Demo

BI Data Engineer II

The Boston Beer Company
Boston, MA Full Time
POSTED ON 1/17/2026 CLOSED ON 2/15/2026

What are the responsibilities and job description for the BI Data Engineer II position at The Boston Beer Company?

Job Description

We are currently hiring a Full-Time BI Data Engineer II hybrid* in Boston, MA.

Join our Boston-based Data and Analytics (DnA) team and play a key role in building and evolving our Enterprise Data Platform. This position offers the opportunity to work across a wide range of data engineering initiatives, delivering high-impact analytics solutions that directly support business decision-making and strengthen our data ecosystem. As a multi-faceted role, you’ll collaborate closely with stakeholders while owning the full data engineering lifecycle—from requirements gathering and solution design through development, testing, deployment, and ongoing support. You’ll work hands-on with modern technologies including the Databricks Lakehouse platform and our On-Premise SQL data warehouse to build scalable, reliable data pipelines, analytical data models, and contribute to platform and architecture work.

We are moving toward domain-oriented team, and this position will be primarily assigned to one or more business areas (to be determined), giving you the opportunity to understand specific business needs while contributing to enterprise-wide solutions.

This role is ideal for someone eager to grow their expertise in Databricks, Spark, Delta Lake, and cloud integrations, while contributing to enterprise-level data quality, governance, platform improvements, and production-ready solutions in a collaborative, fast-paced environment.

  • A Hybrid position at Boston Beer requires that our coworkers reside within commuting distance to be onsite 3 days/week.

What You'll Brew:

  • Serve as a Databricks-first data engineer, designing, building, and supporting scalable Lakehouse data pipelines (ETL/ELT) using Spark and Delta Lake.
  • Develop and maintain Databricks notebooks, workflows, and jobs, with secondary support for On-Premise SQL Server integrations.
  • Build analytics-ready data models in Databricks, supporting limited dimensional and reporting models on SQL Server as needed.
  • Drive data ingestion, migration, and integration between Databricks and On-Premise systems as part of platform modernization.
  • Collaborate with analysts, data scientists, business stakeholders, and all teams under the Data Enterprise organization (including Data Operation and MDM) to translate requirements into scalable, maintainable solutions
  • Optimize Spark jobs and Databricks workflows for performance, reliability, and cost efficiency.
  • Implement enterprise data quality checks, security best practices, and governance standards across Databricks and SQL environments.
  • Support production pipelines with CI/CD and automated deployment for reliable, repeatable releases.

What Ingredients You'll Bring:

Minimum Qualifications:

  • Bachelor's Degree in Computer Science, or a closely related field, or the equivalent
  • Databricks and Spark: 2–5 years of hands‑on experience with Databricks notebooks, Spark transformations, and Delta Lake for scalable
  • Programming & SQL: Strong Python, Scala, and SQL skills for building and maintaining data pipelines.
  • CI/CD & Automation: Exposure to automated deployment pipelines using tools such as Azure DevOps and Databricks Asset Bundles (DABs) for reliable, production-ready workflows.
  • Data Quality & Governance: Understanding of enterprise data quality checks, security practices, and governance frameworks.
  • Collaboration & Problem-Solving: Ability to work effectively with analysts, stakeholders, and cross-functional teams to troubleshoot and optimize pipelines.

Preferred Qualifications:

  • Data Modeling: Familiarity with dimensional modeling and Power BI for analytics-ready datasets.
  • ETL/ELT & SQL Server: Experience designing, developing, and supporting relational database pipelines and SSIS workflows.
  • AI & Analytics: Experience or familiarity with AI, machine learning, or analytics frameworks is a plus.
  • Domain & Systems Knowledge: Knowledge of CPG, Supply Chain processes, Salesforce, or SAP is a plus.
  • Collaboration & Project Tools: Experience with Jira and Confluence for project tracking, documentation, and team collaboration
  • Scripting: PowerShell experience is a plus.

Level: 7

At the Boston Beer Company and in accordance with pay transparency laws, we are open about our salary ranges. For this role, the salary range is between $97,000 and $163,000. However, it’s important to note that where the person hired starts in this range is dependent on their related experience, skillset and location. Additionally, this position qualifies for a discretionary annual bonus based on company and individual performance, and certain sales roles might include a car allowance.

Some Perks:

Our people are our most important “ingredient.” We hire the best talent; and we reward, develop, and retain them too.

In addition to generous healthcare on day one, stock purchase plan, 401k and more, Full Time Boston Beer Coworkers have the following perks available*:

  • Tuition reimbursement
  • Fertility/adoption support
  • Free financial coaching
  • Health & wellness program and discounts
  • Professional development & training
  • Free beer!
  • Talk to your recruiter about eligibility

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Fair Chance Ordinance and the CA Fair Chance Act.

Boston Beer Corporation is an equal opportunity employer and is committed to a diverse workforce. In order to help ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who wish to request accommodation in the job application process can contact jobs@bostonbeer.com for assistance.

Salary : $97,000 - $163,000

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