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Data Engineer
Designs and builds scalable data pipelines on AWS to extract insights for a government client, using Python, PySpark, and cloud-native tools while maintaining strict security compliance.
Data Engineer (GovCon | Public Trust Eligibility)
Design and maintain scalable data pipelines and ETL workflows using Python, PySpark, Databricks, and AWS services to build secure, compliant data platforms for federal clients.
SL Transformation-Senior Data Engineer
Design, develop, and maintain scalable data pipelines and platforms (ETL/ELT, data warehouses) using cloud tech and Python/Spark to support analytics and business transformation initiatives.
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.
Senior Software Engineer - Data Acquisition Team
Senior backend engineer building and operating large-scale data pipelines that ingest, validate, and transform raw data into high-quality datasets for ZoomInfo’s B2B intelligence platform.
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.
Sr. Data Engineer
Design and implement AI features end-to-end, building scalable data pipelines and GenAI/agentic systems in Python/SQL across cloud platforms while enforcing security and MLOps best practices.
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.
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.