Top Data Engineer Jobs

The Data Engineer will assist in testing and deploying applications, implementing data quality and warehouse pipelines, and collaborating with various teams.

The Data Engineer will design and manage data pipelines, develop datasets for product metrics, and collaborate with teams to ensure robust data integration and processing.

The Data Engineer will manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

As a Data Engineer, you will build and maintain data pipelines, collaborate on data modeling, and automate data processes for the Games team at Netflix.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.

Seeking a Data Engineer to design, build, and maintain data pipelines using Python, AWS, Databricks, and SQL, ensuring data reliability.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The Staff Data Engineer will define the technical strategy for enterprise data systems, build and optimize data pipelines, and provide architectural leadership while mentoring teams and ensuring data excellence.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

Design and build scalable cloud-native data pipelines and models to produce trusted, analysis-ready data. Ensure data quality, governance, and privacy controls, apply software engineering best practices, enable BI and AI/ML consumption, and collaborate with clients and cross-functional teams.

Lead and mentor a data engineering team to design and operate scalable ETL/ELT pipelines and Snowflake data warehouse solutions using Python, DBT, Matillion, and AI tools; establish standards, ensure data quality and governance, and collaborate with analytics, product, and BI stakeholders to deliver production-ready data platforms.

Lead design and implementation of a cloud-based data platform using AWS/Azure and AI capabilities. Gather requirements, deliver production-ready DevSecOps solutions, mentor engineers, build data pipelines, integrate COTS/APIs, and translate strategy into technical roadmaps to enable data-driven decision making.

Operate and support critical data pipelines and infrastructure, troubleshoot production data issues, perform root cause analysis, implement automation and monitoring, own incident management and on-call rotation, and create support documentation to ensure reliable, timely, and consumable data for stakeholders.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

As a Senior Data Engineer, you will design, develop, and implement data solutions, utilizing cloud technologies and collaborating with teams to support technical solutions and mentor others.

The Senior Data Engineer at Unchained will design and implement data pipelines, integrate APIs, ensure data governance, and mentor team members while focusing on accuracy and security.

As a Senior Data Engineer, you will design data pipelines, manage databases, optimize data workflows, ensure data integrity, and collaborate with cross-functional teams on data-driven solutions.

The Data Engineer will develop and integrate data pipelines, ensure data integrity, and support continuous automation in an Agile/Scrum environment.

Responsible for building scalable data pipelines, transforming data using Python and SQL, and collaborating with teams to ensure data quality and successful analytics solutions.

The GTM Data Engineer designs and manages a customer and revenue data foundation, ensuring data quality and availability for Marketing, Sales, and Customer Success teams, while overseeing data integration and reporting.

The Data Engineering Intern will assist in building data pipelines, support ETL workflows, ensure data quality, and document processes using SQL and Python.

As an FP&A Data Engineer, you will manage data pipelines, develop financial models, and automate reporting to assist management and teams in making data-driven decisions.

The Founding Data Engineer/Data Scientist will design and build data systems for payments and fraud, ensuring data accuracy and enabling analytics. Responsibilities include establishing data pipelines, models, quality checks, and documenting processes while collaborating with stakeholders.

The Data Engineer will build and operationalize data solutions, analyze data sources, ensure data governance and quality, and support analytics across teams.

The Staff Data Engineer will build and manage a data lake, optimize data pipelines, collaborate with teams, and support AI projects while ensuring quality data solutions.