Data Engineer
New Hampshire Mutual Bancorp•Concord, NH
•$78,000 - $108,000•Hybrid
About The Position
New Hampshire Mutual Bancorp is seeking a hands-on Data Engineer to build and support scalable ELT pipelines, strengthen its enterprise data warehouse, and advance a modern, well-governed data estate. The role collaborates with data and technology partners across the organization and contributes to a community-focused financial institution. The position is hybrid based out of Concord, New Hampshire, with a Monday–Friday schedule from 8:00 a.m. to 5:00 p.m. The salary is negotiable based on experience, between $78,000 and $108,000.
Requirements
- Three to seven years of experience in data engineering, data warehousing, or data analysis; relevant internship experience qualifies.
- Intermediate SQL skills and experience with Python, Java, JavaScript, Scala, R, or a similar programming language.
- Experience with a cloud data platform such as Snowflake, Databricks, or BigQuery.
- Experience with a business intelligence tool such as Tableau or Power BI.
- Understanding of relational databases, APIs, web services, and common data formats.
- Knowledge of AI and machine learning concepts, including large language models and agentic AI.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Bachelor’s degree in computer science, computer information systems, data analytics, or a related field preferred.
Nice To Haves
- Experience with dbt, SnapLogic, Talend, Matillion, or Fivetran.
- Experience with Microsoft SQL Server, IBM Db2, or Oracle.
- Experience with Azure, AWS, or GCP.
- Experience in community banking or financial services.
Responsibilities
- Build, maintain, and optimize ELT pipelines for reliable, curated data assets.
- Create durable and scalable solutions to ingest data from internal, external, and hosted sources.
- Develop and enhance the enterprise data warehouse and agentic solutions that deliver business insights.
- Troubleshoot production issues and resolve support requests within service-level expectations.
- Partner with Data Owners, Data Stewards, and IT colleagues on new data analytics initiatives.
- Promote consistent data governance and information management practices across the data lifecycle.
Benefits
- Medical, dental, and vision coverage.
- 401(k) with company match.
- Paid time off.
- Paid parental leave.
- Tuition reimbursement.
- Professional development opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
