Data Engineer IV role in Springfield, MA (hybrid) with Farm Credit Financial Partners.

Lead and architect enterprise-scale data engineering initiatives within a matrix project structure.
Set strategic direction for the design, enhancement, and long-term support of data platforms.
Drive organizational data engineering strategy by refining processes, automating manual tasks, improving data delivery, and redesigning infrastructure for scalability.
Build and optimize the infrastructure for efficient extraction, transformation, and loading of data from diverse sources.
Oversee engineering standards through code reviews to maintain quality and best practices.
Shape enterprise-wide data governance policies with senior leadership, covering data quality, data management, policies, business process management, and risk handling.
Perform other related duties as assigned.
Coach and mentor junior engineers.
Communicate technical direction effectively to senior leadership and cross-functional stakeholders; foster innovation and process improvement during development.
Demonstrate thought leadership in data engineering practices and enterprise data strategy.

Bachelor's degree in computer science or MIS.
10+ years of experience in data modeling and cloud technologies.
Expert with Azure stack including Databricks, Data Factory, SQL, Python, and Power BI.
2+ years of leading large, distributed technical teams.
Ability to work comfortably in both Agile and Waterfall methodologies.
Strong organizational, analytical, and communication skills.
Proficiency in Microsoft Office Suite.
Strong customer service orientation for data consumers.
Familiar with software development best practices.
Knowledge of Artificial Intelligence concepts and technologies, including or similar to ChatGPT, Claude, Windsurf, Perplexity AI, Grok, Gemini.

Competitive earnings
Hybrid and remote work options
Tuition reimbursement
Generous 401(k) matching
Development opportunities through company-sponsored trainings and certifications

Must be able to report to work in person and attend work-related functions.
Work at a desk and use a computer for extended periods.
Occasionally lift, carry, and move objects up to 10 pounds.
Occasional travel as required.
Type and use various software programs; operate general office equipment.
Work in an office setting with moderate noise levels.
Physical demands include frequent talking or hearing, occasional push/pull, stoop/kneel, bend/twist, and reach.
Work scheduled hours and overtime as needed.
Hybrid arrangement (work from home on Mondays and Fridays, in-office Tue–Thu) or remote arrangement; exceptions possible; designation may change by business needs.
Concentrate on details when reviewing documents and analyzing data; manage multiple tasks and deadlines with accuracy.
Problem-solve efficiently and make sound decisions; manage work-related stress and interactions.
Communicate ideas clearly in verbal and written form; collaborate with others in a collegial manner.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.

Data Engineer IV

Job Description