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Data Engineer
Data Support Engineer at FanDuel keeping critical data pipelines and infrastructure healthy: providing on-call support, troubleshooting data quality and pipeline failures, and building batch and real-time pipelines. Core stack: SQL, Python, AWS/Databricks/Spark, Kafka, Airflow, and monitoring tools like Datadog.
Founding AI/ML Engineer — AI Broker
Founding (co-founder-level) AI/ML engineer for AI Broker, an AI-powered investing/brokerage platform in the San Francisco Bay Area. You'd build the LLM/agent-based core: recommendations, natural-language interfaces, decision support, and workflow automation. Role is equity-only (10%) initially; ~$140k–$180k (target ~$150k) applies only after funding.
Data Engineer
Builds and maintains production data pipelines on the Databricks platform — PySpark and Spark SQL transformations across bronze/silver/gold Delta Lake layers, dbt models, Workflows orchestration, and Unity Catalog governance — often for regulated client projects. On-site in Buenos Aires; advanced English is required.
IC3 - Data Engineer
Designs, builds, and maintains scalable data pipelines, ETL processes, and cloud data architectures (lakes, warehouses, streaming) for Spin, while mentoring junior engineers. Core stack is Python, SQL/NoSQL, Spark, Kafka, and AWS/GCP; requires 3-4 years of data engineering experience.
AI/ML Engineer
Woolpert is hiring a Cloud AI/ML Delivery Engineer on its CSIS team for client-facing project delivery: discovery, solution design, hands-on build, testing, and user training for AI/ML solutions on Google Cloud Platform (Gemini Enterprise, Vertex AI, BigQuery, TensorFlow). Hybrid role based from a US office; 8+ years consulting experience required.
Cleared AWS Modeling & Simulation Data Engineer (Washington, DC)
Are you ready to put your AWS expertise to work on cloud challenges that few engineers get the chance to tackle? Virtual Service Operations (VSO) is seeking an experienced AWS Modeling & Simulation Data Engineer to…
Software Engineer
Software Engineer building and maintaining District 4 Labs' in-house dark web/OSINT data repositories (the DARKSIDE platform), search applications, and APIs — parsing new deep/dark web datasets, developing query endpoints, and optimizing search and data infrastructure. Core tech: Python, Elasticsearch, AWS/Azure.
Senior Azure Data Engineer
Designs and builds scalable data ingestion and ELT/ETL pipelines using Azure Databricks and Apache Spark (Python, SQL, or Scala). Day-to-day work covers cluster configuration and tuning, data quality checks, CI/CD automation, monitoring/troubleshooting, and Databricks cost optimization while collaborating with client and offshore teams.
Senior Software Engineer, Feature Engineering Platform
Senior engineer on Wolt's new Feature Engineering Platform, building the APIs, SDKs, and integrations that serve as the front door to ML development — covering the full ML lifecycle from experimentation to feature serving. Core work spans backend systems, APIs, and distributed compute (e.g. Spark, Flink).
Software Engineer, Observability
Builds and maintains Vercel's observability tools to monitor application health, using JavaScript/TypeScript/Go and columnar databases like ClickHouse.
Member of Technical Staff, Finance Data
Senior data engineer leading the design and build of Vercel's Financial Data Platform — the pipelines and warehouse powering revenue reporting, consumption-based billing, forecasting, and SOX/SOC 2 compliance. Core stack: Kafka/streaming, ClickHouse, Tinybird, Snowflake, on cloud (AWS/GCP/Azure).
Data Integration Developer
Hybrid contract role (8+ months, possible extension) in Austin, TX building SAS/Python/R programs and dashboards that automate ingestion of electronic case reports (eICRs) into the TBIRDS tuberculosis registry, including testing, validation, and interoperability planning for public health data.
Staff Software Engineer - Front End
Staff Front End Engineer at Compass building a collaborative real estate transaction management platform (forms, eSign, compliance, commissions) using TypeScript, React, Node.js, and AWS.
Data Engineer
Senior Data Engineer at Virtusa (Hyderabad/Chennai/Bengaluru) building real-time and batch data pipelines for a Real-Time Finance Close and Value-Based Care platform, integrating claims, eligibility, GL, and actuarial data. Core stack: Python, PySpark, SQL, Snowflake, Databricks, and Kafka/Spark streaming.