Top Senior Data Engineer Jobs

As a Senior Data Engineer, you will design and implement data pipelines, provide technical leadership, and collaborate with stakeholders to deliver data engineering solutions using cloud technologies.

Design, implement, and maintain data pipelines on cloud platforms, provide technical leadership, and ensure solutions align with customer needs.

The Senior Data Engineer will design, implement, and maintain cloud-based data pipelines, providing technical leadership and ensuring systems meet business requirements while staying current with technology trends.

As a Senior Data Engineer, you'll design and implement data pipelines on cloud platforms, collaborate with clients, and provide technical leadership while using ETL technologies and various database systems.

Design and implement advanced data systems and pipelines using cloud technologies. Provide technical leadership and collaborate with clients to meet their data engineering needs.

The Senior Data Engineer designs and implements data pipelines and cloud solutions while providing technical leadership and supporting client needs in data engineering.

The role involves designing and implementing data pipelines, advising clients on data engineering solutions, and mentoring engineers in a collaborative environment.

Design and maintain data pipelines, provide technical leadership, and collaborate with teams to deliver cloud-based data solutions for clients.

Design, implement, and maintain data pipelines on cloud platforms, using ETL technologies. Provide technical leadership and collaborate across teams.

The Senior Data Engineer will design and maintain data pipelines, provide technical leadership, and work with cloud platforms like AWS, Azure, and GCP.

Design and maintain data pipelines using cloud technologies. Provide technical leadership, implement data engineering solutions, and mentor engineers. Collaborate with stakeholders and stay updated on cloud advancements.

The Senior Data Engineer will design and maintain data pipelines, provide technical leadership, collaborate with teams, and ensure optimal solutions using cloud technologies.

Lead Data Engineer responsible for defining architecture, engineering standards, and best practices for the enterprise data platform, collaborating with distributed teams for modernization and scalability.

The Developer, Data and Integration maintains and develops scalable integration solutions focusing on B2B/EDI transactions, working with business units to translate data needs into technical solutions, and ensures the reliability and performance of data flows.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, focusing on architecture, ingestion, storage, and analytics on GCP. You'll collaborate with stakeholders and optimize data structures for performance while ensuring adherence to data governance and compliance standards.

The Lead Data Engineer designs and oversees data systems to facilitate data-driven decisions, collaborating with teams to build scalable data infrastructure and tools.

The Sr. Data Engineer will build and manage data pipelines for large datasets, collaborate with teams, and leverage cloud technologies for data processing.

The Senior Data Engineer will design and develop scalable data architectures, manage ETL processes, optimize databases, and implement MLOps pipelines, promoting data-driven decision-making across the organization.

Lead and define architectural solutions for data pipelines, mentor teams, optimize ETL/ELT processes, and ensure data governance in a client-facing environment.

Design, build, and maintain large-scale data pipelines using NiFi, Kafka, Python, Java, and AWS. Develop ETL/warehousing, data models, automated cleaning, monitoring, unit tests, and SQL-based debugging. Containerize with Docker, collaborate via JIRA/Agile, and ensure scalable, observable data architecture for analytics and data science.

Design, develop, and maintain batch and streaming data pipelines and ETL for large unstructured datasets. Build and operate CI/CD pipelines, containerize applications with Docker, deploy on Kubernetes, and collaborate with developers, data scientists, SMEs, and cyber analysts to deliver data management solutions.

Design, build, and operate scalable ingestion, curation, and metadata-enrichment pipelines for enterprise data catalog and discovery. Ensure data quality, schema evolution, lineage, and cost-efficient large-scale processing; translate technical concepts for non-technical stakeholders and support downstream mission use.

Design, implement, and maintain cloud-based data pipelines and architectures across AWS/Azure/GCP. Advise clients on best practices, partner with stakeholders to translate requirements, provide technical leadership, and mentor engineers while leveraging ETL/orchestration tools, data warehouses/lakes, databases, and programming languages for scalable data solutions.

Design, implement, and maintain cloud-based data pipelines and architectures (ETL, data lake/warehouse). Advise clients on best practices, collaborate with product owners, mentor engineers, and deliver scalable distributed data solutions using cloud platforms and orchestration tools.

Lead design, maintenance, and optimization of on-prem and cloud data platforms. Perform DBA duties for SQL Server, manage HA/DR and replication, troubleshoot performance, lead on-prem to Azure migrations, maintain Azure data services and Microsoft Fabric, optimize cloud cost/performance, implement monitoring, collaborate with architects and BI teams, and mentor junior engineers.