Sr. Data Engineer
Indexed description
This role follows a hybrid schedule, with onsite Tuesday–Thursday in Boston and remote work on Mondays and Fridays.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and enterprise data platforms
- Develop cloud-native data solutions using AWS, Snowflake, dbt, SnapLogic, and Python
- Build and optimize ELT pipelines, data warehouses, and operational data stores
- Automate data workflows, testing, and deployment processes
- Partner with business stakeholders, data analysts, and engineering teams to deliver high-quality data solutions
- Mentor junior engineers and participate in code reviews
- Collaborate in an Agile environment to deliver scalable, reliable data products
- 10+ years of Data Engineering or Software Engineering experience
- Strong Python and SQL skills
- Expertise with Snowflake, dbt, and modern ELT development
- Experience building cloud-native applications in AWS
- Strong data modeling, data warehousing, and pipeline development experience
- Experience with workflow orchestration tools such as Airflow or Control-M
- Excellent communication and collaboration skills
- Experience with SnapLogic
- Tableau or Power BI experience
- Agile/Scrum experience
- Background in asset or investment management
*MONATG*
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