Data Engineer

Geode Capital Management
Boston, MA, United States
28 days ago
Apply on us.experteer.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Airflow Amazon Web Services Code Coverage Extract Transform Load (ETL) Database Design Database Development Python (Programming Language) Scrum Methodology Cloud Services Software Engineering Data Ingestion Snowflake
+4 more
Build Management Information Technology Data Analytics Data Pipelines

Job description

Experteer Overview In this role you will design and build scalable, cloud-native data solutions to support Geode’s data and analytics platform. You will work closely with data analysts, architects, and business stakeholders to deliver robust pipelines using Python, DBT, Snowflake, and AWS. The position blends development, automation, and testing to improve data ingestion and quality. You join a Boston-based team with a flexible in-office policy and a mission to empower data-driven decisions. Compensation / Benefits * Build modern data pipelines to ingest, process and store enterprise data * Design, develop, and implement data pipelines using Python, DBT, Airflow, Snowflake and AWS * Automate pipelines and increase test coverage and quality * Collaborate with the Data product lead, Scrum Masters, architects and development teams to enable data ingestion and integration pipelines Tasks * Bachelor’s degree in computer science or a similar field * 5+ years of data and software engineering experience * Strong Python-based data pipeline development * Strong data modeling, database design, and SQL development * ETL/ELT development using DBT and Python * Effective communication and interpersonal skills * Experience in asset management is a plus Key requirements * comprehensive health coverage * 401(k) matching * annual profit sharing * paid parental leave * tuition and certification reimbursement * hybrid work arrangements

Requirements

Experteer Overview In this role you will design and build scalable, cloud-native data solutions to support Geode’s data and analytics platform. You will work closely with data analysts, architects, and business stakeholders to deliver robust pipelines using Python, DBT, Snowflake, and AWS. The position blends development, automation, and testing to improve data ingestion and quality. You join a Boston-based team with a flexible in-office policy and a mission to empower data-driven decisions. Compensation / Benefits * Build modern data pipelines to ingest, process and store enterprise data * Design, develop, and implement data pipelines using Python, DBT, Airflow, Snowflake and AWS * Automate pipelines and increase test coverage and quality * Collaborate with the Data product lead, Scrum Masters, architects and development teams to enable data ingestion and integration pipelines Tasks * Bachelor’s degree in computer science or a similar field * 5+ years of data and software aaaaaaa data experience * Strong Python-based data pipeline development * Strong data modeling, database design, and SQL development * ETL/ELT development using DBT and Python * Effective communication and interpersonal skills * Experience in asset management is a plus Key requirements * comprehensive health coverage * 401(k) matching * annual profit sharing * paid parental leave * tuition and certification reimbursement * hybrid work arrangements

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on us.experteer.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

5:32 min

Avoiding the trap of testing private code for coverage

Golo Roden · World Congress 2021

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

4:05 min

Analyzing different code coverage metrics and limitations

Michael Contento · World Congress 2023

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all