Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Job Family : Data Science & Analysis Travel Required : Up to 10% Clearance Required : Ability to Obtain Public Trust What You Will Do: Partner with stakeholders to define and deliver AI, machine learning, and…
Data Engineer II at Jack Henry designs, builds, and supports batch and streaming data pipelines and enterprise data integrations powering banking, payments, analytics, and ML. Core stack: SQL, C#, Python, PowerShell, Kafka/CDC, SSIS modernization, CI/CD, and Docker. Remote within ~70 miles of seven US office hubs.
About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering…
Maintain and evolve Verifone’s global payment data platform, focusing on Kafka streaming, databases, cloud infrastructure, and DevOps automation to power analytics and AI initiatives.
Senior data engineer building the source-to-Silver ingestion layer of a data and AI platform transformation for a regulated financial institution. Day to day: designing and owning 30+ Python-based source connectors (file, SQL, API) on an AWS medallion architecture with Iceberg Bronze/Silver layers, bad-record quarantine, and pipeline monitoring.
About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps…
Mid-level data engineer who owns data pipelines end to end on AWS — ingestion, CDC, transformation, orchestration, monitoring, and on-call support — writing production Python and advanced SQL. Builds curated, well-modeled datasets in S3 data lakes and Redshift for analytics and AI consumers. On-site in Mandaluyong, Philippines.
Builds pipelines and tooling to onboard raw datasets into Acrisure's enterprise data platform, which is migrating to Palantir Foundry from a Google/Microsoft hybrid cloud stack. Day-to-day is hands-on data engineering with SQL, Python/Scala/Java, Spark, dbt, and Airflow, onsite in Austin 4 days a week.
Build resilient data pipelines and self-serve tooling for a crypto market maker, ingesting market, trading, and portfolio data to power desks, risk, finance, and AI agents.
Staff Product Manager who owns the multi-year strategy, roadmap, and go-to-market for DigitalOcean's Data and AI platform — managed databases, vector databases, knowledge bases, and Apache Iceberg data lakes. Day to day: market and pricing analysis, cross-functional delivery with Engineering and Infrastructure, and tracking utilization and reliability metrics.
Staff engineer leading Reddit's Ingestion Platform: designing and operating distributed data-movement services for streaming and batch workloads (Kafka, BigQuery, S3/GCS, Apache Iceberg, Flink) on Kubernetes, building self-service APIs and connectors, and migrating legacy ingestion systems.
Software engineer on Reddit's Data Movement team who builds and maintains the large-scale data ingestion platform powering batch and streaming ML/BI workloads (100B+ events/day). Core stack includes Spark, Flink, Airflow, Kubernetes, and cloud-based infrastructure.
Platform engineer on the Batch Data Tools team within Global Intelligence Platforms, building and evolving Mobius — Just Eat Takeaway's Kubernetes-native, declarative analytics/data platform for batch and streaming pipelines. Day-to-day work centers on Python/Java/Scala, Spark, DBT, Kubernetes, Apache Iceberg, and AWS data services (S3, Glue, DynamoDB, SNS/SQS, Athena), with hybrid 3 days/week on
Develops and maintains cloud-native backend systems for enterprise data protection, focusing on backup, recovery, and cloud platforms like AWS, GCP, and Azure.
Lead ML engineer owning the ML/R&D direction for Magnit's retail price-management system: develops demand-forecasting and price-elasticity models, recommends regular prices at SKU × store level, and drives methodology, research roadmap, design/code reviews and mentoring, productionizing models with Python, LightGBM, Airflow, dbt, Trino and ClickHouse.
We are knowmad mood! Somos una compañía líder en transformación digital, en constante evolución y a la vanguardia de la tecnología. Nacimos para provocar un cambio real a través de la innovación y el desarrollo…
Data engineer designing, building, and maintaining scalable data pipelines and platform solutions on AWS and hybrid/on-premises environments. Day-to-day work centers on Python, SQL, PySpark, Airflow, dbt, and AWS services (Glue, EMR, Redshift, S3, Bedrock), plus CI/CD, IaC, and observability.
Design and govern a healthcare-focused enterprise data lakehouse, building semantic layers, ontologies, and AI-native data architectures while ensuring HIPAA/FHIR compliance and scalable cloud-native pipelines.
Senior Data Engineer who designs, builds, and operates AWS-based data platforms and ETL/ELT pipelines (Python, Scala, SQL on Spark and Flink) powering analytics, reporting, and data products at Enity. Joins a small team with end-to-end ownership of the data lifecycle and real influence over architecture.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
