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JOB DETAILS

Data Analytics Engineer

CompanyQuincy Credit Union
LocationQuincy
Work ModeOn Site
PostedAugust 24, 2026
About The Company
With a history of reliability and loyalty, Quincy Credit Union is proud to be celebrating 80 years of providing outstanding financial service to its members. From competitive interest rates and many no-fee products and services, it remains our commitment every day to help members meet their financial goals. At QCU, we are dedicated to providing exceptional service as part of our “people helping people” business philosophy. Because no matter what, at Quincy Credit Union, we care about the community, and we care about our members. *Non-deposit investment products and services are offered through CUSO Financial Services, L..P. (“CFS”), a registered broker-dealer (Member FINRA/SIPC) and SEC Registered Investment Advisor. Products offered through CFS: are not NCUA/NCUSIF or otherwise federally insured, are not guarantees or obligations of the credit union, and may involve investment risk including possible loss of principal. Investment Representatives are registered through CFS. The Credit Union has contracted with CFS to make non-deposit investment products and services available to credit union members.
About the Role

Description

Quincy Credit Union is seeking a Data Engineer to help grow and support its modern data and analytics platform, which includes Dagster, Coalesce, Snowflake, Sigma, and HubSpot. The platform supports regulatory reporting, Member 360, business intelligence, marketing engagement, and early AI work using Snowflake Cortex. 

This role is the first dedicated hire into the data team and will work closely with the engineer who built the platform. The Data Engineer will have hands-on ownership across the full data stack, from raw ingestion and warehouse modeling to dashboards, HubSpot syncs, and business-facing data products.  This is an on-site position in Quincy, MA. 


Key Responsibilities 

  • Build and maintain end-to-end data pipelines for new source systems, including ingestion, transformation, and modeled tables in Snowflake. 
  • Develop the transformation layer in Coalesce, turning raw data into reliable tables that support credit union operations. 
  • Support the continued build-out of Member 360, unifying data from core banking, digital banking, lending, and CRM systems. 
  • Create observability tools, monitoring, and dashboards to surface pipeline health and identify issues before they become incidents. 
  • Partner with Lending, Operations, and Marketing to translate business questions into Sigma dashboards and HubSpot syncs. 
  • Grow over time into deeper technical specialization, broader platform ownership, or more analytics-focused work based on strengths and interest. 

Requirements

  • 2 to 4 years of professional experience in data engineering, analytics engineering, BI engineering, or a similar role. 
  • Strong SQL skills, including CTEs, window functions, joins, and experience with a cloud data warehouse such as Snowflake, BigQuery, Redshift, Databricks, or similar. 
  • Working Python skills, including comfort with file parsing, API calls, data cleaning, virtual environments, and dependency management. 
  • Experience using Git, writing clear commit messages, and working with pull requests. 
  • Clear written communication and a willingness to document technical decisions. 
  • Curiosity about how systems work and the ability to investigate issues thoughtfully. 
  • No specific degree is required. A technical degree or equivalent hands-on experience is acceptable. 

Preferred Qualifications 

Experience with any of the following is helpful but not required: dbt, Coalesce, Dagster, Airflow, Prefect, dlt, Fivetran, Airbyte, Stitch, Snowflake, financial services, banking, credit unions, fintech, Sigma, Looker, Tableau, Power BI, HubSpot, or other CRM and marketing automation platforms.


Quincy Credit Union is an Equal Opportunity Employer. We are committed to providing a workplace where all qualified applicants and employees are treated with respect and have equal opportunities for employment, advancement, and professional development. Employment decisions are based on qualifications, skills, experience, and business needs. 

Key Skills
SQLPythonSnowflakeData EngineeringCoalesceDagsterSigmaHubSpotData PipelinesGitData ModelingAPIObservabilityBusiness IntelligenceCRMData Warehousing
Categories
Data & AnalyticsTechnologySoftwareFinance & AccountingEngineering
Job Information
📋Core Responsibilities
The Data Analytics Engineer will build and maintain end-to-end data pipelines and transformation layers using Snowflake and Coalesce. They will also partner with internal departments to develop dashboards and data products that support credit union operations.
📋Job Type
full time
💰Salary Range
$66,170 - $82,700
📊Experience Level
2-5
💼Company Size
70
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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