Responsible for designing, developing, and maintaining scalable data pipelines and infrastructure, implementing data governance, and collaborating with teams to meet data needs.
About the Role
We are seeking an experienced Senior Data Engineer to join our growing Data & Analytics team. This role will be responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support our organization’s data needs.
Specific Responsibilities:
- Design, develop, and maintain robust data pipelines and infrastructure to support data integration, processing, and storage
- Collaborate with analysts and other stakeholders to understand data requirements and translate them into technical solutions
- Implement best practices for data governance, security, and quality assurance to ensure the reliability and accuracy of data
- Explore and evaluate new technologies and tools to enhance our data infrastructure and capabilities
- Design and implement complex data models on Azure Synapse Analytics to support data warehousing Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management.
- Manage and optimize Apache Spark pools for high-performance data processing tasks.
- Develop and maintain ETL processes and data pipelines using Python scripting.
- Ensure data quality and integrity across all platforms and systems.
- Collaborate with cross-functional teams to translate business needs into technical specifications.
- Stay current with industry trends and advancements in Azure data services.
What you'll need:
- Bachelor’s degree in Computer Science, Engineering, or related field
- Minimum of 5+ years experience in data engineering roles, with a strong focus on building and maintaining data pipelines and infrastructure
- Strong proficiency in Azure Synapse Analytics, Azure DevOps, and Apache Spark pools.
- Expertise in Python scripting and other programming languages such as SQL and Java
- Senior level knowledge of data modeling, processes, and data warehouse concepts
- Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders
- Experience with data modeling, warehousing, and building ETL pipelines
- Familiarity with Azure Data Factory, Azure Data Lake Storage, and other Azure data services
Note for Current Employees:
Please use the internal job board in Greenhouse to apply. Applications submitted through this external link will not be tagged as internal.
Compensation, Benefits, & Additional Details:
Health-E Commerce's compensation philosophy is grounded in market data and internal equity to ensure fairness and consistency across the team. Individuals new to the company should generally expect offers to fall between the entry point and midpoint of the salary range. Our goal is to provide an offer that supports growth potential within the role and allows for future salary progression.
- Compensation: $130,000 - $165,000
- Discretionary Annual Bonus Eligibility: Up to 10%
- Medical, Dental, Vision, and 401K with a company match
- Dependent Care, FSA & HSA accounts
- Paid Parental & Bonding Leave
- Flexible PTO & office closure on all major holidays
- Monthly wellness & internet reimbursements
- Professional development including certification support & leadership coaching
- Mental Health resources
- 100% remote within the United States
- Must be able to work EST hours
Candidate Privacy Notice
Similar Jobs
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead product data engineering across architecture, data modeling, pipelines, monitoring, lineage, and data quality. Build reliable analytical datasets, support experimentation and machine learning use cases, and resolve business-critical pipeline issues. Partner with product and engineering stakeholders to translate business needs into automated data solutions. The role requires ownership of end-to-end data engineering projects, on-call participation, and development of AI-assisted monitoring and automation.
Top Skills:
AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Lead product data engineering initiatives by designing data models, owning critical pipelines, building data quality and lineage monitoring, and supporting experimentation and ML-ready datasets. Translate business needs into automated data solutions, maintain pipeline SLAs through on-call support, and develop AI-assisted tools for issue detection and resolution. Collaborate with Product, Engineering, Data Science, Machine Learning, and Applied AI teams across Block’s products.
Top Skills:
AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform
.png)
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Build and own scalable data platforms and ingestion pipelines using BigQuery, dbt, and modern ingestion tools. Design batch and CDC workflows, improve reliability and observability, implement governance and access controls, and support analytics and AI agents. Develop Python services and internal tooling, contribute to architecture and lakehouse experiments, collaborate with stakeholders, and mentor engineers. The role requires strong SQL, Python, cloud infrastructure, testing, CI/CD, and AI-assisted development experience.
Top Skills:
Ai Coding AgentsAmazon Web ServicesAPIsCdcCi/CdClaude CodeDbtEstuaryGitGoogle BigqueryGoogle Cloud PlatformHevoLakehouseMcpOpen Table FormatsPythonSQL
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
