Data Engineer

Job Description Our client is expanding their Data & Analytics (D&A) capabilities to support Distribution for Data Analytics and are building a new team of engineers. As a Senior Data Engineer, you will work closely with the Product Manager and Analytics Consultant to develop robust data solutions. This role is ideal for an experienced engineer with a passion for backend data work and hands-on development. Key Responsibilities : Develop curated data products for analysts using ETL (Extract, Transform, Load) processes. Work both independently and collaboratively, depending on feature size and existing skillsets. Consult with analysts exploring AWS services and provide technical guidance. Utilize Python, AWS, and Snowflake as primary tools for data engineering tasks. Mentor team members and ensure adherence to best practices in data engineering. Utilize ERWIN modeling (preferred) for data architecture and modeling. Collaborate with multiple departments to share and receive enterprise data, requiring strong communication and partnering skills. Support high-discovery work alongside hands-on development, building credibility in this new space. Required & Preferred Skills : Preferred Skills : Python SQL AWS Data Integration (Athena, Glue, Python) Nice-to-Have Skills : Data extraction through APIs Snowflake experience ERWIN modeling AWS SageMaker, Informatica, GitHub We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship / immigration status, veteran status, or any other status protected under federal, state, or local law.