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Senior Data Engineer
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
GCP Data Engineer
Designs and builds GCP-based data pipelines, warehouses, and storage systems using BigQuery, Airflow, and Python; troubleshoots performance issues and mentors junior engineers.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines for a global wealth management firm, using Snowflake, dbt, Prefect, and Workato to deliver analytics-ready financial data for executives.
Data Engineer - Global Pipelines & Cloud Innovation (Hybrid)
Builds and optimizes global data pipelines on GCP, using BigQuery, Dataflow, dbt, and Airflow to deliver clean data for analytics and reporting.
Data Engineer
Build and maintain the data pipelines and warehouse that power a quantitative investment firm’s ML-driven equity strategy, using Python, Snowflake, Airflow, DBT, and AWS.
Data Engineer
Build and maintain data pipelines, warehouses, and governance for an insurance-focused platform using Python, Databricks/Snowflake, and cloud services.
Data Engineer: Snowpark & DBT Pipelines | Hybrid
Designs and maintains Snowpark and DBT-based data pipelines for financial projects, implements CI/CD workflows, and supports data processing jobs in a hybrid setup.
Data Engineer
Builds and maintains a modern cloud data platform for a large financial institution using GCP, BigQuery, dbt, and Airflow.
Senior Data Engineer: Snowflake Pipelines for Wealth
Builds and optimizes Snowflake-based data pipelines that feed a wealth-management analytics platform, using SQL and dbt to integrate financial data sources.
Data Engineer
Design and build scalable data pipelines and warehouses in cloud/on-prem, using SQL, Python, Spark and GCP to deliver analytics-ready data products.
Data Engineer
Builds and maintains data pipelines, ETL/ELT workflows, and a data warehouse to feed internal apps and analytics for a Polish energy-trading company.
Data Engineer
Design and build cloud and on-premise data platforms, ETL pipelines, and warehouses using SQL, Python, BigQuery, DBT, Airflow, and Trino to support analytics and reporting.
Data Engineer – Pipelines, Modeling & Analytics
Build and maintain data pipelines and storage, model data, and implement ETL processes using PostgreSQL, Airflow, DBT, and AWS to support analytics and decision-making.
Senior Data Engineer: Scalable Pipelines & Data Quality
Build and optimize scalable data pipelines and models for a gaming-focused HR platform, ensuring data quality and governance using Python, DBT, Airflow, PySpark, and AWS.
Data Engineer
Build and maintain data pipelines and APIs for a healthcare jobs marketplace, using Python, SQL, AWS, and React to power analytics and ML models.
Data Engineer
Build and maintain data pipelines, ETL processes, and data models for a global trading platform using Python, PostgreSQL, Airflow, and AWS.
Senior Data Engineer - AI-Driven Data Pipelines (Remote)
Build and maintain AI-driven data pipelines using Python, SQL, dbt, and GCP tools like BigQuery and Cloud Composer for scalable analytics and ML workflows.
Data Engineer: Scale Data Pipelines for Global Campaigns
Build and optimize ETL/ELT pipelines for ad-tech data, integrating ad platforms and ensuring PII privacy while collaborating with product and marketing teams.
Transit Data Architect: Cloud Analytics & AI
Builds and scales GCP data pipelines with BigQuery to transform transit data into reliable inputs for leadership dashboards and support data-driven decisions.
Senior Data Engineer — Data Pipelines & Compliance
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and data workflows for a fintech client, ensuring compliance and automation using Snowflake, DBT, and Airflow.