A Day in the Life:

Responsibilities include:

• Develop the data technology strategy, including resolving strategic data integration issues, such as data quality and stewardship, real-time, event-based data integration, and crafting a universal vision for data integration.
• Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation.
• Perform extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods.
• Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
• Improves operations by conducting systems analysis; recommending changes in policies and procedures.
• May provide thought leadership in data warehousing schema and database performance tuning.
• Provide direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems.
• Develops the definition, implementation, and continued adherence of new data management policies and design standards for data engineering.
• Provide advice, training, and technical support for various projects.
• Participate and leads project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel.
• May oversee the throughput of work in progress assigned to the data engineering team.
• May lead data engineering projects as well as mentor team members on the projects they manage.

The job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Other duties, responsibilities, and activities may change or be assigned at any time. 

What You'll Need for Success:

Credentials:

• Bachelor’s Degree with coursework in analytics, informatics, computer science, mathematics, and/or engineering and 4+ years of experience, or  
• Master’s Degree with coursework in analytics, informatics, computer science, mathematics, and/or engineering and 2+ years of experience, or 
• 7 + years of experience applying the below, outlined knowledge, skills, and abilities in a similar role
• Related certifications and coursework may be considered for education or experience. 

Additional qualifications:

• Experience utilizing data engineering/management platforms, concepts, languages, and tools.
• Experience/exposure to cloud computing platforms.
• Working knowledge of how the front-end reporting tool influences the relational database.
• Extensive knowledge of the most recent technical developments in Data Engineering.
• Broad knowledge base using SQL and/or Python to query and process large data sets to perform profiling, data quality assessments, manipulating data, drawing insights from large data sets, as well as being familiar with software needs for automation.
• Strong understanding of relational and dimensional databases, theories, architectures, principles, and extract, transform, load (ETL) practices.
• Strong communication skills and ability to communicate complex data engineering concepts to technical and non-technical staff as well as translate business requirements into technical specifications.

A degree is not required. However, at least 7+ years of experience applying the outlined knowledge, skills, and abilities in a similar role may be considered.

Supervisory Responsibilities/Direct Reports: