Lead Data Engineer

Centene Corporation • Remote-MO, MO

3d • $102,900 - $190,500

About The Position

The Lead Data Engineer leads the development and operationalization of data pipelines that make data available for reports and advanced analytics. This work includes data ingestion, transformation, validation and quality, pipeline optimization, and orchestration, in close collaboration with the DevSecOps Engineer during continuous integration and continuous deployment.

The role leads the design and implementation of standardized data management procedures for data staging, ingestion, preparation, provisioning, and destruction, using scripts, programs, and automation. It leads data engineers in designing, developing, implementing, testing, documenting, and operating large-scale, high-volume, high-performance data structures for business intelligence analytics, as well as designing, developing, and maintaining real-time processing applications and data pipelines.

The Lead Data Engineer ensures the quality of technical solutions as data moves across Centene’s environments, provides insight into changing data and processing, storage, and utilization requirements, and suggests solutions. The role develops, constructs, tests, and maintains architectures using programming languages and tools; improves data reliability, efficiency, and quality; and uses data to identify tasks that can be automated. Other duties may be assigned, and the employee must comply with all policies and standards.

Requirements

• Bachelor’s degree in a quantitative or business field, such as statistics, mathematics, engineering, or computer science, or equivalent experience acquired through applicable knowledge, duties, scope, and skills.
• Five to seven years of related experience.
• Intermediate ability to acquire knowledge in the area of specialty.
• Intermediate ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.
• Intermediate ability to work independently.
• Intermediate analytical skills.
• Intermediate project management skills.
• Intermediate ability to maintain a high level of accuracy, even under pressure.
• Intermediate judgment and decision-making skills.
• Intermediate ability to communicate and make recommendations to upper management.
• Intermediate ability to drive multiple projects to successful completion.
• Intermediate technical aptitude.

Nice To Haves

• Advanced data modeling experience.
• Established experience with solutions architecture.
• Experience with data manipulation and data mining.
• Demonstrated experience developing strategy and structure around data analysis.
• Advanced knowledge of SQL.
• Knowledge of Snowflake.
• Experience with Databricks.

Responsibilities

• Lead development and operationalization of data pipelines for reports and advanced analytics, including ingestion, transformation, validation and quality, optimization, and orchestration.
• Work closely with the DevSecOps Engineer during continuous integration and continuous deployment.
• Lead the design and implementation of standardized data management procedures for staging, ingestion, preparation, provisioning, and destruction.
• Lead data engineers in designing, developing, implementing, testing, documenting, and operating large-scale, high-volume, high-performance data structures for business intelligence analytics.
• Lead the design, development, and maintenance of real-time processing applications and real-time data pipelines.
• Ensure the quality of technical solutions as data moves across Centene’s environments.
• Provide insight into changing data environments and data processing, storage, and utilization requirements, and offer suggestions for solutions.
• Develop, construct, test, and maintain architectures using programming languages and tools.
• Implement ways to improve data reliability, efficiency, and quality, and use data to identify tasks that can be automated.
• Perform other duties as assigned and comply with all policies and standards.

Benefits

• Competitive pay.
• Health insurance.
• 401(k) and stock purchase plans.
• Tuition reimbursement.
• Paid time off and holidays.
• Flexible approach to work, with remote, hybrid, field, or office work schedules.
• Additional forms of incentives may be included in total compensation; benefits may be subject to program eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior