Data Engineer

🏢 Summary: Data Engineer role focused on designing and scaling data infrastructure, ETL pipelines, and Lakehouse architecture for manufacturing operations supporting analytics and AI workloads. The position involves building reliable industrial data systems, defining data models, and collaborating across engineering and operations teams in a secure, compliance-driven environment. There is potential for future leadership responsibilities as the organization grows. 🗂️ Requirements: 8+ years of experience in data engineering or data infrastructure, Experience designing and building data lakes or Lakehouse platforms, Experience building ETL/ELT pipelines, Strong data modeling experience for operational and analytical workloads, Experience with relational databases, Strong SQL skills, Ability to work in fast-moving environments with small teams, Ability to communicate across technical and non-technical stakeholders, U.S. Person status for access to export-controlled information 📃 Skills: PostgreSQL, SQLServer, SQL, ETL, ELT, Lakehouse, Python, InfluxDB, TimescaleDB, MQTT, DeltaLake, Iceberg, Airflow, Prefect, dbt, AWS, Azure, GCP 🏢 Description: Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, the company serves critical industries such as defense, aerospace, and automotive. As the Data Engineer, you will design and build the data infrastructure that makes operational and business data useful — first at pilot scale, and then as the foundation for a 10,000 ton/year facility. You will work from architecture to implementation: evaluating and selecting platforms, designing data models and pipelines, and building the systems that collect, contextualize, and deliver data to the teams and tools that depend on it. You will collaborate closely with cross-functional stakeholders to translate operational requirements into a durable, scalable data architecture. As the organization grows, this role has the opportunity to expand into a team leadership position. Responsibilities Architecture & Platform Design - Design and own data architecture from operational data stores through ETL pipelines to the analytics and AI layer - Evaluate and select platforms for the data Lakehouse, ETL tooling, and operational databases, weighing scalability, compliance requirements, operational burden, and cost - Review, refine, and implement data architecture design documents, ensuring designs are technically sound and account for CUI and ITAR data handling requirements - Make and document key platform and design decisions with enough clarity that future team members can understand the reasoning and build on it - Ensure the architecture scales from pilot plant to full-scale facility without fundamental redesign - Apply sound engineering practices to everything you build: version control, testing, observability, and documentation, and hold those standards as the data team grows Data Pipeline & Integration - Design and build ETL pipelines that move data from operational data stores into the data Lakehouse with full contextual enrichment, making it ready for analytics and AI workloads - Build reliable ingest paths for structured data, time-series data, files, images, and other outputs from manufacturing and lab systems - Collaborate across engineering, operations, and IT to understand data flows, dependencies, and integration requirements, and translate them into pipeline and architecture decisions - Identify and eliminate manual data workflows, replacing them with monitored, reliable pipelines - Diagnose and resolve data quality issues across the stack, and build monitoring into pipelines so problems surface early Data Modeling & Quality - Define data models that support operational queries, analytical workloads, and future AI and ML applications - Own data contextualization standards ensuring every data point carries the metadata needed to make it meaningful - Contribute to schema design and payload definitions for operational data stores, working toward consistency and legibility across the organization - Support the development of reporting and visibility tools that give operations and leadership clear insight into process and quality data - Write clear technical documentation for architecture decisions, data models, pipeline designs, and operational runbooks Responsibilities and tasks outlined are not exhaustive and may change as determined by business needs. Qualifications - 8+ years of experience in data engineering, data infrastructure, or a closely related technical role with a track record of owning and delivering production systems - Demonstrated experience designing and building data lakes, Lakehouses, or analytical data stores; understands the tradeoffs between platforms and can make and defend platform selection decisions - Strong experience designing and building ETL/ELT pipelines that enrich and contextualize data - Deep fluency with data modeling for both operational and analytical workloads - Experience with relational databases (PostgreSQL, SQL Server, or similar) - Writes and debugs SQL confidently - Comfortable working in a fast-moving environment with a small team - Strong communicator able to work across technical and non-technical stakeholders - Must be a U.S. Person due to required access to U.S. export-controlled information or facilities Desired Skills - Experience with time-series databases (InfluxDB, TimescaleDB, or similar) - Familiarity with industrial data concepts including historian data, process tags, and OT/IT integration - Experience with Unified Namespace or MQTT-based data architecture - Familiarity with data Lakehouse platforms and open table formats (Delta Lake, Apache Iceberg, or similar) - Experience with ETL orchestration tooling (Airflow, Prefect, dbt, or similar) - Comfort with scripting and lightweight development (Python, SQL, or similar) - Familiarity with cloud platforms (AWS, Azure, or GCP) - Experience working in controlled information environments with CUI, ITAR, or EAR requirements - Experience in manufacturing, industrial, or operations-heavy environments

🏢 Summary: Opportunity for a Network Engineer to design, deploy, and secure enterprise IT and OT network infrastructure across office and manufacturing environments in a regulated, government-adjacent setting. The role focuses on LAN/WAN/WLAN architecture, firewall and segmentation management, CMMC/NIST compliance, and support for industrial control systems. Ideal for candidates with strong Cisco Meraki and Ubiquiti experience and hands-on expertise in converged IT/OT networks. 🗂️ Requirements: 3+ years of network engineering experience, Experience in manufacturing, defense, or government-regulated environment, Hands-on experience with OT/IT converged networks, Familiarity with industrial protocols (Modbus, EtherNet/IP, PROFINET), Direct experience with Cisco Meraki (switching, wireless, security appliances), Direct experience with Ubiquiti UniFi (switches, APs, gateways), Working knowledge of NIST 800-171 and CMMC controls, Strong knowledge of BGP, OSPF, VLANs, QoS, SD-WAN, spanning tree, Experience configuring firewalls, ACLs, and network segmentation, Ability to support audits and CMMC assessments with documentation, U.S. Person status for export-controlled access, Ability to work in manufacturing environment and perform physical network installations 📃 Skills: Cisco, Meraki, Ubiquiti, UniFi, LAN, WAN, WLAN, BGP, OSPF, VLAN, QoS, SD-WAN, Firewalls, ACL, VPN, Modbus, EtherNet/IP, PROFINET, ICS, SCADA, NIST, CMMC, ITAR, EAR 🏢 Description: Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence and Transparency. As a Network Engineer, you will design, deploy, and maintain the network infrastructure that powers our office and manufacturing facilities. You will be a key contributor to ensuring secure, reliable, and high-performance connectivity across IT and Operational Technology (OT) environments. This role requires deep technical expertise in enterprise networking, a strong security mindset aligned with CMMC and NIST 800-171, and hands-on experience in regulated or government-adjacent environments. Responsibilities Network Design and Deployment: Architect, implement, and maintain LAN/WAN/WLAN infrastructure across office and manufacturing environments using Cisco Meraki and Ubiquiti UniFi platforms. OT Network Management: Design and maintain segmented OT/IT network environments supporting industrial control systems, PLCs, and manufacturing floor devices. Enforce strict zone isolation in accordance with NIST and CMMC control families. Security and Compliance: Implement and enforce network security controls aligned with NIST and CMMC requirements, including access control, boundary protection, audit logging, and incident response. Firewall and Segmentation: Configure and manage firewalls, VLANs, ACLs, and micro-segmentation policies to protect CUI and sensitive manufacturing data. Monitoring and Troubleshooting: Proactively monitor network health, respond to outages, and perform root cause analysis across both IT and OT segments. VPN and Remote Access: Administer and maintain secure remote access solutions including site-to-site and client VPN configurations, ensuring least-privilege access. Documentation: Maintain detailed network diagrams, configuration baselines, change logs, and system security plans (SSPs) as required for CMMC assessments. Cross-Functional Collaboration: Partner with Engineering, Operations, and IT teams to support network requirements for automation, data acquisition, and production systems. Government and Compliance Support: Support internal audits, CMMC assessments, and government contract compliance reviews with thorough documentation and evidence collection. Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business. Qualifications Experience: 3+ years of experience in network engineering, preferably in a manufacturing, defense, or government-regulated environment. OT Network Experience: Hands-on experience designing or maintaining OT/IT converged networks including familiarity with industrial protocols (Modbus, EtherNet/IP, PROFINET) and ICS/SCADA network architecture. Platform Proficiency: Direct hands-on experience with Cisco Meraki (switching, wireless, security appliances) and Ubiquiti UniFi (switches, APs, gateways) required. Security Mindset: Working knowledge of NIST 800-171, CMMC, and network-level controls. Experience supporting or preparing for CMMC assessments is strongly preferred. Government Experience (Preferred): Prior experience supporting federal contractors, DoD programs, or government-adjacent facilities with CUI handling and export-controlled environments (ITAR/EAR). Routing and Switching: Strong fundamentals in BGP, OSPF, spanning tree, VLANs, QoS, and SD-WAN concepts. Problem Solving: Ability to diagnose and resolve complex network issues across both IT and OT environments with minimal downtime. Physical Requirements: Ability to lift up to 50 lbs, work in a manufacturing environment, and perform cable runs, rack installations, and equipment mounting. Preferred Certifications: Cisco CCNA or CCNP, Meraki ECMS, CompTIA Network+, CompTIA Security+ Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

🏢 Summary: The offer is for a Network Engineer responsible for designing, deploying, and securing enterprise and OT network infrastructure across office and manufacturing environments. The role focuses on segmented IT/OT networks, compliance with NIST 800-171 and CMMC, and secure connectivity in regulated, government-adjacent settings. It requires strong hands-on experience with enterprise networking platforms and industrial protocols supporting critical manufacturing operations. 🗂️ Requirements: 3+ years of network engineering experience in manufacturing, defense, or government-regulated environments, Hands-on experience with OT/IT converged networks and ICS/SCADA architectures, Experience with industrial protocols: Modbus, EtherNet/IP, PROFINET, Direct experience with Cisco Meraki and Ubiquiti UniFi platforms, Knowledge of NIST 800-171 and CMMC network security controls, Strong routing and switching fundamentals (BGP, OSPF, VLANs, QoS, SD-WAN), Experience configuring firewalls, ACLs, VLANs, and VPNs, Ability to support audits and maintain compliance documentation, U.S. Person status for access to export-controlled information, Ability to work in manufacturing environments and handle physical network installations 📃 Skills: Cisco, Meraki, Ubiquiti, UniFi, LAN, WAN, WLAN, OT, ICS, SCADA, Modbus, EtherNet/IP, PROFINET, NIST, CMMC, BGP, OSPF, VLAN, QoS, SD-WAN, VPN, Firewalls, ACLs 🏢 Description: Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence and Transparency. As a Network Engineer, you will design, deploy, and maintain the network infrastructure that powers our office and manufacturing facilities. You will be a key contributor to ensuring secure, reliable, and high-performance connectivity across IT and Operational Technology (OT) environments. This role requires deep technical expertise in enterprise networking, a strong security mindset aligned with CMMC and NIST 800-171, and hands-on experience in regulated or government-adjacent environments. Responsibilities Network Design and Deployment: Architect, implement, and maintain LAN/WAN/WLAN infrastructure across office and manufacturing environments using Cisco Meraki and Ubiquiti UniFi platforms. OT Network Management: Design and maintain segmented OT/IT network environments supporting industrial control systems, PLCs, and manufacturing floor devices. Enforce strict zone isolation in accordance with NIST and CMMC control families. Security and Compliance: Implement and enforce network security controls aligned with NIST and CMMC requirements, including access control, boundary protection, audit logging, and incident response. Firewall and Segmentation: Configure and manage firewalls, VLANs, ACLs, and micro-segmentation policies to protect CUI and sensitive manufacturing data. Monitoring and Troubleshooting: Proactively monitor network health, respond to outages, and perform root cause analysis across both IT and OT segments. VPN and Remote Access: Administer and maintain secure remote access solutions including site-to-site and client VPN configurations, ensuring least-privilege access. Documentation: Maintain detailed network diagrams, configuration baselines, change logs, and system security plans (SSPs) as required for CMMC assessments. Cross-Functional Collaboration: Partner with Engineering, Operations, and IT teams to support network requirements for automation, data acquisition, and production systems. Government and Compliance Support: Support internal audits, CMMC assessments, and government contract compliance reviews with thorough documentation and evidence collection. Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business. Qualifications Experience: 3+ years of experience in network engineering, preferably in a manufacturing, defense, or government-regulated environment. OT Network Experience: Hands-on experience designing or maintaining OT/IT converged networks including familiarity with industrial protocols (Modbus, EtherNet/IP, PROFINET) and ICS/SCADA network architecture. Platform Proficiency: Direct hands-on experience with Cisco Meraki (switching, wireless, security appliances) and Ubiquiti UniFi (switches, APs, gateways) required. Security Mindset: Working knowledge of NIST 800-171, CMMC, and network-level controls. Experience supporting or preparing for CMMC assessments is strongly preferred. Government Experience (Preferred): Prior experience supporting federal contractors, DoD programs, or government-adjacent facilities with CUI handling and export-controlled environments (ITAR/EAR). Routing and Switching: Strong fundamentals in BGP, OSPF, spanning tree, VLANs, QoS, and SD-WAN concepts. Problem Solving: Ability to diagnose and resolve complex network issues across both IT and OT environments with minimal downtime. Physical Requirements: Ability to lift up to 50 lbs, work in a manufacturing environment, and perform cable runs, rack installations, and equipment mounting. Preferred Certifications: Cisco CCNA or CCNP, Meraki ECMS, CompTIA Network+, CompTIA Security+ Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

🏢 Summary: Network Engineer role responsible for designing, deploying, and securing enterprise and OT network infrastructure across office and manufacturing environments. The position focuses on segmented IT/OT architecture, regulatory compliance (CMMC, NIST 800-171), and secure connectivity using Cisco Meraki and Ubiquiti UniFi platforms. Ideal for professionals experienced in regulated or government-adjacent manufacturing settings. 🗂️ Requirements: 3+ years network engineering experience in manufacturing, defense, or government-regulated environment, Hands-on experience with OT/IT converged networks and ICS/SCADA architectures, Experience with industrial protocols: Modbus, EtherNet/IP, PROFINET, Direct experience with Cisco Meraki and Ubiquiti UniFi platforms, Working knowledge of NIST 800-171 and CMMC controls, Strong routing and switching fundamentals (BGP, OSPF, VLANs, QoS, SD-WAN), Ability to configure firewalls, ACLs, VLANs, and segmentation policies, Experience supporting audits and compliance assessments, Ability to work in manufacturing environment and perform physical network installations, U.S. Person status required 📃 Skills: Cisco, Meraki, Ubiquiti, UniFi, LAN, WAN, WLAN, OT, ICS, SCADA, Modbus, EtherNet/IP, PROFINET, BGP, OSPF, VLAN, QoS, SD-WAN, VPN, Firewalls, ACL, NIST, CMMC, ITAR, EAR 🏢 Description: Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence and Transparency. As a Network Engineer, you will design, deploy, and maintain the network infrastructure that powers our office and manufacturing facilities. You will be a key contributor to ensuring secure, reliable, and high-performance connectivity across IT and Operational Technology (OT) environments. This role requires deep technical expertise in enterprise networking, a strong security mindset aligned with CMMC and NIST 800-171, and hands-on experience in regulated or government-adjacent environments. Responsibilities Network Design and Deployment: Architect, implement, and maintain LAN/WAN/WLAN infrastructure across office and manufacturing environments using Cisco Meraki and Ubiquiti UniFi platforms. OT Network Management: Design and maintain segmented OT/IT network environments supporting industrial control systems, PLCs, and manufacturing floor devices. Enforce strict zone isolation in accordance with NIST and CMMC control families. Security and Compliance: Implement and enforce network security controls aligned with NIST and CMMC requirements, including access control, boundary protection, audit logging, and incident response. Firewall and Segmentation: Configure and manage firewalls, VLANs, ACLs, and micro-segmentation policies to protect CUI and sensitive manufacturing data. Monitoring and Troubleshooting: Proactively monitor network health, respond to outages, and perform root cause analysis across both IT and OT segments. VPN and Remote Access: Administer and maintain secure remote access solutions including site-to-site and client VPN configurations, ensuring least-privilege access. Documentation: Maintain detailed network diagrams, configuration baselines, change logs, and system security plans (SSPs) as required for CMMC assessments. Cross-Functional Collaboration: Partner with Engineering, Operations, and IT teams to support network requirements for automation, data acquisition, and production systems. Government and Compliance Support: Support internal audits, CMMC assessments, and government contract compliance reviews with thorough documentation and evidence collection. Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business. Qualifications Experience: 3+ years of experience in network engineering, preferably in a manufacturing, defense, or government-regulated environment. OT Network Experience: Hands-on experience designing or maintaining OT/IT converged networks including familiarity with industrial protocols (Modbus, EtherNet/IP, PROFINET) and ICS/SCADA network architecture. Platform Proficiency: Direct hands-on experience with Cisco Meraki (switching, wireless, security appliances) and Ubiquiti UniFi (switches, APs, gateways) required. Security Mindset: Working knowledge of NIST 800-171, CMMC, and network-level controls. Experience supporting or preparing for CMMC assessments is strongly preferred. Government Experience (Preferred): Prior experience supporting federal contractors, DoD programs, or government-adjacent facilities with CUI handling and export-controlled environments (ITAR/EAR). Routing and Switching: Strong fundamentals in BGP, OSPF, spanning tree, VLANs, QoS, and SD-WAN concepts. Problem Solving: Ability to diagnose and resolve complex network issues across both IT and OT environments with minimal downtime. Physical Requirements: Ability to lift up to 50 lbs, work in a manufacturing environment, and perform cable runs, rack installations, and equipment mounting. Preferred Certifications: Cisco CCNA or CCNP, Meraki ECMS, CompTIA Network+, CompTIA Security+ Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

🏢 Summary: Design and build a modern Data Platform from scratch for an insurance client, establishing a governed, production-ready Snowflake environment and enabling AI capabilities. The role covers full lifecycle ownership from architecture and data modelling to pipeline implementation and post-launch operations. You will develop scalable data ingestion and processing solutions while promoting best practices, automation, and CI/CD standards. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (Snowflake, BigQuery or Redshift), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design, Experience with cloud platforms (AWS, GCP or Azure), Experience with cloud data services (S3, GCS, ABS, EMR, Dataproc, MWAA, Composer, ADF or AWS Glue), Ability to design and maintain data quality and governance standards, Experience working in Agile environments 📃 Skills: Python, SQL, Snowflake, Databricks, BigQuery, Redshift, Azure, AWS, GCP, Terraform, dbt, Spark, PowerBI, ADF, Glue, EMR, Dataproc, MWAA, Composer 🏢 Description: We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself! About the role The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects). You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics. You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible. Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs. Flexibility in action and the ability to overcome obstacles are highly valued in this role. View available projects: Project JetBrains Projectt scope The client is introducing Atlan as a new internal Data Catalogue solution and uses Glean as a company-wide unified search platform for thousands of employees. To ensure a smooth transition from our existing Knowledge Base and OpenMetadata setup, we need to index Atlan assets into Glean so that metadata for databases, tables, metrics, and reports is easily discoverable through search. Tech stack Python,  System & Data Integration, Kubernetes, System design, Infrastructure mindset Skills We’re looking for a Data Platform Engineer with experience in data platforms and system design at scale. We expect a track record in designing integration architectures for external systems and streamlining data migration/ingestion. As a Data Platform Engineer, you will design and implement a solution that: Periodically indexes Atlan metadata assets into Glean, runs on a configurable schedule (hourly/daily), is production-ready, observable, and maintainable by our DevOps team after handover. Moreover, ensure compliance and data governance at the appropriate level in line with the company’s standards. What we expect in general A proactive approach and flexibility in action were a must Very good command of English (written and spoken) Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process Experience with Infrastructure as Code practices, particularly Terraform, is an advantage Proactive approach Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more! Apply now

🏢 Summary: Lead Data Engineer role focused on driving architecture and leading a team to build scalable, secure ETL/ELT pipelines and analytics-ready data models on modern cloud platforms. The position combines hands-on engineering with technical leadership, ensuring high standards in governance, observability, and performance optimisation. You will shape data infrastructure that supports large-scale analytics across the organisation. 🗂️ Requirements: Proven experience leading data engineering or analytics engineering teams, Strong programming skills in SQL, Strong programming skills in Python, Hands-on experience with Airflow or Prefect in production, Deep practical experience with dbt, Experience with Snowflake or Databricks at scale, Strong knowledge of dimensional modelling and SCD strategies, Experience implementing data quality and governance frameworks, Experience with CI/CD and automated testing in data systems 📃 Skills: SQL, Python, Airflow, Prefect, dbt, Snowflake, Databricks, ETL, ELT, CI/CD, SCD, Dimensional, Git, IaC 🏢 Description: ABOUT THE COMPANY Our client is a global legal technology company that has been building software for the legal industry for over two decades. Our AI-powered cloud platform is used by leading law firms, Fortune 500 corporations, and government agencies worldwide to organise complex data, surface critical insights, and act on them — across litigation, investigations, regulatory inquiries, and data breach response. We're valued at $3.6 billion and invest over $170 million annually in R&D. We're making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics. Our scale means the data problems here are genuinely hard — and the infrastructure you lead will have real consequence across the organisation. ABOUT THE ROLE We're looking for a Lead Data Engineer to combine deep technical expertise with hands-on team leadership, guiding a team of data engineers building and maintaining ETL/ELT pipelines, data models, and governance frameworks that power analytics and reporting across the organisation. This is a technical leadership role — you'll drive architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable data solutions. You'll collaborate closely with stakeholders to align technical work with business objectives, champion governance and observability standards, and foster a culture of continuous improvement. The expectation is that you're equally effective in an architecture review as you are pairing with an engineer on a tricky pipeline problem. WHAT YOU'LL WORK ON Team leadership and mentorship Lead and mentor a team of data engineers, promoting collaboration, knowledge sharing, and professional growth. Set the standard for engineering quality and hold the bar consistently. Architecture and pipeline design Drive architectural decisions for ETL/ELT pipelines, orchestration frameworks (Airflow/Prefect), and transformation layers (dbt). Facilitate architecture reviews and contribute to design decisions for scalable, fault-tolerant systems. Analytics data modelling Oversee design and implementation of analytics-ready data models — dimensional schemas, SCD strategies, and semantic layers — that internal teams can build on reliably. Engineering best practices Ensure adherence to clean code, modular design, CI/CD, automated testing, and code review standards across all data engineering work. Platform optimisation Manage performance tuning and cost optimisation for Snowflake, Databricks, and related cloud data platforms at scale. Governance and observability Champion governance, observability, and compliance frameworks across all data workflows — including data quality, lineage tracking, and multi-tenant environment controls. Stakeholder communication Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure timely delivery aligned with business objectives. WHAT WE LOOK FOR Proven technical team leadership Demonstrated experience leading data engineering or analytics-focused development teams — mentoring engineers, driving architectural decisions, and owning delivery outcomes. SQL and Python Strong programming skills in both SQL and Python, applied to production data systems at scale. ETL/ELT orchestration Hands-on experience with orchestration tools — Airflow and/or Prefect — in production pipeline environments. dbt expertise Deep practical experience with dbt for transformation workflows and analytics modelling, including testing, documentation, and modular project design. Snowflake and Databricks Familiarity with Snowflake and/or Databricks for large-scale data processing, including performance tuning and cost management. Data modelling principles Solid understanding of data modelling principles, incremental strategies, and schema design for analytics — dimensional modelling, SCDs, and semantic layer design. Governance and data quality Knowledge of data quality frameworks, lineage tracking, and governance in multi-tenant environments. Software engineering practices Familiarity with CI/CD, automated testing, and infrastructure-as-code practices applied to data systems. Communication and stakeholder management Strong communication skills with the ability to operate confidently across technical teams and business stakeholders. THE TEAM You'll join a global engineering organisation working on a platform used by some of the world's largest legal teams. The culture is diverse, inclusive, and driven by high standards. Engineers here work on genuinely complex technical problems at scale — and are supported with the coaching, development, and tooling to keep growing. COMPENSATION & BENEFITS Salary 270,000 – 406,000 PLN per year, plus an annual performance bonus and long-term incentives. Health coverage Comprehensive health, dental, and vision plans. Parental leave Parental leave available for both primary and secondary caregivers. Flexible working Flexible work arrangements, hybrid model. Company breaks Two week-long company-wide breaks per year, plus additional time off. Training investment Dedicated training investment programme to support ongoing professional development.

🏢 Summary: Lead Data Engineer serving as an SME to design, implement, and sustain secure, automated data pipelines supporting mission systems across a government software ecosystem. The role focuses on building scalable ETL workflows, defining data exchange interfaces, and ensuring interoperability and RMF compliance in highly regulated environments. You will enable reliable ingestion, transformation, and dissemination of mission-critical data across internal and external systems. 🗂️ Requirements: Bachelor’s degree with 9+ years of experience or Master’s with 7+ years or PhD/JD with 4+ years in relevant field, 7+ years experience in software engineering, systems integration, or platform implementation in DoD, IC, SAP/SCI, or similar environments, Experience designing or implementing data pipelines, ETL workflows, or data integration architectures, Experience with structured and semi-structured data formats, Active Top Secret clearance with ability to obtain SCI and Special Program access, Willingness to undergo polygraph examination 📃 Skills: Python, ETL, JSON, CSV, XML, Apache, NiFi, Airflow, Pandas, NumPy, REST, RMF, PPSM, Palantir, Foundry 🏢 Description: Job Description Seeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME). You will work directly with government, technical, and industry stakeholders design, implement, and sustain data pipelines that ingest, transform, store, and distribute mission-relevant data across the DIFC2 software ecosystem and external mission partner systems/ You will support the development and delivery of software capabilities that improve data accessibility, mission integration, operational visibility, and cross-system interoperability across a highly dynamic mission environment. The focuses on enabling reliable, automated, and secure data flows that support mission capabilities on operational timelines. This position requires collaboration with mission system stakeholders, platform engineers, and security teams to define data exchange artifacts, develop pipeline implementations, and ensure interfaces comply with Risk Management Framework (RMF) requirements. The engineer will leverage both low-code/no-code ETL technologies and custom software development to implement scalable data pipelines that support the data architecture. Typical job responsibilities Include: Mission-Relevant Data Artifact Identification: Analyze mission workflows and system architecture to identify the data artifacts required to support operational capabilities. Define the structure, semantics, and lifecycle of mission data products within the data architecture. Ensure data artifacts align with architectural standards for interoperability, traceability, and reuse across mission components. Coordinate with External Stakeholders: Serve as the primary technical liaison for defining data exchange interfaces between mission systems. Collaborate with mission partners to define message schemas, data formats, transport mechanisms, and interface expectations. Document data interface specifications to support both system integration and operational sustainment. RMF & Security Documentation Support: Support the RMF process by defining technical details for machine-to-machine data interfaces. Produce or contribute to required RMF artifacts including: Data message descriptions Ports, Protocols, and Services Management (PPSM) entries System topology diagrams and interface documentation Coordinate with cybersecurity engineers to ensure pipeline implementations meet DoW security and compliance requirements. Data Pipeline Development & Sustainment: Design and implement automated data pipelines that ingest, transform, persist, and expose data artifacts for use by internal and external stakeholders. Utilize government-provided data platform infrastructure to build scalable ETL workflows. Develop custom transformation logic when required using appropriate programming languages and data processing frameworks. Expose processed data products through standardized service interfaces such as REST APIs or platform-native services. Data Pipeline Development & Sustainment: Implement data validation, normalization, and transformation logic to ensure accuracy and usability of integrated datasets. Troubleshoot data pipeline failures and implement monitoring, logging, and recovery mechanisms. Optimize pipeline performance to support mission timelines and large-scale data processing requirements. Deliverables & Key Projects Design and implementation of production data pipelines enabling automated ingestion and dissemination of mission data across systems. Technical documentation describing data artifacts, including purpose and operational relevance, source systems and ingestion methods, transformation logic, and destination systems and access interfaces Interface documentation supporting integration with external mission partners. RMF technical artifacts supporting security authorization of data interfaces. Continuous improvement and sustainment of the data pipeline ecosystem to support evolving mission needs. Qualifications 9 years of experience and a Bachelor's degree in Computer Science, Software Engineering, Management Information Systems/Information Systems, or a related discipline; or a Master's degree and 7 years of experience; or a PhD/JD and 4 years of experience. 7+ years of experience supporting software engineering, systems integration, platform implementation, or application development efforts within DoD, IC, SAP/SCI, or other complex mission environments. Experience designing or implementing data pipelines, ETL workflows, or data integration architectures. Experience working with structured and semi-structured data formats (JSON, CSV, XML, etc.). Requires an active Top Secret clearance with the ability to obtain and maintain Sensitive Compartmented Information and Special Program access, as well as a willingness to consent to a polygraph examination. You will wow us even more if you have experience will the following: Proficiency with low-code/no-code data orchestration technologies such as Apache NiFi, Apache Airflow, or similar ETL orchestration tools. Experience implementing data transformation logic using Python and data processing libraries such as Pandas and NumPy. Certification or demonstrated experience as a Palantir Foundry Data Engineer, including use of Code Repositories, Pipeline Builder, AIP Logic, and other platform-relevant technologies Experience designing pipelines that process and fuse large-scale datasets from multiple sources. Familiarity with DoW data architectures, mission system integration, or data interoperability frameworks. Ability to communicate effectively with engineers, architects, operators, and senior Government leadership while translating technical concepts into mission-relevant value. Proven ability to work in highly regulated, fast-moving environments where technical excellence, mission responsiveness, and stakeholder coordination are all critical to success. Blue Sky Innovators, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are a qualified job seeker with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.blueskyinnovators.com as a result of your disability. To request an accommodation, please email us at careers@blueskyinnovators.com and provide your name and contact information. Please note: this is only for job seekers with disabilities requesting an accommodation.

🏢 Summary: Data Engineer role focused on building and scaling data infrastructure for advanced robotics systems. The position involves designing reliable batch and real-time pipelines, optimizing ETL/ELT processes, and implementing data governance across cloud platforms. You will collaborate cross-functionally to deliver high-quality, scalable data solutions supporting company-wide analytics and operations. 🗂️ Requirements: BS/MS/PhD in Computer Science, Mathematics, Computer Engineering or related field, or equivalent practical experience, 1–5 years of professional experience, Proficiency in Python and SQL, Hands-on experience with Rust, Go, Java, C#, or C++, Experience with Kafka, Spark, and lakehouse formats (Icebert, DeltaLake), Experience with AWS, GCP, or Azure, Strong debugging and problem-solving skills, Willingness to work extended hours and weekends if needed, Ability to work full time onsite in San Francisco 📃 Skills: Python, SQL, Rust, Go, Java, C#, C++, Kafka, Spark, Icebert, DeltaLake, AWS, GCP, Azure, Clickhouse, Flink, Databricks 🏢 Description: About the Role Help us advance our robotics moonshot by scaling our data engineering efforts. Drive design and development of data infrastructure across our products and internal tools. You will play a critical role in working with a cross-functional team to architect and build advanced robotic systems. Responsibilities - Design, build, and maintain scalable, reliable data pipelines that support both batch and real-time analytics. - Develop and optimize ETL/ELT processes to ingest, transform, and integrate data from multiple sources into data warehouses and lakehouse platforms. - Drive and apply best practices in data modeling, pipeline architecture, query optimization, data quality, and data engineering standards. - Collaborate closely with finance, bizops, and engineering teams to understand data needs and deliver solutions. - Provide data engineering support to ensure data accessibility and usability company-wide. - Implement and maintain data governance frameworks to support compliance with internal policies and external regulatory requirements. - Evaluate and adopt modern data engineering technologies, tools, and best practices to improve scalability, reliability, and operational efficiency. - Document data engineering processes, designs, and architectures. Qualifications - BS/MS/PhD in Computer Science, Mathematics, Computer Engineering, or a related field, or equivalent practical experience. - 1-5 years of professional experience. - Proficiency in writing production-grade code in Python and SQL. - Hands-on experience with one of the following languages: Rust, Go, Java, C#, C++. - Strong debugging skills and the ability to diagnose and resolve issues efficiently. - Experience with Kafka, Spark and common lakehouse formats like Icebert, DeltaLake. - Experience working with cloud platforms like AWS, GCP, Azure. Preferred Experience - Experience with Clickhouse, Apache Flink, Databricks. - Experience on financial reporting and understanding of accountability. Additional Requirements - Willing to work extended hours and weekends if needed. - This position is based full time in our San Francisco headquarters. Compensation The pay range for this position at the start of employment is expected to be between $140,000 - $200,000/year. The exact offer may vary depending on job-related knowledge, skills, and experience. In addition to cash compensation, this position will also receive generous equity. Benefits - Unlimited Flexible Time Off. - Health insurance (medical, dental, vision). - Paid parental leave. - Commuter benefits including fully paid parking spots. - Referral bonus. - 401k retirement plan. - Equity program.

🏢 Summary: Fullstack Data & AI Engineer role focused on building and maintaining end-to-end applications using .NET/C# and Angular, while designing data pipelines and integrating AI/LLM features. The position combines full-stack development with cloud data warehouse work and ETL processes to deliver scalable, AI-powered solutions. Responsibilities include performance optimization, Azure-based deployments, and technical support. 🗂️ Requirements: Bachelor’s degree in Computer Science, Information Systems, or related field, Minimum 6 years of .NET/C# and T-SQL full-stack development experience, Strong experience with ASP.NET, Angular, REST, Entity Framework, Hands-on experience with SQL Server and T-SQL, Experience with cloud data warehouses (Redshift, BigQuery, Snowflake, or Azure Synapse), Experience designing and maintaining ETL/ELT data pipelines, Practical experience integrating LLMs and AI tools, Minimum 2 years of experience with Azure-hosted applications, Understanding of secure coding practices, Experience with Azure DevOps 📃 Skills: C#, .NET, ASP.NET, Angular, T-SQL, SQL, SQLServer, EntityFramework, REST, JavaScript, Azure, Redshift, BigQuery, Snowflake, AzureSynapse, ETL, ELT, LLM, AI, AzureDevOps, MessageQueues 🏢 Description: Vecten is an AI-native data and technology partner for private equity, venture capital, and healthcare. We build proprietary data infrastructure, deploy AI solutions, and own the outcomes — not just the code. Our clients manage a cumulative $210B+ in assets and stay with us for an average of five years. We've reorganized our own company around AI, and we do the same for the firms that trust us with their most critical decisions. The project: The primary role of the Fullstack Data & AI Engineer is to build and maintain software applications using .NET/C# and Angular, while also designing and supporting data pipelines and AI-powered features. The person will create applications from scratch as well as modify existing ones, including configuration, testing, and deployment. Beyond application development, you will work with cloud data warehouses, ETL processes, and LLM integrations to deliver end-to-end solutions. You will also provide application support and mentor junior team members. On a daily basis, you will write and debug code, work with large datasets, and collaborate with software engineers, QA analysts, product managers, business analysts, and production support engineers to build software solutions that meet client business needs. The role: Write clean, scalable, and secure code using T-SQL and .NET/C# for applications hosted on-prem and in Azure Develop front-end and back-end components using Angular, .NET Core, C#, T-SQL, JavaScript, Message Queues, and related technologies Design, implement, and maintain data pipelines and ETL/ELT processes, including ingestion, transformation, and loading into cloud data warehouses such as Redshift or BigQuery Build and maintain efficient database schemas, stored procedures, and queries using SQL Server; optimize queries and application code for performance and stability Integrate LLM-based features and AI tools into applications and development workflows Revise, update, refactor, and debug code to troubleshoot errors and improve quality Follow Agile methodology and participate in team ceremonies (Standup, Retro, Planning, Refinement, etc.) Participate in requirements analysis and refinement, updating requirements as needed Produce and execute unit tests Participate in code reviews and both provide and incorporate feedback Collaborate with internal teams to produce and document scalable software design and architecture Contribute to improving development processes, engineering tools, code quality, automation, and the SDLC Serve as a technical expert on applications and provide Level 2/3 support via Helpdesk tickets as needed What's important for us? Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience At least 6 years of .NET/C# and T-SQL full-stack development experience, including C#, ASP.NET , SQL Server (T-SQL), REST, Angular, and Entity Framework Hands-on experience with cloud data warehouses such as Redshift, BigQuery, Snowflake, or Azure Synapse, including designing schemas, writing complex queries, and managing large datasets Practical experience building and maintaining data pipelines and ETL/ELT processes AI-forward mindset with practical experience using LLMs and AI tools to improve development workflows and application capabilities 2+ years of experience developing and supporting applications hosted in Azure Good understanding of secure coding guidelines and the ability to apply them in practice Experience working with Healthcare EDI transactions is a plus; 1-2 years of Healthcare or Insurance industry experience is a plus Strong analytical, critical thinking, and problem-solving skills, combined with solid interpersonal and communication skills High attention to detail; able to organize and prioritize work while maintaining accuracy Ability to work independently and follow through on assignments with minimal direction Working knowledge of Azure DevOps or ability to learn it quickly What do we offer? Culture of teamwork, professional development, and knowledge sharing ( https://www.youtube.com/user/sunscraperscom ) Flexible working hours and remote work possibility Multisport card Private medical care Culture of good feedback: code reviews, evaluation meetings, mentoring. Comfortable office in central Warsaw equipped with all the necessary tools for comfortable work (Macbook Pro, external screen, ergonomic chairs) - if working on-site

🏢 Summary: Senior Data Engineer role focused on designing and building scalable serverless data ingestion pipelines in AWS within the healthcare domain. The position emphasizes strong Python engineering, cloud architecture leadership, and implementation of modern data platforms and DevOps practices. The role involves driving technical excellence and delivering reliable, high-impact data solutions in an international environment. 🗂️ Requirements: 10+ years of experience in Python programming, Strong software engineering skills in data processing, Extensive experience with AWS Cloud and Serverless Architecture, Hands-on experience with AWS Lambda, S3, and Cognito, Experience building E2E automated tests for data pipelines, Practical knowledge of Data Mesh and Medallion Architecture, Experience with Infrastructure as Code using AWS CDK or Terraform, Experience with CI/CD pipelines using GitLab or GitHub Actions, Experience with ETL/ELT processes and dbt, Experience working with GraphQL, Minimum B2 level English proficiency 📃 Skills: Python, AWS, Lambda, S3, Cognito, Boto3, DataMesh, Medallion, CDK, Terraform, GitLab, GitHubActions, ETL, ELT, dbt, GraphQL, CI/CD 🏢 Description: We are looking for a highly skilled Data Engineer to join our client in the healthcare sector. Our requirements: Technical Expertise: Python Programming: 10+ years of experience with strong Software Engineering skills focused on data processing. AWS & Serverless: Extensive experience with AWS Cloud, specifically focusing on Serverless Architecture and services (including AWS Lambda , AWS S3 Tables , and AWS Cognito ). Automated Testing: Proven experience in developing End-to-End (E2E) automated tests to ensure pipeline reliability, utilizing tools such as Boto3 for AWS resource validation. Data Concepts: Practical knowledge of Data Mesh and Medallion Architecture , along with general data processing and analysis. DevOps & IaC: Hands-on experience with Infrastructure as Code ( AWS CDK or Terraform ) and CI/CD pipelines ( GitLab pipelines or GitHub Actions ). Modern Tooling: Experience with ETL/ELT solutions, dbt , and GraphQL . Communication & Soft Skills: English Language: Minimum B2 level , enabling smooth daily technical and business communication in a global environment. Collaboration: Excellent communication skills and the ability to thrive in a collaborative, international team. Standards: A strong commitment to high standards of ethics, quality (Clean Code), and reliable delivery. Nice to have: Experience with Snowflake and SQL . Knowledge of Data Vault 2.0 modeling. Experience with Databricks . Familiarity with the Microsoft ecosystem: C# / .Net, T-SQL, SQL Server , and Azure DevOps . Experience with Star Schema database modeling. Knowledge of Descriptive Statistics. Your responsibilites: Design and build scalable Data Ingestion pipelines within the AWS cloud ecosystem. Lead technical delivery and implementation of core platform components, ensuring architectural integrity across the entire data lifecycle. Collaborate with Engineering Managers and cross-functional teams across the globe and Poland. Drive technical excellence by improving team processes, architecture standards, and engineering best practices. Support and consult with stakeholders to ensure successful delivery of high-impact, data-driven solutions. Contribute to the growth and maturity of the team’s cloud and data engineering capabilities. We offer: Challenging role within the company that creates innovative solutions. Work in international environment on demanding projects. Remote work model. Subsidized private medical care, life insurance, multisport card. Integration meetings. Employee referral program. If you have a deep expertise in Python and AWS , and building scalable Serverless data architectures is where you truly excel, this is the perfect role for you!