Lead Data Engineer - MS Stack

System One - Baltimore, MD

Full-time - Senior

Remote - Baltimore, MD

Administrative and Support Services

About the position

The Lead Data Engineer is responsible for orchestrating, deploying, maintaining, and scaling cloud or on-premise infrastructure targeting big data and platform data management. This role emphasizes reliability, automation, and performance, focusing on leading the development of solutions that transform the company's platforms to deliver data-driven insights and value.

Responsibilities

• Lead the team to design, configure, implement, monitor, and manage all aspects of Data Integration Framework.
• Develop and maintain infrastructure systems including data access APIs.
• Provide guidance and perform work related to Modeling Data Warehouse solutions in the cloud or on-premise.
• Oversee the delivery of engineering data initiatives and projects, supporting long-term data initiatives and ad-hoc analysis.
• Enforce the implementation of best practices for data auditing, scalability, reliability, and application performance.
• Interpret data, analyze results using statistical techniques, and provide ongoing reports.
• Improve data delivery engineering job knowledge by attending educational workshops and participating in professional societies.

Requirements

• 8 - 10+ years' experience in Data Architecture/Engineering/Validation.
• Healthcare background is critical.
• Experience with MS Stack - MS Azure, Databricks, Data Factory, Azure Synapse.
• Experience standing up a data platform and building data domain architecture.
• Ability to define and translate business requirements and document KPIs.
• Experience developing and updating ETL/ELT scripts.
• Strong technical, analytical, and problem-solving skills.
• Strong organizational and communication skills, both written and verbal.

Nice-to-haves

• Knowledge of at least one programming language (i.e., SQL, NoSQL, Python).
• Understanding of database design and implementation concepts.
• Knowledge of data exchange formats and data movement concepts.

Benefits

• Health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans.
• Participation in a 401(k) plan.