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Lead a team of data scientists and engineers to design, build, and maintain large-scale data pipelines and infrastructure for real-time pricing optimization, using Python, SQL, cloud platforms (GCP/AWS/Azure), Airflow (or Prefect/Dagster), Docker and related tools.
Hands-on R&D engineer building mission software, AI-enabled coding agents, and secure DevSecOps delivery pipelines for U.S. government and defense customers. Day-to-day spans Python backend services, LLM/agentic workflows, application modernization, and hardened CI/CD security controls. U.S. citizenship and clearance eligibility are required.
Senior Data Engineer building and operating a Snowflake-centered cloud data platform for an entertainment/motion-picture technology client (IMAX): developing ETL/ELT pipelines, data models, lineage documentation, and orchestration with SQL, Python, and tools like Airflow, Dagster, and dbt. Work-from-home or remote option is offered.
Are you ready to shape the future of fintech with cutting-edge technology and deep regional impact? Join us as a Data Engineer and help power our next-generation platform for multi-country cloud analytics and consumer…
Builds data pipelines and tools in Python/Django/React to make mineral exploration data searchable for geologists and AI models, embedding directly with exploration teams in the field.
Builds AI-driven data pipelines and tools for mineral exploration, embedding with geologists to solve ambiguous problems in geospatial data and field operations using Python, Django, React, and AWS.
Builds data pipelines and AI tools to make mineral exploration data searchable for geologists, using Python, Django, React, and AWS to improve discovery of copper and lithium deposits.
Senior Data Engineer on NCS's AI Central Forward Deployed Engineering team, building AI-ready data pipelines (ingestion, cleaning, batch/streaming) and RAG/vector search infrastructure for client engagements, especially in regulated sectors like healthcare and government. Core stack: Python, SQL, Airflow/Spark/Kafka, and vector databases such as pgvector and Pinecone.
A senior data analyst in Block’s Compliance team builds analytics and reports to quantify risks, guide regulatory strategy, and communicate findings to leaders and regulators using SQL, ETL, and visualization tools.
Senior Data Engineer at Matria builds and operates the data backbone of a high-impact digital health product: designing robust ETL/ELT pipelines, ensuring data quality, governance and LGPD compliance, and collaborating with engineering and AI teams to deliver trusted clinical data for ML and LLM systems. Core stack includes Python, SQL/NoSQL, cloud platforms, Airflow and dbt.
Site Reliability Engineer on IMC's Data Platform team in Sydney, running and improving the systems that ingest, store, and serve petabyte-scale trading data. Day to day: managing distributed systems and storage (HDFS, Kubernetes, Dremio), driving automation and CI/CD, and supporting traders and developers. Core stack: Linux, Docker/Kubernetes/Helm, Kafka, Spark, and cloud platforms.
Design and maintain data pipelines for marketing attribution, predictive models, and growth analytics in a healthcare SaaS platform.
As Moxie's second internal data hire, this Staff Data Engineer owns the data stack end to end: Prefect/Airbyte/Snowflake Openflow pipelines, the Snowflake warehouse, and the dbt/Omni modeling layer. Day to day they partner with Engineering and Finance, make published numbers defensible, and build SOPs, alerting, and cost/performance KPIs.
At Ericsson's RAN organization you'd build a greenfield, AI-powered data platform as a Systems Data Engineer — designing end-to-end data pipelines and event-driven workflows with Prefect and cloud services, while ensuring data quality, governance, and secure data handling from ingestion to analytics.
Data engineer at Ericsson building and operating the data layer of a new AI-powered RAN engineering platform: end-to-end, event-driven data pipelines, orchestration with Prefect, and data catalogue/metadata/lineage and governance. Core stack is Python, SQL, Bash, and AWS services (Lambda, ECS Fargate, Batch, Step Functions, Glue, Athena, EventBridge, S3).
Builds and maintains data pipelines for a real-time in-game store recommendation engine, sourcing external market signals and serving competitiveness scores via AWS and ClickHouse.
Senior Data Engineer at WeightWatchers builds and scales Python and Snowflake-based data pipelines and analytics infrastructure to support automated, self-service data workflows for a digital health company.
Builds and maintains production-grade AI solutions on Azure for Pentland Brands — intelligent agents, generative AI apps, and ML pipelines — while also handling BAU support for production APIs and the Azure platform (App Service, Azure SQL, Storage, SFTP). Core stack: Python, .NET/C#, SQL, LLMs/RAG, and agent frameworks like LangChain/LangGraph.
MetLife Legal Plans is hiring a Data Analytics Engineer for its Data Insights team to design data models, pipelines, and analytics solutions using DBT Cloud, AWS, Python, and SQL. The role partners with analysts and business stakeholders to enable self-service analytics and data-driven decision-making.
Dutch, a veterinary telemedicine company, seeks a hands-on Lead AI/Data Engineer in Vancouver to design and operate production AI agents and services while owning AI infrastructure (evaluations, prompt optimization, observability, cost management) and building data pipelines with Snowflake, dbt, Prefect, and event tracking via Segment/Amplitude.
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