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Senior data engineer at hiberus designing and building batch, streaming, and near-real-time pipelines plus lakehouse/data warehouse platforms on cloud (AWS, Azure, or GCP), centered on Snowflake, advanced SQL, and Python, while partnering with BI, analytics, and business teams.
Hands-on Technical Director building data platforms and AI infrastructure (LLMs, RAG) using Python, AWS, and vector databases.
Build and maintain ML infrastructure for autonomous military systems, including data management, model training/orchestration, and edge deployment pipelines using Python, PyTorch, and Kubernetes.
Hands-on Data Center Technician at CoreWeave's Lynnwood, WA site who keeps AI cloud infrastructure reliable: diagnosing and repairing server and network hardware, assembling and installing equipment, writing maintenance scripts, and keeping documentation and inventory current, with rotating on-call in a 24/7 environment. Key tech: Linux, Python/Bash, Cisco IOS/Juniper JunOS.
Self Financial, a fintech helping Americans build credit and savings, is hiring a Staff Data Analyst for its Product and Customer Analytics team in Austin. The role owns metrics and analytical systems for the Credit Builder Account and Credit Card portfolio, combining SQL, BI dashboards, dbt semantic layers, and AI tooling (Claude) to drive customer lifecycle growth.
Designs, automates, and supports scalable, secure cloud data platforms across AWS, Azure, and GCP — building pipelines with Python, Airflow/Astro, and Databricks and provisioning with Terraform, Kubernetes, and CI/CD (Harness/GitOps). Long-term work-from-home with a permanent night-shift schedule.
A senior solution architect role focused on designing and building cloud-native data platforms on Google Cloud Platform. Day to day involves architecting ETL/ELT pipelines using BigQuery, Dataflow, Cloud Composer (Airflow), Dataproc, Pub/Sub, and Vertex AI, with dbt, Python, and SQL for data transformations.
Senior DevOps engineer building and operating Kubernetes-based platforms, streaming systems, and observability stacks that power DoubleVerify's real-time ad-verification infrastructure at massive scale.
Senior Data Engineer on HelloFresh's Growth/Customer Value Optimization team in Toronto (hybrid, min. 2 days/week in office), owning end-to-end data pipelines that power pricing, personalization, and CLV forecasting. Core stack: Python, SQL, PySpark, AWS (EMR, Glue, S3), Kafka, Kubernetes, Airflow, and Databricks, with AI tools like Claude Code as productivity multipliers.
Location: New York City (Hybrid, 3 days in office, TU-TH) Who We Are: DV is the leader in digital performance solutions, helping our advertiser and agency partners Verify the quality of their digital campaigns,…
Build and maintain a contract-driven data platform that ingests, transforms, and serves billions of ad-performance records daily using Snowflake, dbt, Airflow, and Looker for DV’s digital advertising analytics products.
Data Analyst supporting U.S. Government mission-critical operations in a secure, controlled data environment. Day to day involves advanced SQL (Amazon Redshift, Oracle), ETL pipeline maintenance and automation with Python/Bash/PowerShell, data validation, and building automated reports and dashboards for leadership decision-making.
Senior AI engineer/data scientist owning the technical vision for an AI copilot that answers business questions — designing RAG, LLM and multi-step agent pipelines, leading and mentoring a team of MLEs/data scientists, and industrializing AI pipelines. Core stack: Python, PyTorch, Hugging Face, LangChain/LangGraph, vector DBs.
Data Engineering Manager at Brother's European HQ in Roissy-en-France, leading and coaching a distributed team of data engineers while staying hands-on with data pipelines. Core stack: Snowflake, Matillion, Snowpipe, with SQL and Python.
Junior Data & AI Engineer consultant at Wavestone in Nanterre, combining engineering and advisory work: building data pipelines and AI agents, training/evaluating ML and LLM models (RAG, fine-tuning), and deploying Data & AI platforms (Lakehouse, MLOps) for large clients. Core stack: Python, cloud (Azure/AWS/GCP), ML/GenAI.
Senior Data Engineer who builds and runs the company's data backbone: the data lake and BI platform on Databricks, Airflow pipelines for metering and energy data, and Postgres/time-series databases on AWS, with monitoring, alerting, and clean data delivered as a service to all squads. Fluent German and energy-sector experience are a plus.
Senior data engineer who owns the Databricks-based data lake, builds Airflow pipelines for metrics and energy data, and optimizes the PostgreSQL/TimescaleDB landscape. Also responsible for monitoring, alerting and incident response, delivering clean data as a service and working closely with data science.
Founding data engineer at Ooak Data, a YC-backed startup in Paris building large-scale datasets of real-world business workflows for AI labs. You'd design and scale ingestion, anonymization, and enrichment pipelines using Python, SQL, orchestration tools (Airflow/Dagster/dbt), warehouses (BigQuery/Snowflake), and streaming (Kafka), while shaping the tech team's data culture.
A data engineering lead role at Publicis Sapient in Paris: designing, building, and testing ETL/ELT pipelines and scalable data platforms while leading a high-performance engineering team. Core tech spans cloud platforms (Azure/AWS/GCP), big data tools (Spark, Kafka, Databricks, Snowflake), Python/Java, and SQL.
Data Engineer at SII Nord in Lille, joining a client team to build high-impact decision-support models and scalable ETL/ELT pipelines that turn data into supply-chain insights. Core stack: Python, SQL, DBT, Spark, DataBricks, cloud platforms (AWS/GCP/Azure), Git and CI/CD.
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