Top Senior Data Engineer Jobs

The Senior Data Engineer is responsible for developing and supporting data solutions, collaborating with teams, and utilizing various programming languages and cloud services to solve complex problems.

Designs and implements scalable multi-tenant data solutions and pipelines using Python, SQL, Snowflake, Snaplogic, Azure and AWS. Leads architecture design, ensures QA readiness, documents systems, mentors engineers, and coordinates cross-team project delivery on-time and on-budget.

Senior-level contract Data Engineer to design, build, and optimize warehouse-first data pipelines and models using BigQuery, dbt, and Looker. Integrate eCommerce and subscription data (Shopify, Klaviyo, Loop, 3PLs), implement data quality and monitoring, leverage LLMs to accelerate transformations, and collaborate with analytics, product, and marketing teams.

Seeking a Database Administrator/Data Engineer for AWS migration, responsible for migrating databases, developing Python scripts, and building data pipelines.

The Data Engineer is responsible for building and maintaining ETL/ELT pipelines, optimizing data storage formats, managing CI/CD pipelines, and creating visualizations with actionable insights, focusing on reliability and data quality.

The role involves developing data solutions, integrating and transforming data, collaborating with stakeholders, and monitoring performance to support decision-making processes.

The Lead Data Engineer will design and build the data warehouse, develop ETL/ELT pipelines, and establish data governance and quality practices while building a team to support data-driven growth.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

Design, build, and maintain Azure-based data infrastructure and pipelines; integrate disparate data sources; implement data governance and quality; support retail analytics product discovery and insights; establish standards and best practices; mentor team members and consult cross-functionally to drive business growth.

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

The HR Data Engineer/Data Scientist will design and maintain data integration pipelines for workforce-related datasets, ensuring high-quality data and collaborating with stakeholders. Responsibilities include automating data workflows, developing documentation, validating data, and implementing governance frameworks.

The Data Engineer will lead the migration of large datasets from legacy systems to AWS cloud, develop analytic applications, and manage SQL Server and Oracle databases.

The Data Engineer at Netflix builds systems for efficient data processing and modeling, collaborating with various teams to empower analytical insights and product features.

The Data Engineer will analyze data quality, design prediction algorithms, collaborate with the engineering team, and generate business insights.

The Principal Data Engineer will design and implement enterprise data frameworks, mentor teams, and ensure data quality while collaborating with stakeholders.

The Data Engineer II will develop and support data pipelines, collaborate with teams, ensure data delivery, and lead projects while mentoring junior engineers.

As a Senior Cloud Data Engineer, you will design and maintain scalable data pipelines, collaborate with cross-functional teams, and ensure best practices in data engineering.

As a Data Engineer, you will develop and optimize data solutions, manage data pipelines, and support analytics needs through collaboration and problem-solving.

The Technical Consultant will design and maintain ELT pipelines using Snowflake and DBT, optimize Snowflake performance, and collaborate with stakeholders for data solutions.

The Data Engineer will design and maintain ETL pipelines on Databricks, ensuring data quality and performance for banking applications, while mentoring junior engineers.

The Enterprise Analytics Data Engineer II will build data pipelines, optimize data platforms, ensure data quality, and collaborate with teams to create actionable insights from healthcare data.

The Principal Data Engineer will design and implement scalable data platforms, lead architecture discussions, and mentor teams. Requires expertise in Azure and Databricks.

The Principal IT Data Developer will lead development teams, engage with stakeholders, and drive the lifecycle of data applications while ensuring compliance with GxP regulations.

The Data Engineer III will design and develop data applications, oversee multiple projects, and ensure smooth operations of data solutions. Responsibilities include BI administration, system performance monitoring, and maintaining CI/CD pipelines.

Lead the design and delivery of scalable data pipelines and platforms for enterprise-level analytics, ensuring operational excellence and data governance.