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Principal Data Engineer (Databricks)
Principal Data Engineer designing and building scalable Databricks data pipelines and Lakehouse architectures for a global tech consultancy, using Python, Spark, SQL, Delta Lake, and orchestration tools.
Senior Data Engineer
Senior Data Engineer builds and optimizes scalable GCP-based data pipelines and models to power real-time AI/ML workloads for a global sports media and betting platform.
Treasury Data Engineer
Data Engineer building and maintaining data pipelines, APIs, and analytical tools that power real-time treasury analytics (margin, collateral, cash) for a quantitative investment manager. Core tech: SQL, Python, Airflow, cloud platforms.
Senior Data Engineer
Design and build scalable data pipelines and AI solutions for enterprise clients using cloud platforms like Snowflake, AWS, and Databricks.
Data Engineer
Designs and maintains data infrastructure for federal government clients, building scalable pipelines and integrating ML models using Python, AWS, and tools like Apache Airflow and Spark.
Senior ML/AI Modeler, Risk Automation Machine Learning
Senior ML/AI Modeler on Block's Risk Automation ML team, using agentic/generative AI to automate risk and compliance. Works with payment transactions, LLMs, PyTorch, Snowflake, and cloud services (GCP/AWS) to build and deploy ML models at scale.
Principal Data Engineer
Principal Data Engineer builds and leads a cloud-native data platform for a healthcare analytics company, designing scalable pipelines, governance frameworks, and AI/ML integrations while mentoring teams.
DevOps Engineer
Build and own CI/CD, data pipelines, and cloud infrastructure for a robotics AI research team using AWS, Kubernetes, and GitHub Actions to enable reliable, reproducible research deployments.
Sr. Analytics Engineer
A Senior Analytics Engineer at Backblaze designs and maintains dbt models to build a governed semantic layer of certified business and financial metrics, ensuring data trust, quality, and lineage across the company, using Snowflake and modern engineering practices.
Product Analyst (Top Talent Pipeline)
Product Analyst in a talent pipeline at Muse Group, focused on running experiments, building dashboards, and analyzing data with SQL, Python/R, and BI tools to drive product decisions.
AI Data Engineer
Senior AI Data Engineer building ETL pipelines, data warehouses, and AI/ML infrastructure using Python, SQL, Spark, cloud platforms (AWS/Azure/GCP), and Generative AI technologies like LLMs, RAG, and vector databases.
Engineering Manager, Data Platform
Lead a team building and operating FloQast’s lakehouse stack (Iceberg, Spark, Kafka, Trino) while coding half the time and managing engineers the other half.
Head of Data Engineering
Lead data engineering at a top fintech platform, building scalable ETL pipelines and AI-powered solutions to deliver trusted financial data to millions of users.
Senior Data Engineer (CAN)
Senior Data Engineer building greenfield ML data infrastructure—lakehouse architecture, training pipelines, feature stores, and pipeline observability—on GCP using Python, Spark, Kafka, and Airflow for a healthtech SaaS platform.
Data & AI/ML Engineering
Design and maintain scalable data pipelines, ML model-serving infrastructure, and AI-enabling data systems (feature stores, vector DBs) for a healthcare-focused Public Benefit Corporation using Python, SQL, and cloud platforms.
Senior Data Engineer - Healthcare Data & Audience Applications
Build and maintain healthcare-focused data pipelines and models in Snowflake and AWS, turning provider, claims, and audience data into trusted marketing insights using Python, Airflow, and EMR.