Lead Data Engineer

3 weeks ago


Baltimore, United States Lumen Solutions Group Inc. Full time

Position Title: Lead Data Engineer

Location: Remote (EST/CST Time Zones)

Duration: Contract

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Job Description:

Purpose:

The Lead Data Engineer will spearhead the design, development, and scaling of data solutions, focusing on building operational data stores (ODS) within the healthcare and health plan domain. This role involves collaborating with IT operations teams to transform requirements into scalable data architectures, integrating multiple data platforms, and leveraging tools such as Power BI for data visualization and insights. The ideal candidate will have extensive experience in healthcare data engineering and operational transformation.

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Qualifications:

Must-Have:

Experience:

• 8+ years of experience leading data engineering teams, focusing on large-scale, transformative data build-outs.

• Extensive experience with healthcare and health plan data operational stores.

• Proven ability to design and implement operational data stores (ODS) in the health plan domain.

• Hands-on experience with ETL/ELT processes, relational databases, and data modeling.

• Proficiency with multiple data platforms and data visualization tools such as Power BI.

Education:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

Preferred Qualifications:

• Strong expertise in programming languages (e.g., SQL, NoSQL, Python) and database design concepts.

• Knowledge of data exchange formats and data movement concepts.

• Excellent problem-solving, organizational, and communication skills.

• Proven ability to lead cross-functional teams and deliver scalable data solutions.

________________________________________

Key Responsibilities:

• Lead the design, configuration, implementation, and management of the Data Integration Framework for optimal performance and reliability.

• Develop and maintain infrastructure systems, including data warehouses and data lakes, and provide data access APIs.

• Build operational data stores (ODS) for health plan data, ensuring alignment with business requirements and IT operations.

• Translate business requirements into scalable data architecture and provide solutions for build-vs-buy decisions.

• Oversee data engineering initiatives, including ETL/ELT processes, and create frameworks for structured and unstructured data.

• Collaborate with IT operations teams to analyze and transform health plan operational data.

• Enforce best practices for data auditing, scalability, and reliability while ensuring performance optimization.

• Perform data analysis, statistical techniques, and create actionable insights using tools such as Power BI.

• Research and implement the latest data engineering methodologies and practices to drive innovation.

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