Data Protection Engineer

🏢 Summary: Backend engineering role focused on building large-scale data governance and privacy compliance infrastructure supporting GDPR and Digital Services Act obligations. The position involves developing data classification pipelines, governance catalogs, and secure access systems for sensitive data using distributed cloud infrastructure. Remote within Sweden for a 6‑month engagement starting mid-August or September. 🗂️ Requirements: Backend engineering experience in Java, Experience with Google Cloud Platform, Experience with large-scale distributed systems, Hands-on experience with BigQuery, Hands-on experience with GCS, Hands-on experience with Kubernetes, Experience with large-scale data infrastructure, Ability to design reliable and auditable systems, Experience working across cross-functional teams, Focus on code quality, testing, and documentation 📃 Skills: Java, GCP, BigQuery, GCS, Kubernetes, GDPR, DSA 🏢 Description: The Pangolins squad is the data protection engineering team within the Data Infrastructure organization. We build and operate the systems that enable us to meet our privacy and compliance obligations at scale — covering GDPR rights like Right to be Forgotten and Subject Access Requests, data retention enforcement, and access governance. You'll join a team of 6 engineers. Every team that stores personal data depends on the infrastructure we build. We sit at the intersection of infrastructure engineering, privacy/compliance, and product enablement — and right now, we're expanding to support our most critical regulatory initiative. The Digital Services Act (DSA) places new obligations on very large online platforms, and our ability to meet them runs directly through our team. We're building the data governance and compliance infrastructure underpinning our VLOP obligations — with hard regulatory deadlines and real legal exposure. The work spans data cataloging, researcher data access, cross-border law enforcement data access, and ML-based tooling for personal data annotation. If you're energized by infrastructure that has real-world privacy impact and want to work at the intersection of engineering, compliance, and product — we'd love to have you on the team. What You'll Do Build the programmatic classification pipeline and governance data catalog behind our DSA obligations — classifying data fields across tens of thousands of endpoints and provisioning them to EU-credentialed researchers through secure environments. Develop the governance taxonomy and data model for sensitive data categories (starting with Precise Location Data), establishing foundational infrastructure that will outlast the VLOP mandate. Contribute to the EU e-Evidence system — cross-border law enforcement data access infrastructure — as new data categories and product features come online. Partner with Data Governance, Content Platform, Legal, and product teams to deliver cross-org solutions that are reliable, auditable, and scalable. Champion engineering best practices, strong architectural design, and a culture of shared ownership and continuous improvement. Who You Are You have solid backend engineering experience in Java on Google Cloud Platform, and you're comfortable working across large-scale distributed systems. You have hands-on experience with large-scale data infrastructure — ideally BigQuery, GCS, and Kubernetes — and can navigate complex data pipelines with confidence. You think critically about system design and build solutions that are reliable, maintainable, and auditable at scale — especially in compliance-critical contexts. You work well across team boundaries — with Legal, Data Governance, Product, and engineering partners — and bring clarity when requirements are evolving. You're comfortable with ambiguity. Regulatory work moves fast; you know how to make progress even when the ground is shifting. You care about code quality, testing, and documentation, and you build systems that are easy for others to understand and operate. You're self-motivated and genuinely excited about infrastructure that has real-world privacy and compliance impact. Engagement Details Start: mid-August/September - 6 months Location: Stockholm/Sweden (Remote within Sweden)

🏢 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: Contingent Data Engineer I role supporting a DoD federal client, focused on developing, maintaining, and troubleshooting data pipelines and integrations for the VA Office of Information & Technology IT Budget and Finance environment. The position involves working with SSIS, SQL, and Power BI to manage ETL processes, data staging, production loads, and reporting solutions. The role includes database performance tuning, documentation, and help desk support within a secure, compliance-driven setting. 🗂️ Requirements: 3+ years of experience in data engineering, data integration, or related technical roles, Strong SQL skills for data engineering and automation, Hands-on experience developing, supporting, and troubleshooting Power BI reports and semantic models, Eligibility for Tier 1 background investigation 📃 Skills: SQL, SSIS, PowerBI, ETL, Apptio, MicrosoftSQLServer, DataModeling, DatabaseIndexing, DataIntegration 🏢 Description: Andrew Morgan, LLC is a rapidly growing Service-Disabled Veteran-Owned Small Business (SDVOSB) and HUBZone-certified organization. We are seeking a qualified Data Engineer I to support a potential contract award with DoD Federal Client This role is contingent upon contract award and will play a critical part in our efforts to deliver exceptional results for this opportunity. RESPONSIBILITIES: The Junior Data Engineer will support the Senior Data Engineer in pipeline development, data transformation, and secure data integration activities supporting the VA Office of Information & Technology (OIT) IT Budget and Finance (ITBF). Support planning, monitoring, and maintenance of data assets provided by the Data Centralization and Business Intelligence (DCBI) team. Support existing ETL packages, validation scripts, and migration workflows for ingestion into Apptio using Microsoft SQL Server Integration Services (SSIS). Support the Senior Data Engineer with the development of new SSIS packages for additional data sources when identified by the customer. Maintain a SSIS Job Maintenance Log to identify updates and changes to SSIS-based data interfaces and related data staging processes. Update existing SSIS packages based on upstream system changes identified by the SSIS Job Maintenance Log. Support data staging and data loading into production environments. Support resolution of help desk tickets (Levels 1–3) related to all data assets and aspects of the data integration environment. Support performance tuning and indexing of operational databases. Support sustainment and troubleshooting for Microsoft Power BI reports and scheduled refreshes. Maintain Technical Documentation including Interface Control Document (ICD)s, Data Flow Diagram (DFD)s, Entity Relationship Diagram (ERD)s, Standard Operating Procedure (SOP)s, Center of Excellency (CoE) documentation and training materials. REQUIREMENTS: 3 or more years of experience in data engineering, data integration, or related technical roles. Skilled in SQL for data engineering and automation. Hands on experience developing, supporting and troubleshooting Power BI reports and semantic models. Must be eligible for Tier 1 background investigation. PREFERRED QUALIFICATIONS: Background in DoD, federal healthcare, or compliance-driven settings Proven expertise in building and managing data pipelines using SSIS. SALARY Salary is commensurate with both location and experience. THE AM EMPLOYEE WILL DISPLAY… Attention to Detail: Produce high-quality deliverables and outputs that align with contract outcomes. Self-Sufficiency: Execute tasks independently, seeking client assistance only after internal resources are exhausted, ensuring requests align with contract goals. Teamwork: Collaborate effectively with team members, including AMC resources, subcontractors, and government stakeholders. Communication/Engagement: Maintain professional conduct in meetings and written communication, participating actively with cameras on. Responsiveness: Stay engaged, communicate promptly, and ensure deadlines are consistently met. ABOUT ANDREW MORGAN… Andrew Morgan, LLC, founded in 2017 and headquartered in Alexandria, VA, is a Service-Disabled Veteran Owned Small Business (SDVOSB) and a certified HUBZone Small Business. We specialize in delivering high-quality consulting services to both federal and commercial clients, offering expertise in Strategy and Management Consulting, Technology & Architecture Services, and Industry & Mission Analytics Solutions. Our distinguished clientele includes the Department of Veterans Affairs (VA), National Aeronautics and Space Administration (NASA), the Department of Defense (DoD), and the United Stated Army Corps of Engineers (USACE). We are committed to providing innovative solutions and exceptional service to support our clients' missions and objectives. BENEFITS: 15 days of Paid Time Off + 11 Paid Federal Holidays 401K Program (up to 4% employer matching) Three Gold Healthcare Options (with 75%-90% employer-paid premiums) Flexible Spending Account / Dependent Care Assistance Program Employer-Paid Short Term Disability Insurance Employer-Paid Long Term Disability Insurance Employer-Paid Life Insurance Professional Training and Development Corporate Team Building Events And MORE! Join AM Today! EQUAL OPPORTUNITY EMPLOYER: Andrew Morgan Consulting does not discriminate in employment opportunities, terms and conditions of employment, or practices. All qualified applicants will receive consideration for employment without regard to race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, protected veteran status, or any characteristic protected by law.

🏢 Summary: B2B Test Data Specialist role in the banking domain focused on data privacy, GDPR compliance, and implementation of data masking solutions across enterprise data platforms. The position involves analyzing source systems, designing and validating masking rules, and ensuring secure handling of sensitive data. Work is hybrid, with 3 days per week onsite in Warszawa, Gdańsk, or Łódź. 🗂️ Requirements: 5+ years experience in source system analysis, Experience identifying sensitive data fields, Experience implementing data masking solutions, Knowledge of data discovery and classification, Experience with static and dynamic data masking, Experience masking data in Snowflake, Knowledge of GDPR regulations, Ability to design and document masking rules 📃 Skills: Delphix, Snowflake, GDPR, SQL, CI/CD, Docker, Kubernetes, SDLC, DataMasking, DataDiscovery 🏢 Description: contract: B2B rate: up to 160 pln/h + VAT work mode: 3 days a week from the office, Warszawa/Gdańsk/Łódź domain: banking Overview The role of the Test Data Specialist is vital in ensuring data privacy and compliance within data management processes. The ideal candidate will possess comprehensive experience in analyzing source systems, implementing masking solutions, and a solid understanding of GDPR requirements. Main Responsibilities: Data discovery and classification of sensitive information (GDPR/sensitive data) Data masking design and implementation, including static, dynamic, and on-the-fly masking techniques Mapping data elements to appropriate algorithms Documentation of masking rules Validation and tuning of masking rules based on datasets and application requirements Awareness of data privacy and compliance regulations (GDPR) Key Requirements: 5+ years of experience in analyzing source systems to identify sensitive fields and implementing data masking solutions Knowledge of Delphix masking software (preferable) or other similar masking tools Experience in masking on Snowflake Nice to Have: SDLC participation in enterprise IT environments Automation of monitoring, maintenance, and reporting tasks CI/CD configuration and troubleshooting Containerization and virtualization fundamentals (Docker, Kubernetes)

🏢 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!

🏢 Summary: Hands-on data infrastructure engineering role focused on large-scale pipeline migrations and evolution of the company’s data processing stack. The position involves contributing to platform development across Flink and Lakehouse architectures while ensuring performance, reliability, and cost efficiency. High-impact role embedded in a data engineering team delivering production-grade data platforms. 🗂️ Requirements: Strong Java development experience, Experience with JVM-based data processing framework, Experience with Flink, Beam, Dataflow or Spark, Proficiency in SQL, Experience with BigQuery, Experience with cloud infrastructure, Experience with containerized applications, Knowledge of Kubernetes basics, Experience with Scala or Python for data pipelines, Experience working with production data engineering systems 📃 Skills: Java, Flink, Beam, Dataflow, Spark, SQL, BigQuery, Kubernetes, Scala, Python, JVM, DevOps, Lakehouse, Cloud 🏢 Description: The Data Infrastructure PA enables the company to solve complex and critical data engineering problems by providing platforms and tooling for the production, management, and consumption of high-quality data. We're looking for an engineer to support hands-on implementation and migration work as we evolve our data processing stack. This is a high impact and execution-focused engagement — you'll be contributing to company wide migration efforts and platform development. What You'll Work On You'll be embedded in a team in Data Infrastructure PA, contributing to hands-on engineering work. This includes large-scale pipeline migrations — validating performance and cost outcomes and helping move workloads to our evolving stack — as well as contributing to platform development across our Flink platform, Lakehouse architecture and beyond, as our priorities evolve. What We're Looking For You have solid, hands-on experience in backend engineering and are comfortable jumping into an existing platform codebase and making meaningful contributions quickly. Specifically: Strong Java development skills, with experience in data platform or data engineering contexts Practical experience with at least one JVM-based data processing framework — Flink experience is a plus; Beam, Dataflow, or Spark also relevant Comfortable with SQL and cloud data analytics platforms, particularly BigQuery DevOps is part of your day-to-day: you work with cloud infrastructure, containerised applications, and are familiar with Kubernetes basics Experience working with data engineering pipelines in Scala and/or Python You write quality code and understand what it means to ship reliably in a production environment You can work autonomously in an ambiguous environment and move quickly without waiting to be directed Nice to Have Prior experience with large-scale pipeline migrations Familiarity with cost optimisation in cloud data processing workloads Job Posting Start Date:   2026-05-18 Job Posting End Date:   2026-11-27