Top Data Engineer Jobs

The Senior Data Engineer will build scalable data pipelines, ensure data quality, optimize ETL processes, and collaborate with stakeholders to enhance data infrastructure and analytics applications.

As a Senior Data Engineer, you'll design and build BI and data warehouse solutions, develop ETL processes, and manage data quality and deployment.

Lead the development and optimization of data transformation processes using dbt Core, Snowflake, and Python. Mentor engineers and ensure deliverables meet analytics needs.

As a Lead Data Engineer, you'll design scalable data frameworks, develop data pipelines, implement data quality checks, and collaborate with stakeholders to enhance data solutions.

The Systems Engineer will develop data processing workflows, scientific algorithms, and analysis tools, focusing on measurement systems using Python and statistical methods, while collaborating in an Agile environment.

The Data Catalog Integration Engineer will design, develop, and maintain data catalog integrations, ensuring data discovery and governance while collaborating with teams to implement scalable solutions.

As a Senior Data & Integrations Engineer, you will design and govern data architecture, manage integrations, and ensure data reliability and scalability while collaborating with various teams.

The Sr. ETL Informatica Systems Engineer develops ETL applications for the EDW/BI program using Informatica tools, managing complex SQL and APIs.

The Senior Data Engineer will enhance data workflows, support Azure-based tools, and optimize reporting processes while collaborating with business stakeholders.

Lead data and visualization engineering activities, guide multi-disciplinary teams, develop data platforms, and oversee data-driven projects to generate insights for clients.

As a Senior Data Engineer at DMSi, you'll design and maintain data pipelines, ensure data governance, and collaborate with cross-functional teams to launch data products that support the Building Materials industry.

As a Senior Data Engineer, you will build and maintain data pipelines, enhance analytics capabilities, manage data integration, and guide team members in transforming complex data into actionable insights.

The Solution Engineer - Data Engineering Specialist will provide technical leadership in the financial services sector, collaborating with sales teams to demonstrate Snowflake's data platform capabilities while engaging with technical and executive stakeholders.

As a Senior Data Engineer, you will design ETLs for large customer datasets, improve integration tools, and mentor other engineers, impacting customer onboarding and data accuracy.

The Senior Data Engineer will build and maintain data pipelines using Databricks and AWS services, ensuring data quality and effective system integration for enterprise analytics.

The Senior Data Engineer will build AI-integration data pipelines, manage AWS infrastructure, engage stakeholders, and lead data governance for AI readiness.

As a Senior Data Engineer, you will build and maintain data pipelines and frameworks, integrating AI capabilities, ensuring data quality, and setting engineering standards.

The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.

The Staff Data Engineer will design and maintain data systems, streamline workflow for Data Analytics and Machine Learning teams, and ensure data pipelines are efficient and reliable. Responsibilities also include driving large projects, collaborating across teams, mentoring, and supporting the company's strategy.

The Senior Staff Data Engineer at SmithRx will define technical vision, improve data engineering efficiencies, and enhance data governance while mentoring other engineers and leading cross-functional collaborations.

Lead data linkage projects for Federal initiatives, ensuring compliance, developing algorithms, evaluating accuracy, and managing data security.

Lead design and implementation of data lake architecture and cloud data platforms. Develop and optimize ETL/Delta Lake pipelines, administer Databricks, integrate AI/ML workflows, enforce cloud security/RBAC, and collaborate with analysts, developers, and clients to deliver compliant solutions.

As a Data Visualization Engineer, you will analyze data, create visualizations, engineer data pipelines, and collaborate with clients to communicate insights effectively using various tools.

The role involves data analysis, scripting automation with MATLAB/Python, technical reporting, communication of findings, and collaboration with teams to refine data workflows.

The Sr. Data Engineer will develop and optimize Microsoft Fabric pipelines and Power BI performance, design data systems, lead data modeling standards, and ensure SLA reliability while communicating complex ideas clearly to non-technical stakeholders.