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Build and maintain ETL pipelines, Azure data assets, and Power BI semantic models to power analytics and decision-making for a rail and structural division.
Designs and implements cloud-based solutions using Astronomer’s DataOps platform (Apache Airflow) for enterprise clients, bridging technical and business needs to scale data-driven workflows.
Build and maintain high-volume data pipelines, a Redshift warehouse, and a full-stack internal platform for mobile ad-tech, using Python, Java, SQL, and AWS.
Build and own a custom AWS environment for a fast-moving AI team deploying production systems in manufacturing plants, using Terraform, Kubernetes, and GitOps to enable rapid iteration and robust observability.
Lead a team of data engineers building scalable data infrastructure (lakes, warehouses, ETL) to power Crusoe’s AI and climate-aligned energy operations using Python, SQL, Airflow, BigQuery, and cloud platforms.
Build and maintain a self-service data platform for a biology-focused AI startup, enabling researchers to securely access and process large multimodal datasets on AWS using modern storage formats and infrastructure-as-code.
Build and maintain a self-service data platform for a biology-focused AI foundation model, enabling researchers to securely access and process large multimodal datasets on AWS using modern storage formats and infrastructure-as-code.
Design and operate AWS-based infrastructure for a genomics data platform, scaling pipelines, storage, and ML services while improving observability and cost efficiency.
Principal Data Engineer designs and scales enterprise-grade data infrastructure and real-time pipelines to power AI-driven analytics and autonomous agents at Salesforce.
Build and maintain software systems that ingest, process, and integrate experimental data for a generative biology company, using Python, cloud-native tools, and APIs to connect wet lab workflows to data platforms.
Build and maintain AI-ready data pipelines and platforms on Databricks to power real-time analytics and LLM integrations for a global multifamily real estate operator.
Data Analytics Engineer Department: Strategy and Operations Location: San Francisco Employment Type: FullTime About Broccoli At Broccoli, we're building AI teammates for the people who build and maintain our world.…
Machine Learning Engineer, Infra, AI for Drug Discovery Location: South San Francisco, New York City Time Type: Full time Job Description A healthier future. It’s what drives us to innovate. To continuously advance…
Senior Data Engineer Location: CT - Hartford, GA - Atlanta, MN - St. Paul, MD - Hunt Valley Remote Type: Hybrid Time Type: Full time Job Description Who Are We? Taking care of our customers, our communities and each…
Senior Machine Learning Ops Engineer Team: IT Location: US Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner…
Platform Engineer - Self-Service Data Platform Team: IT Location: France Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps.…
Sr. Data Engineer (Snowflake) Team: Data Location: Santiago, Latin America, Mexico City Commitment: Full-Time Permanent Workplace Type: remote ABOUT APPLY APPLY is the Agentic Customer Experience (ACx) partner for the…
Analytics Solutions Manager- Associate Location: Bengaluru, Karnataka, India If you are a strategic thinker passionate about driving solutions in analytics, you have found the right team. As an Analytics Solutions…
Build and deploy deep learning models to predict ad performance for streaming TV campaigns, using Python and PyTorch to optimize advertiser outcomes in real time.
Leads a team of data engineers to build and optimize ETL/ELT pipelines and analytics systems that power Coupang’s search and recommendation models, using Python, SQL, Spark, and Airflow at massive scale.
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