Overview
On Site
USD 90,000.00 - 100,000.00 per year
Full Time
Skills
Recruiting
Reporting
Cloud Computing
Accessibility
Regulatory Compliance
Financial Services
Data Engineering
Python
SQL
Extract
Transform
Load
Apache Spark
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Data Warehouse
Database Design
Collaboration
Docker
Kubernetes
Apache Hadoop
Apache Kafka
Amazon Redshift
Data Modeling
Continuous Integration
Continuous Delivery
DevOps
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Analytics
Workflow
Professional Development
Job Details
A well-established credit union is hiring a Data Engineer to strengthen its technology team. This role focuses on building and optimizing pipelines that power reporting, analytics, and member-focused applications. You'll work with Python, SQL, and modern cloud platforms to deliver secure, reliable, and scalable data solutions that directly impact business outcomes.
You'll partner closely with analysts, engineers, and business stakeholders to design data systems that ensure accuracy, accessibility, and compliance. This position is ideal for someone who enjoys solving complex data challenges in a mission-driven financial services environment.
Full-time, hybrid position in Boston.
Required Skills & Experience
Preferred Skills
Role Breakdown
Perks
You'll partner closely with analysts, engineers, and business stakeholders to design data systems that ensure accuracy, accessibility, and compliance. This position is ideal for someone who enjoys solving complex data challenges in a mission-driven financial services environment.
Full-time, hybrid position in Boston.
Required Skills & Experience
- 3+ years in data engineering or a related discipline
- Strong Python and SQL skills for ETL and data transformation
- Hands-on experience with Airflow, Spark, or similar tools
- Familiarity with AWS, Azure, or Google Cloud Platform
- Knowledge of data warehousing principles and database design
- Clear communicator with cross-team collaboration skills
Preferred Skills
- Docker, Kubernetes
- Hadoop, Kafka, or Redshift
- Data modeling and schema design
- CI/CD pipelines and DevOps practices
- Exposure to ML pipelines or MLOps
Role Breakdown
- 50% Designing and developing data pipelines
- 30% Partnering with analytics/engineering teams
- 20% Monitoring, troubleshooting, and optimizing workflows
Perks
- $90k - $100k salary range
- Comprehensive health, dental, vision, and PTO
- Professional development and advancement opportunities
- Supportive, community-focused work culture
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.