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.
About the Role IsI Enterprises is seeking a Data Engineer to join our new AI & Automation team. You will build the data foundation that powers AI-driven automation across our Security Control, Managed Services, and…
Job Description: Quantitative Developer – Risk Technology Jain Global, LLC Jain Global is an innovative multi-strategy investment firm founded in July 2024 by Bobby Jain with over 400 employees operating from offices…
Als Medior Data Engineer bouw je mee aan schaalbare en toekomstbestendige data platformen, met Databricks als kern van de oplossing. Je werkt aan concrete klantvraagstukken, ontwikkelt data pipelines, implementeert…
Data Engineer 4 (Manager, IC) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At…
Senior Analytics Engineer at Rabot Energy (dynamic green electricity tariffs) in Berlin: owns the data modeling layer between raw data and decisions, building tested, documented dbt models on BigQuery, with CI/CD, cost control, and Metabase self-service for analysts and business teams.
Builds and maintains cloud data pipelines and infrastructure powering Centro's analytics, ML, and GenAI products, using SQL, Python, Dagster, dbt, Clickhouse, Redshift, and AWS, while integrating LLM capabilities (AWS Bedrock, LangChain) into engineering and data workflows.
Builds and maintains Meeru AI's grounded, auditable AI layer that informs finance and accounting outputs, owning end-to-end ML components from data modeling through production-grade pipelines. Offshore, remote-ready role with close daily time-zone overlap with US partners.
Senior Data Engineer at Mainstay, an AI-native market intelligence platform for the single-family rental industry (spun out of Opendoor). You'll build customer-facing data products, architect residential real estate data models, and run batch pipelines using SQL, Python/Spark, cloud data warehouses, and orchestration tooling — remotely.
Hands-on technical leader who co-designs and builds Complex's data platform, AI, and agentic infrastructure — data pipelines, warehouse models, and reusable services with SQL, Python, Snowflake, and AWS, plus LLM/RAG foundations — while mentoring engineers. On-site in New York or Los Angeles.
Data Engineer at Lawrence Livermore National Laboratory building and modernizing data systems that make mission-critical scientific and engineering data discoverable, reusable, and analyzable. Day-to-day work spans automated data pipelines, schema/metadata design, data quality and lineage, REST APIs, and DataOps practices in Python, supporting national security (Strategic Deterrence) programs.
Senior Data Engineer on eDreams' Performance Marketing Technology team in Barcelona, designing and running high-throughput marketing data pipelines and products on Google Cloud (BigQuery, dbt, Dagster, Vertex AI) with Python/SQL and online-marketing APIs, powering AI-driven growth strategies in a hybrid work model.
Deploys and operates open-source data platforms in secure DoD environments, integrating legacy systems and ensuring compliance with government security standards.
Builds and maintains production-grade data pipelines in Python and SQL, automating financial and supply-chain metrics for Redwood’s battery-recycling operations.
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.
As a VeroTech consultant, you design, build and optimize data pipelines, architectures, databases and CI/CD for engineering and analytics projects across client production environments. Core stack: Python, SQL, Spark, Docker, with Jenkins, Jupyter, Superset and Dagster; fluent French and English required.
Leads the design and operation of a cloud-native data platform for a healthcare analytics company, focusing on scalable infrastructure, data pipelines, and AI/ML enablement.
Principal Data Engineer builds and leads a cloud-native data platform for a healthcare analytics company, designing scalable pipelines, governance frameworks, and AI/ML integrations while mentoring teams.
Data engineer (middle) on Diia's AICoE team building scalable ETL pipelines and data warehouses that feed Ukrainian-language AI/ML work, including the National Ukrainian language corpus and an LLM. Core stack: Python/Scala, SQL, Airflow/Dagster, cloud warehouses (Snowflake/BigQuery/Redshift), Kubernetes/AWS/Azure/GCP, Grafana.
Senior Data Engineer (B2B contractor) at payments company myPOS: design, build, and operate scalable data pipelines and infrastructure, deliver analysis-ready datasets with analysts, ensure data quality/governance, and build MLOps automation. Core stack: Python, SQL, orchestration (Airflow/Dagster/Databricks), cloud with strong GCP preference.
Analytics Engineer on Workato's Product Management team in Singapore, owning end-to-end delivery of mission-critical data products: designing and scaling dbt data models, ensuring data quality and reliability, and turning product usage data into insights for stakeholders. Core stack: SQL, dbt, cloud data warehouses (Snowflake/BigQuery), Python, and orchestrators like Airflow/Dagster.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
