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# Sr. BI Data Engineer

- **Company:** Boston, Inc.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $120,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Application Frameworks, Automation of Tests, Microsoft Azure, System Configuration, Continuous Integration, Data as a Services, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Distributed Computing Environment, Python (Programming Language), Key Management, Machine Learning, Microsoft SQL Server, SAP ERP, Power BI, Azure Data Lake, Salesforce.Com, SQL Databases, Software Technical Review, Cloud Platform System, Feature Engineering, Data Ingestion, Azure Data Factory, Sql Optimization, Apache Spark, Git, Data Lakes, Information Technology, Semantic Modeling, Data Pipelines, Databricks
- **Published:** October 28, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88717881/1

## About the Role

* Bachelor's degree in Computer Science, a closely related field, or equivalent practical experience.
 * 7+ years of experience in data engineering, data warehousing, data integration, analytics engineering, or related technology roles.
 * 3+ years of hands-on Databricks development experience supporting production environments.
 * Strong expertise with Databricks Lakehouse, Apache Spark, Delta Lake, Databricks Workflows, Unity Catalog, and distributed data processing.
 * Experience working with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake Storage, and Azure Key Vault.
 * Advanced SQL and Python skills with experience building, operating, and optimizing complex ETL/ELT pipelines and analytical data models.
 * Experience with modern DevOps and data engineering practices, including Git-based development, automated testing, CI/CD, orchestration, monitoring, security, governance, and production support.
 * Demonstrated ability to lead technical solution design, evaluate technical trade-offs, and independently deliver complex data initiatives.
 * Strong communication and collaboration skills with experience providing technical guidance to engineering teams., * Experience with advanced Databricks capabilities, including Databricks Asset Bundles, workspace administration, platform configuration, and governance.
 * Experience with Power BI semantic modeling, reporting enablement, and analytics consumption patterns.
 * Experience modernizing legacy SQL Server data solutions to cloud-based platforms.
 * Familiarity with artificial intelligence (AI), machine learning (ML), feature engineering, or model-ready data products.
 * Knowledge of SAP, Salesforce, Supply Chain, Manufacturing, or consumer packaged goods business processes.

## Description

As a Senior BI Data Engineer, you will design, build, and optimize enterprise-scale data solutions that power analytics and business decision-making across Boston Beer. You will work hands-on with Databricks, Azure data services, and modern data engineering practices to deliver reliable, scalable, and high-performing data products. In this role, you'll partner with stakeholders across multiple business functions while helping drive platform modernization, engineering excellence, and technical innovation.
, Responsibilities
What You'll Brew:

 * Design, build, and support scalable Databricks Lakehouse data pipelines using Apache Spark, Delta Lake, Structured Query Language (SQL), and Python.
 * Lead technical design and delivery for complex data initiatives that span multiple systems, platforms, and business functions.
 * Diagnose production issues, perform root cause analysis, evaluate technical alternatives, and implement solutions that improve reliability, scalability, and maintainability.
 * Develop reusable frameworks and engineering practices for data ingestion, transformation, orchestration, testing, monitoring, data quality, and production support.
 * Administer and support Databricks platform capabilities, including workspace configuration, Unity Catalog, permissions management, and data governance.
 * Design and manage production workflows, including scheduling, dependency management, monitoring, alerting, and failure recovery.
 * Implement continuous integration and continuous deployment (CI/CD) processes using Azure DevOps, Git-based development workflows, and Databricks Asset Bundles.
 * Collaborate with business stakeholders, analytics teams, and technology partners to define requirements and deliver impactful data solutions.
 * Optimize data pipelines, compute resources, and storage for performance, observability, reliability, and cost efficiency while supporting modernization of legacy SQL Server solutions.
 * Mentor engineers, conduct code and design reviews, and contribute to continuous improvements in engineering standards and practices.
 * Work in a standard office environment with occasional travel as needed to support business objectives and team collaboration.