Remote Data Jobs • Docker

As the Senior Data Engineer on our team, you will take ownership of designing and scaling the systems and pipelines that power H1’s data platform. This role involves working cross-functionally with engineers, product managers, and stakeholders to deliver high-performance, reliable, and maintainable data solutions. Play a key role in shaping the future of our data infrastructure while mentoring others and driving best practices.

We are looking for a lead-level software engineer to lead the charge on a team of like-minded individuals responsible for developing the data architecture that powers our data collection process and analytics platform. If you have a passion for optimization, scaling, and integration challenges, this may be the role for you. You will work with product and engineering leaders to define data solutions that support customers’ business practices.

Design, develop, and maintain systems for the acquisition, storage, and retrieval of historical market data from multiple financial exchanges, brokers, and market data vendors. Build and optimize data storage solutions, ensuring they are scalable, high-performance, and capable of managing large volumes of time-series data; implement robust integrations with various market data providers, exchanges, and proprietary data sources.

As a Data Developer, you will integrate into the team and contribute to challenging and innovative projects, working with one of the largest datasets in the sector within a big data platform hosted on AWS, while ensuring the timeliness and quality of information for investment monitoring journeys.

We are looking for a talented Senior Software Engineer who is passionate about building products that customers love to use. You’ll work with truly remarkable colleagues on complex problems at enterprise scale, quality, and reliability. You’ll build a state-of-the-art time series data platform, RevDB, that powers the best-in-class enterprise product suite that’s loved by our customers.

Architect batch + stream pipelines (Airflow, Kafka, dbt) for diverse structured and unstructured marked data. Provide reusable SDKs in Python and Go for internal data producers. Implement and tune S3, column‑oriented and time‑series data storage for petabyte‑scale analytics; own partitioning, compression, TTL, versioning and cost optimisation. Develop internal libraries for schema management, data contracts, validation and lineage.

Join the Data Engineering team to design, build, and scale AI-driven features at Filigran. The mission involves transforming real-world security problems into intelligent product capabilities. Responsibilities include designing ML models, maintaining AI/ML pipelines, and collaborating with engineers to integrate into open-source platforms.

We're seeking a Bioinformatician with experience in training and applying deep learning models, especially in genomics, transcriptomics, spatial transcriptomics, and related fields. As a member of the Large Quantitative Model (LQM) team, you'll develop new computational tools to reshape drug discovery.

As ML Lead, you’ll drive the strategy, architecture, and execution of our ML initiatives - from recommendation systems to predictive analytics. You’ll have a chance to lead a small ML team (starting with hands-on work), define best practices, and build systems that directly impact the product and business outcomes.

As an ML Engineer, you’ll be part of a small, focused team building the foundation of our ML systems. You’ll work on impactful product features, collaborate with engineers and analysts, and have the freedom to experiment and learn. You will Develop and deploy ML models to power features like product recommendations, personalization, and demand forecasting.