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Data Engineer at Zeta Global turning commercial data partnerships into usable Data Cloud assets by building and automating AWS-based ingestion, transformation, and validation workflows. Hands-on work with S3, Athena, Glue, SQL, Python, Airflow, and AI-assisted tooling, based in Copenhagen with regular office commuting expected.
Data Engineer on tastytrade's Analytics team, owning data pipeline architecture and building scalable ELT pipelines with Snowflake, dbt, Airflow, Python, and AWS, plus Tableau reporting. Hybrid role, 3 days/week in the Chicago West Loop office.
Data Engineer on the Analytics team at tastytrade/tastylive in Chicago (hybrid, 3 days/week in office). You'll own data pipeline architecture, build ELT with dbt, Python, Airflow, and Snowflake, drive data quality and observability, and support reporting in Tableau.
Senior Data Engineer who designs and maintains data pipelines, ensures data quality, and builds secure data APIs and services supporting analytics on a modern data platform for international markets. Core stack: SQL, Python, Azure Data Factory, Databricks, Apache Airflow, and Prefect.
Senior Data Engineer at LeverX, an IT services company delivering client projects across healthcare, fintech, e-commerce, and more. The role centers on building scalable Snowflake pipelines and warehouse/lakehouse architectures using SQL, Snowpark (Python), and dbt, plus orchestration, CI/CD, security/governance, and cost optimization.
Senior Data Engineer designing scalable, secure data structures and ETL pipelines (Azure Data Factory, Databricks, Apache Airflow) for an international financial-sector client automating US tax processes. 100% remote from Warsaw, senior-level B2B contract paying 28,000–30,000 PLN net per month.
Contract Senior Data Engineer in Abu Dhabi (posted as Remote Global) building the Data Lakehouse foundation for a large-scale enterprise AI/procurement transformation: SAP S/4HANA and Ariba ingestion, vector pipelines for RAG, and governance on secure, often air-gapped on-prem infrastructure. Core stack: Python, SQL, Spark, Kafka, Airflow, Databricks, Weaviate.
At Nebius, an Amsterdam-headquartered AI cloud platform company (Nasdaq: NBIS), this Senior Data Engineer owns the design, delivery, and operation of large-scale data pipelines and platform components powering analytics, BI, and data products. Core tech: Python, SQL, workflow orchestration (Airflow/Prefect/Dagster), and large-scale data storage systems.
Senior Data Engineer at Polycea (Paris, on-site) who builds and maintains ETL/ELT pipelines, data models, APIs, and cloud or on-premise data platforms, plus monitoring. Core stack: Python, SQL, dbt, Airflow/Dagster, PostgreSQL/Snowflake, AWS/GCP/Azure, Docker/Kubernetes.
Owns the architecture of AbbVie's enterprise cloud data platform, leading in-house developers and directing a large offshore team in a regulated pharma environment. Day-to-day work spans Lakehouse/data-mesh architecture, data contracts and governance, and cloud big-data tooling like Iceberg, dbt, Airflow, and AWS EKS.
Principal engineer designing and shipping production-grade multi-agent AI systems on AWS, leading architecture across cloud, data, and AI/ML while mentoring teams and setting technical direction.
Robots and Pencils is hiring a Principal AI Architect to act as the senior technical authority on client engagements, defining architecture across cloud, data, and AI/ML systems, mentoring engineers, and owning high-stakes technical decisions. Core stack spans AWS/Azure/GCP, Kubernetes, Terraform, Snowflake/Kafka, and SageMaker/LLM tooling.
Build data pipelines and AI-driven clinical insight tools for oncology, collaborating with global teams to improve cancer care using Python, cloud platforms, and healthcare data standards.
Senior AI/ML Engineer at Darrow, a legal-tech startup, building agentic LLM-based extraction and inference systems that turn public data into structured legal-exposure signals, owning solutions from exploration through production. Core stack: Python, SQL/NoSQL, data pipelines, LLM tooling, and cloud (AWS, Docker, Kubernetes).
ML engineer on Pyaterochka's digital team builds classical ML models (churn, personalization, A/B testing) and LLM solutions (RAG pipelines, agents, contact-center automation) for a grocery retail business. Core stack: Python, SQL, LangChain/LlamaIndex/LangGraph, Docker, MLflow.
Senior Data Engineer to build and own Jump Labs' analytics platform from the ground up: designing a cost-effective data warehouse, ingestion/ELT pipelines, orchestration, and data-quality tooling over tens of millions of behavioral records, plus revenue/LTV/ROAS models and ML training datasets. Stack: MySQL/MongoDB, Python/Polars/Parquet, Metabase, Airflow/Dagster, AWS, Kubernetes.
Our team is at the forefront of applying Senior Data Engineer to interpret and process complex chemical data, specifically chromatograms and environmental testing results. We're seeking a skilled Senior Data…
Analytics Engineer at Fever (live entertainment platform) who bridges data engineering and business analytics: designing and maintaining SQL/DBT data models on Snowflake, contributing Python Airflow pipelines, ensuring data quality and governance, and enabling self-service BI for business squads like B2B, Marketing, CRM, and Product.
Staff-level full-stack engineer at a Berlin construction-tech startup building an applied-AI platform for construction back-office workflows: sets architecture, ships end-to-end LLM features (document ingestion, agentic chat, entity resolution), and mentors engineers. Stack: TypeScript/Fastify/Prisma, Python/Prefect, AWS, OpenAI/Gemini/Cohere.
