Top Data Engineer Jobs

Design, build, and maintain Snowflake-native ELT pipelines and dbt Data Vault models for clinical, operational, and people data. Optimize Snowflake performance, ensure data quality, enable AI/LLM workflows (summarization, tagging, embeddings), and collaborate with engineering and business stakeholders to deliver trusted, analysis-ready datasets.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Design and maintain scalable batch and real-time data pipelines, build governed data models for a CDP, ensure data quality and security, support identity resolution and customer 360, mentor junior engineers, and collaborate with analytics and business stakeholders to deliver actionable customer insights.

Build and own marketing data and attribution systems: implement tracking (GTM, pixels, conversion APIs), integrate CRM/warehouse with ad platforms, sync audiences, validate dashboards, debug data discrepancies, and operationalize experiments to ensure measurable, attributable marketing and lifecycle metrics.

As an Azure Data Platform Consultant, you will deliver data solutions using Azure and Fabric, engage with clients, design solutions, and optimize data platforms.

The Jr. Data Engineer will design and maintain scalable data pipelines, develop AI/ML models, analyze complex datasets, and communicate insights across teams.

As a Data Engineer at Promise, you'll design data architectures, automate workflows, enforce data quality, and support analytics, enabling data-driven decisions.

The Data Engineer Senior will develop an advanced visual analytic application, analyze relational data, and utilize high-performance computing for actionable intelligence.

The Data Engineer will develop data analytics for visual applications, analyze relational data using advanced techniques, and create actionable intelligence from structured data.

The Data Engineer will lead data lifecycle strategy, manage data acquisition and cleansing, and collaborate with teams to optimize data solutions and architecture.

The Data Engineer will build and optimize data pipelines and cloud solutions, collaborating with teams to ensure data quality and leveraging modern engineering tools.

The role involves building and maintaining data pipelines, ensuring data quality, and collaborating with clinical researchers to provide clean datasets for analysis.

The Data Engineer will develop and maintain data pipelines, perform backend integrations, and enhance data systems for effective reporting and analytics.

As a Data Engineer, you will design and maintain data pipelines, ensure data quality, and work with teams to support data-driven initiatives in a healthcare setting.

The BI ETL Data Developer II/III develops and maintains scalable data pipelines in a cloud-based environment, enhancing data integrity and quality for informed decision-making across the University.

As a Data Engineer, you'll deliver scalable data solutions, participate in technical discussions, and ensure timely, trustworthy data delivery through robust pipelines.

The Data Engineer will develop and implement software solutions for law enforcement, focusing on data management, system optimization, and effective communication with clients.

The role involves designing and building scalable data pipelines, collaborating cross-functionally, ensuring data quality, and improving processes in the finance data warehouse.

The Data Engineer will enhance Ancestry's data systems by developing and supporting real-time data streaming solutions, validating the data platform, and implementing Infrastructure as Code practices.

As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.

The Staff ML Data Engineer will design and build data systems for AI products, focusing on multimodal data and ensuring efficient data workflows for machine learning research and production.

Responsible for building and operating scalable lakehouse data pipelines, optimizing data flows, and delivering analytics-ready data products using Azure Databricks technologies.

This role offers training for aspiring Data Engineers, focusing on technology of choice, interview preparation, and skill enhancement with guidance on OPT STEM extension.

The Data Engineer will transform raw data into useful systems by building pipelines, conducting analysis, and collaborating on projects. Responsibilities include developing algorithms and enhancing data quality.

The role involves engineering modern data platforms, focusing on data ingestion, transformation, and storage while utilizing Azure services and MS Fabric, supporting an investment management firm.