Data Engineer

Responsible for gathering and assessing business information needs to support the Agencys develop of a DataOps environment

Performs analyses, development and evaluation of DataOps processes and practices in a data lake/warehouse environment which includes data design, data systems, databases infrastructure/architecture, metadata and repository creation

Uses data governance and data analysis tools

Reviews and validates data observability processes and analysis to support data quality, integrity, and accuracy

Interacts with user community to produce data pipelines understand their data product/reporting requirements

Provides technical assistance to users of the various data sources and advises users on optimal data sets effective, efficient data usage

Responsible for developing solutions, preparing test scripts, and conducting tests and for data extraction, transformation, loading, and cleansing

Provides technical assistance to users for data modeling formation and pipelines for optimal data delivery

Maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments

Possesses working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools

Must have an extensive knowledge of data pipelines, date fabrics, data mesh, data warehouse and data mart concepts

Skills Required
Working with data fabric and data mesh architectural design, development and support in multi-platform environments

Working on multiple projects as a team member and may lead projects of moderate complexity

Assembling large, complex sets of data that meet non-functional and functional business requirements

Creating and maintaining an optimal pipeline architecture, typical duties and responsibilities for a Data Engineer position may include: Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery and automating manual processes

Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies

Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition

Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues

Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

May coach more junior technical staff

Experience Required
3-5 years in a professional level role with progressive experience as a member of a DataOPS team or unit

Knowledge of programming languages in combination with business needs to design, monitor and update data systems

Excellent interpersonal communication skills for interaction with various LOBs to address technical problems or data needs

An investigative mindset that enables them to troubleshoot issues with data systems and isolate defects in data process or software

Experience Preferred
1-2 years experience in implementing practices outlined in Data Management Book of Knowledge (DMBOK).

Experience working in a Health Care delivery or Payer environment such as an Medicaid, Medicare, or Integrated Health System

Education Required
Bachelor’s Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience