Senior Data Engineer
About The Position
The Senior Data Engineer develops and leads the MPH data engineering strategy, shaping modern integration practices and resolving enterprise challenges related to data quality, stewardship, and data movement. This role architects and implements scalable data pipelines across diverse sources, leveraging cloud platforms, ETL tooling, and advanced engineering methods to support analytics, reporting, and cross-system synthesis. This position requires an understanding of cloud architecture and data engineering in AWS and/or Azure. The position contributes to data governance by implementing and enforcing data management policies, and design standards, while also guiding solution design alongside architects, project managers, and data science teams. Serving as both a technical expert and mentor, the Senior Data Engineer provides oversight on complex projects, communicates technical concepts to non‑technical stakeholders, and drives continuous improvement across the data engineering function.
Requirements
- 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
- 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.
Nice To Haves
- Related certifications and coursework may be considered for education or experience.
Responsibilities
- 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.
Benefits
- Three (3) medical plan options (including RX coverage) as well as vision and dental plans
- Wellness Rewards Program: Complete wellness activities to earn gift card rewards
- Health savings account, which includes bi-weekly state contribution
- Deferred compensation 457(b) account (similar to 401(k) plan) with employer match
- Two (2) fully-funded pension plan options
- A robust, comprehensive program of leave policies covering a variety of employee needs, including but not limited to: 150 hours of paid New Parent Leave and up to eight weeks of paid Childbirth Recovery Leave for eligible mothers
- Up to 15 hours of paid community service leave
- Combined 180 hours of paid vacation, personal, and sick leave time off
- 12 paid holidays, 14 in election years
- Education Reimbursement Program
- Group life insurance
- Referral Bonus program
- Employee assistance program that allows for covered behavioral health visits
- Qualified employer for the Public Service Loan Forgiveness Program
- Free Parking for most positions
- Free LinkedIn Learning access
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What This Job Offers
Job Type
Full-time
Career Level
Senior
