Job Description
Our client is seeking a Senior Data Engineer to play a key role in the buildout and evolution of a modern, cloud-based data platform supporting enterprise analytics and reporting. The role sits within a growing engineering organization responsible for designing, building, and scaling data infrastructure used across the business.
This position offers the opportunity to contribute to a high-impact, enterprise data initiative where engineering work directly supports decision-making and operational efficiency. The team is focused on transforming complex, distributed data into reliable, application-ready assets. You will work closely with other engineers and business stakeholders, gain exposure to large-scale data systems, and help shape long-term platform architecture and best practices.
This is a hybrid role in Boston, MA.
Required Skills & Experience
- Bachelor's degree in Computer Science, Engineering, or a related field
- 5+ years of experience in data engineering or related roles
- Strong SQL skills and experience with relational database design and optimization
- Hands-on experience building and maintaining ETL/ELT pipelines
- Solid understanding of data modeling, data quality, and governance concepts
- Proficiency in Python and at least one additional modern programming language
- Experience with cloud data platforms (AWS, Azure, or Google Cloud Platform)
- Familiarity with modern data warehousing or lakehouse technologies
- Experience with workflow orchestration tools
- Strong analytical and troubleshooting skills
- Clear communication skills and ability to collaborate across teams
Desired Skills & Experience
- Experience working with enterprise-scale data platforms
- Exposure to metadata-driven or ontology-based data modeling approaches
- Familiarity with real-time or streaming data technologies
- Experience supporting analytics, reporting, or downstream data consumers
- Knowledge of data visualization or BI tools
- Exposure to machine learning data preparation or workflows
- Experience working with global or multi-region data systems
- Background mentoring junior engineers or contributing to engineering standards
What You Will Be Doing
- Design, develop, and maintain scalable data pipelines and processing systems
- Automate and improve data workflows for reliability and efficiency
- Optimize database performance to support analytics and reporting use cases
- Design and implement data storage solutions including warehouses and data lakes
- Monitor and support data infrastructure for performance and stability
- Implement data validation and quality controls
- Contribute to data governance and compliance initiatives
- Collaborate with engineers, analysts, and stakeholders across the organization
- Provide technical guidance and mentoring to junior team members
- Evaluate and recommend new data tools and technologies
Tech Breakdown
- 35% Cloud Data Platforms & Infrastructure
- 25% SQL, Data Modeling & Optimization
- 25% ETL / ELT Pipelines & Orchestration
- 15% Python & Platform Engineering
Daily Responsibilities
- 70% Hands-On Engineering
- 20% System Design & Optimization
- 10% Team Collaboration
The Offer
You will receive the following benefits:
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k) (including match, if applicable)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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