Data Engineer IV
Manager
Analytics
Artificial Intelligence
Automation Developer
Azure
Azure Data Factory
Azure Data Platform
Big Data
Bigdata
Business Analytics
Business Intelligence
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Engineer
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Analytics Tools
Data Architecture
Data Engineer
Data Engineering
Data Factory
Data Factory Azure
Data Integration
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Databricks
Digital Marketing
ETL
Hr Technology
Informatica
Information Technology (IT)
Integration
Microsoft
Microsoft Azure
Microsoft Office
Microsoft Power Platform
Power BI
Power Platform
Programming
Programming Language
Programming Languages
Reporting and Analytics
Software Development
SQL
Visual Design
Job Description
Farm Credit Financial Partners offers a hybrid work setup in Springfield, MA, with options that support focus and flexibility. In this role, you will help shape enterprise data platforms, lead technical teams, and drive governance and engineering standards that improve how data is delivered across the organization. You’ll also have access to tuition reimbursement, development opportunities through company-sponsored trainings and certifications, and generous 401(k) matching, along with competitive earnings.
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 such as automating manual workflows, optimizing data delivery, and redesigning infrastructure for greater scalability
- Build and optimize infrastructure for extraction, transformation, and loading (ETL) from a wide variety of data sources
- Oversee engineering standards through code reviews to maintain quality and best practices
- Shape enterprise-wide data governance policies by partnering with senior leadership and stakeholders across data quality, data management, data policies, business process management, and risk management related to organizational data
- Perform other related duties as assigned
Requirements
- Bachelor's degree in computer science or MIS, plus 10+ years of experience in data modeling and cloud technologies
- Expertise with the Azure technology stack, including Databricks, Data Factory, SQL, Python, and Power BI (Business Intelligence)
- 2+ years leading large, distributed technical teams and actively interfacing with senior leadership teams
- Ability to work comfortably in both Agile and Waterfall methodologies
- Strong organization, analytical, and communication skills
- Proficiency in the Microsoft Office Suite
- Strong customer service focus (treating data consumers as customers)
- Familiarity 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 attend work-related functions/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
- Must be able to work scheduled hours and overtime as needed
- Ability to concentrate 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
Technologies
- Azure, Databricks, Data Factory, SQL, Python, Power BI
- Microsoft Office Suite
- ChatGPT, Claude, Windsurf, Perplexity AI, Grok, Gemini
Benefits
- Competitive earnings
- Hybrid and remote work options
- Tuition reimbursement
- Generous 401(k) matching
- Development opportunities through company-sponsored trainings and certifications
Essential Functions
- Ability to report to work in person and attend work-related functions/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
- Must be able to work scheduled hours and overtime as needed
- Hybrid designation: work from home on Mondays and Fridays; work in the office on Tuesday, Wednesday, and Thursday (remote role means working entirely offsite). Exceptions may be made based on business needs, and the company may change the designation at any time
- Additional physical demands may include frequent talking or hearing, occasional push/pull, stoop/kneel, bend/twist, and reach to retrieve or move items in a typical office environment
- Ability to concentrate on details, manage multiple tasks and deadlines, problem-solve, and communicate clearly
- Ability to work with others in a collegial and collaborative manner
Reasonable Accommodation
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.