Senior Data Engineer

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 GCP)

• 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

• Bonus eligible

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.