New offer - be the first one to apply!

July 21, 2026

Software Engineer (C++/C#)

Senior • On-site

San Francisco, CA

The financial industry is growing at a record pace, but data providers are still limited by cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento provides real-time and historical data across futures, options, and equities through a unified API. The platform combines high performance and reliability with a streamlined developer experience.

We're looking for a midlevel or senior individual contributor to join the core engineering team. You'll be responsible for implementing and maintaining the C# client library and working on performance-sensitive components of the codebase.

Responsibilities

  • Own and maintain the C# client library, ensuring it is robust, well-tested, and easy for external users to integrate with.
  • Design, develop, and maintain high-performance server applications in C++.
  • Write message parsers and feed handlers for direct market data feeds from trading venues.
  • Optimize the existing codebase for high throughput and low latency.
  • Implement tools and libraries for petabyte-scale data processing and analysis.
  • Collaborate with the systems team to implement best practices for build, deployment, and CI/CD.
  • Implement monitoring and improve application uptime.
  • Ensure smooth feature rollouts and updates.

Preferred background

  • 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup.
  • Strong proficiency in both C++ and C#.
  • Experience with Java is a plus.
  • Experience designing APIs with a focus on intuitive, developer-friendly interfaces.
  • Familiarity with open source best practices, including release management, versioning, changelogs, issue triage, and backwards compatibility.
  • Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernels, and compilers.
  • Experience working with multiprocess environments.
  • Comfortable with lldb/gdb.
  • Good communication skills and work ethic for a remote workplace.
  • Interest in low-level optimization and performance engineering.
  • Interest in financial data or algorithmic trading.

Databento, Inc. provides equal employment opportunities to all employees and applicants in compliance with applicable laws.

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Krakow, Poland

15,025 - 22,533 PLN/mo

🏢 Summary: The offer is for an experienced Software & AI Engineer to develop enterprise-scale full-stack applications using Python and ReactJS, with a strong focus on AI/ML solutions and cloud-native development on GCP. The role involves building AI-powered data management systems, implementing machine learning capabilities, and contributing to regulatory-compliant, production-grade platforms. You will work on global, multi-workstream projects within a cloud and data-driven environment. 🗂️ Requirements: 3+ years of experience in enterprise software development, Proficiency in Python and backend frameworks (Flask, FastAPI, Django), Experience with ReactJS and modern JavaScript or TypeScript, Experience deploying enterprise solutions on GCP (Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, Vertex AI), Hands-on experience implementing AI/ML solutions, Understanding of microservices architecture and RESTful APIs, Experience with SQL and NoSQL databases, Knowledge of software design principles and cloud-native best practices, Experience with Agile and DevOps practices, Ability to write high-quality code and automated tests 📃 Skills: Python, Flask, FastAPI, Django, ReactJS, JavaScript, TypeScript, GCP, CloudRun, GKE, BigQuery, CloudStorage, PubSub, VertexAI, AI, ML, SQL, NoSQL, Microservices, REST, DevOps, Agile 🏢 Description: Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. Your career opportunity We are looking for an experienced Software & AI Engineer to join our CTO Data Tech team. In this role, you will be contributing toward full-stack software development with Python and ReactJS stack. Additionally, you will be exposed to Cloud Engineering within GCP and AI/ML implementation. You will be developing corporate wide applications within the area of Data Management technologies. What you’ll do Contribute toward design and development of enterprise-scale full-stack applications using Python (backend) and React JS (frontend). Contribute toward AI-powered data management solutions on GCP. Implement AI/ML capabilities to enhance data controls, quality checks, and risk detection in production environments. Contribute toward building best practices for cloud-native applications on GCP. Take part in technical delivery of complex, multi-workstream projects supporting regulatory compliance (BCBS 239, IRR, etc.). Work within a multi-national, global delivery team. What you need to have to succeed in this role 3+ years of relevant technical experience in enterprise software development. Write good quality code and automated Test cases. Proficiency in Python for backend development (Flask, FastAPI, Django) and experience in React JS with modern JavaScript/TypeScript for frontend. Proven experience deploying enterprise solutions on GCP including services like Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, and Vertex AI. Good hands-on experience implementing AI/ML solutions. Understanding of microservices architecture, RESTful APIs, event-driven systems, and experience with both SQL and NoSQL databases. Understanding of software design principles, design patterns, enterprise architecture, and cloud-native application best practices. Experience with agile methodologies and DevOps practices. What we offer The pay range for this role is 15025 PLN - 22533 PLN (monthly, gross). Variable pay is discretionary, but influenced by Group performance, business/function performance and individual performance. We offer a comprehensive and competitive package of benefits covering healthcare, family friendly leaves, pension and life assurance, as well as many other benefits to support your wellbeing. Additional bonuses for recognition awards Multisport card Private medical care Life insurance One-time reimbursement of home office set-up (up to 800 PLN). Cafeteria platform Employee assistance program Additional contributions to PPK scheme Corporate parties & events CSR initiatives Nursery discounts Financial support with trainings and education Social fund Flexible working hours Free parking If your CV meets our criteria, you should expect the following steps in the recruitment process: Online behavioural test Telephone screen Interview with the hiring manager Being open to different points of view is important for our business and the communities we serve. At HSBC, we’re dedicated to creating diverse and inclusive workplaces. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. If you have a need that requires accommodations or changes during the recruitment process, please let us know. We are looking to hire as soon as possible so don’t wait and apply now! You'll achieve more when you join HSBC.

Technology

Datumo

Data Engineer (GCP)

Mid

Remote

Warsaw, Poland

16,000 - 28,000 PLN

🏢 Summary: The offer is for a Data Engineer responsible for designing and developing scalable data platforms and pipelines in cloud environments, primarily on Google Cloud Platform. The role focuses on big data processing, data modeling, and building high-quality data solutions using modern distributed frameworks. The position involves working on advanced cloud-based analytics and data warehousing projects. 🗂️ Requirements: 3-4 years commercial programming experience, Experience with Google Cloud Platform, Strong knowledge of Python, Strong knowledge of SQL, Proficiency in JVM language (Scala or Java or Kotlin), Experience with BigQuery, Understanding of big data processing and storage, Experience with Apache Spark or similar framework, Experience in data modeling, Experience with CI/CD pipelines, Experience with automated testing, Experience with code review practices 📃 Skills: Python, SQL, Scala, Java, Kotlin, GCP, BigQuery, Spark, JVM, BigData, DataModeling, CICD, Testing, CodeReview 🏢 Description: We’re looking for a Data Engineer ready to push boundaries and grow with us. Datumo specializes in providing Data Engineering and Cloud Computing consulting services to clients from all over the world, primarily in Western Europe, Poland and the USA. Core industries we support include e-commerce 🛒, telecommunications 📡 and life sciences 🧬. Our team consists of exceptional people whose commitment allows us to conduct highly demanding projects. Our team members tend to stick around for more than 3 years, and when a project wraps up, we don't let them go - we embark on a journey to discover exciting new challenges for them. It's not just a workplace; it's a community that grows together! Must-have: ✅ at least 3-4 years of commercial experience in programming, ✅ proven record with a cloud provider - Google Cloud Platform, ✅ strong knowledge of Python, SQL and JVM languages (Scala or Java or Kotlin), ✅ experience in BigQuery data warehousing solution, ✅ in-depth understanding of big data aspects like data storage, modeling , processing , scheduling etc., ✅ understanding of Apache Spark (or similar distributed data processing framework), ✅ data modeling and data storage experience, ✅ ensuring solution quality through automatic tests, CI/CD and code review, ✅ proven collaboration with businesses, ✅ English proficiency at min. B2 level, proficient in Polish. Nice to have: 🌟 knowledge of dbt, Docker and Kubernetes, Apache Kafka, 🌟 familiarity with Apache Airflow or similar pipeline orchestrator, 🌟 another JVM (Java/Scala/Kotlin) programming language, 🌟 experience in Machine Learning projects, 🌟 familiarity with one of BI tools: Power BI/Looker/Tableau, 🌟 willingness to share knowledge (conferences, articles, open-source projects). What’s on offer: 🔥 100% remote work with workation opportunity (you need to be based in Poland), 🔥 20 free days, 🔥 onboarding with a dedicated mentor, 🔥 project switching possible after a certain period, 🔥 individual budget for training and conferences, 🔥 benefits: Medicover Private Medical Care , co-financing of the Medicover Sport card, 🔥 opportunity to learn English with a native speaker, 🔥 regular company trips and informal get-togethers. Development opportunities in Datumo: 🚀 participation in industry conferences, 🚀 establishing Datumo's online brand presence, 🚀 support in obtaining certifications (e.g. GCP, Azure, Snowflake), 🚀 involvement in internal initiatives, like building technological roadmaps, 🚀 training budget, 🚀 access to internal technological training repositories. Discover our exemplary project: 🔌 IoT data ingestion to cloud The project integrates data from edge devices into the cloud using Azure services. The platform supports data streaming via either the IoT Edge environment with Java or Python modules, or direct connection using Kafka protocol to Event Hubs. It also facilitates batch data transmission to ADLS. Data transformation from raw telemetry to structured tables is done through Spark jobs in Databricks or data connections and update policies in Azure Data Explorer. ☁️ Petabyte-scale data platform migration to Google Cloud The goal of the project is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is on rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client’s requirements and automate it using Cloud Composer. 📈 Data analytics platform for investing company The project centers on developing and overseeing a data platform for an asset management company focused on ESG investing. Databricks is the central component. The platform, built on Azure cloud, integrates various Azure services for diverse functionalities. The primary task involves implementing and extending complex ETL processes that enrich investment data, using Spark jobs in Scala. Integrations with external data providers, as well as solutions for improving data quality and optimizing cloud resources, have been implemented. 🛒 Realtime Consumer Data Platform The initiative involves constructing a consumer data platform (CDP) for a major Polish retail company. Datumo actively participates from the project’s start, contributing to planning the platform’s architecture. The CDP is built on Google Cloud Platform (GCP), utilizing services like Pub/Sub, Dataflow and BigQuery. Open-source tools, including a Kubernetes cluster with Apache Kafka, Apache Airflow and Apache Flink, are used to meet specific requirements. This combination offers significant possibilities for the platform. Recruitment process: 1️⃣Tech quiz - 15 minutes 2️⃣ Soft skills interview - 30 minutes 3️⃣ Technical interview - 60 minutes Find out more by visiting our website - https://www.datumo.io If you like what we do and you dream about creating this world with us - don’t wait, apply now!