Data Engineer at Geode Capital Management
Boston, MA 02110, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 25

Salary

0.0

Posted On

31 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Maintenance, Dbt, Computer Science, Data Modeling, Interpersonal Skills, Python, Database Design, Pipeline Development

Industry

Information Technology/IT

Description

Geode Capital Management is seeking a highly motivated Data Engineer to join our Data team. The engineer will report to the Director of Data Engineering. This role will focus on designing and building scalable data solutions, working closely with various operations teams, data analysts, architects, and business stakeholders. The Data Engineer will help Geode modernize cloud native data and analytics platform centered around technologies such as AWS, Snowflake, DBT, Airflow, and Python.
This role is based out of our office in Boston, Massachusetts and is required to follow the firm’s current hybrid work schedule: Tuesday, Wednesday and Thursday in-office, with the option to work Monday and Friday remote from home.

SKILLS YOU BRING:

  • A bachelor’s degree in computer science or a similar field
  • 5+ years of data and software engineering experience with a focus on development, implementation, and maintenance of data pipelines
  • Strong skills in data pipeline development using Python
  • Strong skills in data modeling, database design, and SQL development.
  • ETL/ELT development skills using DBT or Airflow.
  • Effective communication and interpersonal skills.
  • Experience working in the Asset management industry is a plus

How To Apply:

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Responsibilities
  • Build Modern Data pipelines to ingest, process and store enterprise data
  • Contribute to the design, development, and implementation of innovative data pipelines and solutions using AWS, DBT, Airflow, and Python
  • Continuously enhance data pipelines through automation, efficient unit testing and increasing test coverage and quality
  • Collaborate with the Data product lead, Scrum Masters, architects and development teams to build effective data ingestion and integration pipelines.
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