Top Hybrid Data Engineering Jobs

This role involves designing and implementing technical solutions for enterprise systems like SAP, translating business needs into functional designs, and ensuring system performance.

The role involves being a subject matter expert in Log Management, executing competitive strategies against legacy tools, architecting log-ingestion frameworks, and advocating for log consumption optimization with customers.

The Staff Data Engineer will architect, build, and maintain scalable data pipelines, implement ETL processes, and mentor team members.

Lead technology initiatives for business problems, develop systems and procedures, evaluate challenges, and coordinate communication between teams for CCaaS migrations.

Assist in developing and maintaining data processing pipelines, collaborating with teams to define requirements, and enhancing infrastructure for data sets.

Fora seeks a Senior Analytics Engineer to enhance data modeling and delivery, ensuring access to reliable insights across teams. Responsibilities include managing the analytics layer, improving data performance, and mentoring while collaborating with stakeholders on analytics needs.

Assist in developing, testing, and maintaining software applications, collaborate on designs, participate in code reviews, and contribute to documenting processes.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

The Data Analytics Engineer will enhance Salesforce analytics, translate business requirements into technical specifications, maintain data flows, and ensure data quality and reporting standards.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.