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Data Engineer IV
Remote / Online - Candidates ideally in
Springfield, Hampden County, Massachusetts, 01119, USA
Listed on 2026-05-07
Springfield, Hampden County, Massachusetts, 01119, USA
Listing for:
Theuniversityunion
Full Time, Remote/Work from Home
position Listed on 2026-05-07
Job specializations:
-
IT/Tech
Data Engineer
Job Description & How to Apply Below
- Base Pay $ - $ / Year
- Job Category Data Engineering
- Employee Type Full-Time
- Required Degree 4 Year Degree
- Manage Others No
The Data Engineer IV is responsible for transforming data so it can be easily analyzed. The position will be responsible for expanding and optimizing data and data pipelines for our Association partners. The Data Engineer IV primarily works with project teams on developing new data platforms to support strategic initiatives in alignment with business and/or enterprise strategies.
DUTIES AND RESPONSIBILITIES- Lead and architect an enterprise-scale data engineering project team in a matrix organization.
- Provide strategic direction for the design, enhancement, and long‑term support of data platforms.
- Drive organizational data engineering strategy by influencing processes including automating manual processes, optimizing data delivery, re‑designing infrastructure for greater scalability, etc.
- Build and optimize the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Oversee engineering standards through code reviews to ensure quality and best practices are maintained.
- Shape enterprise‑wide data governance policies, partnering with senior leadership and stakeholders on data quality, data management, data policies, business process management, and risk management surrounding the handling of organizational data.
- Other related duties as assigned.
- Coach and mentor junior engineers.
- Effectively communicate technical direction to senior leadership and cross‑functional stakeholders. Foster an innovative team culture and process improvement during the development phase.
- Demonstrate thought leadership in data engineering practices and enterprise data strategy.
- Bachelor's degree in computer science or MIS, and 10+ years’ experience in data modeling and cloud technologies. Expert with the Azure technology stack including Databricks, Data Factory, SQL, and Python.
- 2+ years of leading large, distributed technical teams as well as actively interfacing with senior leadership teams.
- Ability to work comfortably in both Agile and Waterfall methodologies.
- Strong organization, analytical, and communication skills.
- Proficiency with Microsoft Office Suite.
- Strong customer service focus (data consumers as customers).
- Familiar with software development best practices.
- Knowledge and proficiency in Artificial Intelligence concepts and technologies, including or similar to ChatGPT, Claude, Windsurf, Perplexity AI, Grok, Gemini.
- Ability to report to work in person and to attend work‑related functions and activities.
- Ability to work at a desk and use a computer for extended periods.
- Ability to lift, carry, and move objects up to 10 pounds occasionally.
- Ability to occasionally travel as required.
- Ability to type and utilize various software programs efficiently and operate general office equipment.
- Ability to work in an office setting with moderate noise levels.
- Additional physical demands include, but may not be limited to, frequent talking or hearing, occasional push/pull, stoop/kneel, bend/twist, and reach to retrieve or move items in a typical office environment.
- Must be able to work scheduled hours and overtime as needed.
- This role has been designated as either a hybrid role, which gives employees the opportunity to work from home on Mondays and Fridays and working in the office on Tuesday, Wednesday, and Thursday, or a remote role, which means the employee will work entirely offsite.
- Ability to concentrate and focus on details when reviewing documents, analyzing data, and performing computer‑based tasks.
- Ability to manage multiple tasks and deadlines while maintaining accuracy and efficiency.
- Ability to problem‑solve efficiently and make sound decisions.
- Ability to manage job‑related stress and interactions with clients, colleagues, or external parties.
- Ability to communicate ideas clearly in both verbal and written form.
- Ability to work with others in a collegial and collaborative manner.
Reasonable accommodations may be made to enable individuals with disabilities to…
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