Senior Data Engineer

Geode Capital•Boston, MA

41d•Hybrid

About The Position

Geode Capital Management is seeking a full-time Senior Data Engineer to join our Data team. The Senior Data Engineer will report to the Director of Data Engineering. This role will play a critical role in designing and building scalable data solutions, working closely with various operations teams, data analysts, and business stakeholders. The Senior Data Engineer will help Geode build a modern, cloud native data and analytics platform centered around technologies such as AWS, Snowflake, DBT, Snaplogic, and Python. This role is based in our office in Boston, Massachusetts. You are required to follow the firm’s policy on in-office attendance. Our current policy requires in-office attendance on Tuesday, Wednesday, and Thursday, and then provides an option to work remotely on Monday and Friday. Please note that Geode may alter this policy at any time.

Requirements

A bachelor’s or master’s degree in computer science or a similar field
10 + years of data and software engineering experience including technical leadership
Strong Python programming skills with a focus on data engineering and data pipeline development
Expertise in ELT development using DBT, Snowflake, Snaplogic or similar tools
Strong skills in data modeling, building operational data stores and data warehouses
Excellent SQL skills, developing SQL stored procedures and functions
Strong hands-on experience in designing, building and maintaining AWS native applications
Hands-on experience with scheduling tools such as Airflow or Control-M
Excellent communication and interpersonal skills.
Experience working in an Agile environment utilizing agile methodologies (Kanban and SCRUM) is a plus

Nice To Haves

Experience in data analytics building reports, dashboards, and visualizations with business intelligence tools such as Tableau or Power BI is a plus
Experience working in the Asset management industry is a plus

Responsibilities

Build best in class Data platform to ingest, process and store enterprise data for our business teams to gain insights into our data
Contribute to the design, development, and implementation of software and data solutions
Continuously enhance data pipelines through automation, expanded yet increasingly efficient unit testing and increasing test coverage, ultimately optimizing time-to-market and quality
Collaborate with development team in building innovative, event driven, cloud native solutions using AWS, Snowflake, DBT, Snaplogic, and Python
Collaborate with the product area owner, data product leads, Scrum Masters, and development teams to build effective data ingestion and integration pipelines
Mentor new or junior team members and participate in code reviews
Iteratively deliver high-quality products to enable our investment business, operations, analytics, and client reporting