Data Engineer

Reinsurance Group of America•Chesterfield, MO

1d•$78,080 - $110,860

About The Position

We are seeking a Data Engineer to design, develop, and maintain scalable data solutions that support business intelligence, analytics, and operational data needs. The ideal candidate will have hands-on experience with Python, Snowflake, dbt, Atlan, and OPUS EDM/Markit EDM, with a strong understanding of data modeling, ETL/ELT development, data governance, metadata management, and cloud-based data platforms. This role will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, integrating data across enterprise systems, and supporting data cataloging and lineage initiatives. The successful candidate will collaborate closely with business stakeholders, analysts, and engineering teams to deliver trusted, well-governed data products. Experience within the reinsurance, insurance, or financial services industries is highly desirable, particularly familiarity with investment, market, or reference data management processes. Strong problem-solving skills, attention to detail, and the ability to work effectively in a collaborative environment are essential.

Requirements

Bachelor’s Degree in Arts/Sciences (BA/BS) or equivalent education/ experience Required
1+ Years big data or relevant experience Required
1+ years experience with cataloging, modeling, ingestion, processing, and streaming technologies and processes Required
Ability to solve moderately complex problems, drawing upon technical experience, precedents, and judgement. Demonstrated ability to quickly learn new technologies. Required
Strong interpersonal skills. Strong communication skills, including ability to explain complex information in straightforward situations Required
JavaScript technologies (eg, jQuery, Angular, React and Nodejs) Required
HTTP, SSL/TLS, REST, SQL, JSON, and Excel Required
AIX/Linux, Websphere, Weblogic, Tomcat, JBOSS Required
MySQL, Oracle, SOLR, NoSQL, Postgres, Mongo DB and Hive Required
Continuous Integration Tools (eg, CruiseControl, Continuum, Travis) Required
Test Driven Development processes and tooling (eg, JUnit, Mocha, Jasmine, Protractor) Required
DevOps-style deployment tools (eg, Docker, Ansible, Vagrant) Required

Nice To Haves

Master’s degree in Arts/Sciences (MA/MS) Preferred
Experience with business intelligence and/ or data warehouse technologies and processes Preferred
LOMA certification Preferred

Responsibilities

Creates and supports the process to pull the information from source systems and place it into the data lake
Performs big data design and testing, including data design, big data architecture, catalog, and repository creation
Designs, develops, and maintains the big data technologies and architectures
Assists with the creation of data lake schematics and layouts
Implements effective metrics and monitoring processes, as directed
Applies existing standards, processes, and procedures to big data systems
Acts as a resource for colleagues with less experience
May work with business and IT stakeholders to optimize information by defining business requirements and populating the data lake
Performs other duties as assigned