Data Engineer

DPP is seeking a Data Engineer for an opportunity in Lansing, Michigan.

Work arrangement:

• Hybrid: Onsite 2 days/week; WFH 3 days/week
• W2 position; 12 months, with possible extension
• Candidates must be local to mid-Michigan. No remote only option.

Position description:

• The Data Engineer is responsible for providing ongoing maintenance and support of the Michigan Disease Surveillance System (MDSS). MDSS is a complex application that supports communicable disease surveillance, registries, and case management systems that are critical to supporting effective responses to public health emergencies and reducing the burden of communicable diseases. MDSS is going through modernization to enhance stability and functionality of the system. With phase 1 already completed.
• The Data Engineer is integral to developing and maintaining and enhancing MDHHS' MDSS phase one: Making sure automated processes are functioning, streamlining critical business processes, data integrity, SEM/SUITE compliance, and securing the application.
• The Data Engineer also performs as a technical lead and provides technical guidance to the other developers in the department. As a technical lead, the Data Engineer participates in a variety of analytical assignments that provide for the enhancement, integration, maintenance, and implementation of projects.
• The Data Engineer provides technical oversight to other developers in the team that support other critical applications.

Responsibilities:

• Lead the design and development of scalable and high-performance solutions using AWS services.
• Experience with Databricks, Elasticsearch, Kibana, S3.
• Experience with Extract, Transform, and Load (ETL) processes and data pipelines.
• Write clean, maintainable, and efficient code in Python/Scala.
• Experience with AWS Cloud-based Application Development
• Experience in Electronic Health Records (EHR) HL7 solutions.
• Implement and manage Elasticsearch engine for efficient data retrieval and analysis.
• Experience with data warehousing, data visualization tools, data integrity
• Execute full software development life cycle (SDLC) including experience in gathering requirements and writing functional/technical specifications for complex projects.
• Excellent knowledge in designing both logical and physical database models.
• Develop database objects including stored procedures and functions.
• Extensive knowledge on source control tools such as GIT.
• Develop software design documents and work with stakeholders for review and approval.
• Exposure to flowcharts, screen layouts and documentation to ensure logical flow of the system requirements
• Experience working on large Agile projects.
• Experience or knowledge in creating CI/CD pipelines using Azure DevOps

Required knowledge, skills, and abilities:

• 12+ years developing complex database systems.
• 8+ years Databricks.
• 8+ years using Elasticsearch, Kibana.
• 8+ years using Python/Scala.
• 8+ years Oracle.
• 5+ years' experience with Extract, Transform, and Load (ETL) processes and developing Data Pipelines.
• 5+ years' experience with AWS.
• Over 5+ years' experience with data warehousing, data visualization tools, data integrity.
• Over 5+ years using CMM/CMMI Level 3 methods and practices.
• Over 5+ years of experience implementing Agile development processes including test driven development.
• Over 3+ years' experience or knowledge in creating CI/CD pipelines using Azure DevOps (Nice to have).

Interested? Learn more:
Click the apply button or contact our recruiter Kin at Kin.Riley@dppit.com to learn more about this position (#25-00232).

DPP offers a range of compensation and benefits packages to our employees and their eligible dependents. Call today to learn more about working with DPP.

Authorized US Worker - US Citizens and those authorized to work in the US are encouraged to apply. We are unable to sponsor at this time. EOE/AA/V/D