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Principal Data Engineer
Principal Data Engineer builds and scales cloud data pipelines using Databricks/PySpark, DBT, Airflow, and Snowflake to power analytics for retail, CPG, and fintech clients.
Data Engineer Mid - GCP Data Migration & Pipelines
Data Engineer to migrate and govern data assets from BigQuery Sandbox to a managed Google Cloud Platform environment, building reliable ETL/ELT pipelines.
Data Engineer - Mexico
Design and build scalable data platforms on AWS, Azure, and GCP for enterprise clients, using cloud warehouses, Spark, Kafka, and orchestration tools.
Lead Data Engineer
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Principal Data Engineer: Data Pipelines & Snowflake Expert
Designs and builds scalable cloud data pipelines using DBT, Databricks, Snowflake, and Airflow, mentoring engineers and setting technical standards.
Data Engineer
Build and own ETL pipelines that reconcile royalty data from streaming platforms to ensure music creators are paid fairly, using Python, dbt, PostgreSQL, and Airflow.
Data Engineer
Build and maintain cloud-based ETL/ELT pipelines and datasets for manufacturing data, enabling analytics and AI/ML at Corning’s Optical Communications division.
Full-Stack Data Engineer: Build Scalable Data Pipelines & Apps
Build and maintain scalable data pipelines and applications using Python, Snowflake, dbt, and Airflow while applying DevOps practices.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power AI/ML features in Tebra’s healthcare EHR platform, ensuring reliable, high-quality datasets for model training and production inference.
Senior Data Engineer — Build Data Platform & Pipelines
Senior Data Engineer builds and scales a modern data platform with ETL/ELT pipelines, Snowflake schemas, and DataOps practices using Python, Airflow/Prefect/Dagster, and CI/CD.
Data Engineer
Senior Data Engineer builds and optimizes ETL pipelines, migrates legacy systems to cloud platforms like Snowflake and Databricks, and designs scalable data workflows using Python, SQL, and Airflow for a financial services client.
Senior Data Engineer: Modern Data Platforms & Pipelines
Build and optimize scalable data platforms for a financial client using Snowflake, Databricks, Hive, and Airflow to modernize legacy systems.
Full-Stack Data Engineer
Build and maintain scalable data pipelines, Python services, and automation for reliable data products in a DevOps/DataOps model, while improving team engineering standards.
Senior Data Engineer, Risk Tech — Scalable Data Pipelines
Senior Data Engineer builds and maintains scalable data pipelines using Python, AWS, Airflow, and Snowflake to support risk analytics in a fintech setting.
Senior Data Engineer: Cost Attribution & Data Pipelines
Design and maintain data infrastructure for cost attribution and financial modeling using Python, SQL, dbt, and Airflow on AWS.
Data Engineer (m/f/d)
Build and maintain scalable data pipelines on Google Cloud to power analytics and AI initiatives for DISH’s HoReCa-focused products.
Platform Engineer (Data Platform, AI, 25-35K)
Build and maintain the AI platform and data lakehouse, automating operations and integrating services with APIs and cloud infrastructure using Python, Kubernetes, and MLOps tools.
Machine Learning Engineer
Build and maintain ML infrastructure to deploy NLP and deep-learning models for financial-market clients, using Python, cloud platforms, and CI/CD pipelines.
Senior/Staff Engineer, Liquidity Platform, Data Engineer (Data Platform)
Build and operate a high-throughput crypto market-data platform: ingest exchange APIs, run streaming/batch pipelines, and maintain storage backends like Iceberg, ClickHouse, and PostgreSQL to serve trading desks and analytics.