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.
Designs and scales data platforms for analytics, product insights, and ML, leading architecture discussions, optimizing pipelines, and mentoring teams to improve data reliability and quality for a fintech company.
Senior Data Engineer building agentic systems for Fountain's data platform — designing agent-assisted dev workflows, evaluation layers, and self-service analytics using dbt, Dagster, ClickHouse Cloud, Python, and LLM/agent tooling.
Senior Data Engineer building and optimizing Snowflake data platforms, dbt-based ELT pipelines, and Reltio MDM integrations for a life sciences data company.
Designs and optimizes scalable, secure data platforms for clinical research analytics, AI/ML, and regulatory compliance using cloud-native tools and distributed systems.
Data Engineer building scalable ETL/ELT pipelines, data warehouses, and data lakes using Python, SQL, Apache Spark, Airflow, and cloud platforms (AWS/Azure/GCP) to power analytics and AI/ML products.
Senior Data Engineer owning end-to-end BigQuery/dbt/Python data pipelines for B2B marketing clients at a digital agency, integrating CRM, ABM, and attribution data to support measurement and scoring programs.
Builds and scales high-performance data pipelines and production-ready systems using Python, SQL, Databricks/PySpark, and modern data engineering practices.
Lead the design and delivery of real-time data pipelines and backend microservices for InMobi’s DSP, processing billions of bid-stream events daily to power bidding intelligence, audience targeting, and campaign analytics using Python/Java/Scala, Kafka/Flink, StarRocks, and Kubernetes.
Design and implement Agentic AI solutions, build data pipelines for RAG systems, and develop LLM-based applications using frameworks like LangGraph/LangChain for Thales Group's defense-sector R&D projects.
As a Senior Data Engineer, you will design, develop, and optimize ETL/ELT pipelines and data architectures for diverse international clients using Python, SQL, Snowflake, dbt, and orchestration tools like Airflow or Dagster. You will work within a remote-friendly, autonomous team environment focused on delivering high-quality data solutions across cloud platforms.
Mid-level Data Engineer building and maintaining data pipelines and models for automated regulatory reporting at PensionBee, using SQL, Python, and modern data warehouses (Snowflake, BigQuery, Redshift) with strong emphasis on ETL/ELT, data quality, and documentation.
Senior Data Engineer building and scaling ML-powered data products (OCR, transaction coding, RAG/agentic systems) on a commercial banking platform, using Python, Go, Snowflake, DBT, Kubernetes, and GCP.
Senior Data Engineer designing, building, and maintaining scalable data pipelines for shop performance analytics and retail media reporting, using SQL, dbt, BigQuery/Redshift, and orchestration tools like Dagster or Airflow.
Senior Data Engineer building scalable data pipelines, automated reporting, and revenue attribution models for ABOUT YOU's e-commerce and retail media platform, using SQL, dbt, BigQuery/Redshift, and orchestration tools like Airflow or Dagster.
The Data Engineering Lead will act as a technical authority for client engagements, balancing hands-on data pipeline development with commercial leadership and practice building. The role requires deep expertise in modern data stacks, AI engineering, and the ability to guide clients through complex data architecture and strategy.
Build and own the ML infrastructure that powers Merge Labs’ brain-computer interface research, including distributed training, experiment tracking, and deployment frameworks for molecular design and neuroscience models.
Build and maintain data ingestion and transformation pipelines using Dagster, dbt, and Snowflake, with Python and AWS, in a PR-driven workflow supporting analytics at an affordable housing company.
The Data Platform Engineer will build and maintain modern data platforms, focusing on pipelines, processing, orchestration, and infrastructure. The role involves working with open-source technologies like Python, SQL, Kubernetes, and various data processing engines to deliver scalable data solutions.
Senior Data Platform Engineer advises clients on modern data platforms, designs scalable architectures, and builds robust open-source solutions with Python/SQL, Spark, Kafka, and Kubernetes. Focuses on governance, performance, and hands-on engineering for enterprise clients.
Навыки: SQL, Python, Алгоритмы и структуры данных. Специализации: Инженер по данным. Чем предстоит заниматься: построением ETL-процессов: разработка и настройка конвейеров по сбору и трансформации данных из различных…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
