Tech jobs
Job listings
Middle Data Engineer
Designs and maintains scalable data pipelines and warehouses for analytics and ML using Snowflake, dbt, ADF, and Azure; writes efficient SQL and Python to process large datasets.
Senior Data Engineer
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
Data Engineer (Contractor)
Build and maintain scalable data pipelines and infrastructure to ensure high-quality, trusted data for analytics and decision-making at a fintech payments company.
Staff Data Engineer
Build and maintain a globally distributed data platform using AWS, Snowflake, and Spark to power analytics and ML for Zendesk’s customers.
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.
Snowflake Data Engineer: Cloud Pipelines & AI Solutions
Designs and maintains Snowflake data pipelines and cloud-based data solutions while contributing to ML/GenAI initiatives in a hybrid setup.
Data Engineer
Designs and builds cloud-based data pipelines and ETL workflows on Azure or GCP, using Python/Java/Scala, Spark, Kafka, and Airflow to modernize and migrate enterprise data systems.
Data Engineer
Build and maintain cloud-based data pipelines and warehouses using Databricks, Snowflake, or MS Fabric to enable data-driven decisions for global clients.
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.
Cloud DevOps engineer: Specialist in Snowflake and AWS area
Build and maintain a cloud data platform on AWS and Snowflake, automating pipelines, optimizing performance, and ensuring near real-time data processing and security.
Data Engineer
Build and maintain data pipelines, warehouses, and governance for an insurance-focused platform using Python, Databricks/Snowflake, and cloud services.
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.
Junior Data Engineer - Hybrid, Snowflake Pipelines
Builds and optimizes Snowflake-based data pipelines, ensuring secure, high-quality data flows for analytics and reporting.
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 — Remote/Hybrid, AI‑Driven Data Pipelines
Design and maintain scalable ELT/ETL pipelines using Airflow, Snowflake, and Databricks to feed AI-driven analytics and models.
Machine Learning Engineer
Build and deploy production-grade ML models and MLOps pipelines in Python using PyTorch/TensorFlow, cloud platforms, and Snowflake to power enterprise-scale AI solutions.
Data Engineer
Designs and maintains scalable data models and ETL pipelines for a real-estate platform, using Snowflake, Python, and SQL to integrate property data and power analytics.
Data Architect
Designs and evolves AGLC’s enterprise data architecture, guiding cloud and analytics initiatives to support gaming and liquor systems across 1,200+ locations.
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.