Data Engineer I

This is an entry-level, hands-on role on the Enterprise Data team. You will help develop client data architecture and its Snowflake data platform, working with data architects, analysts, data scientists, software engineers, and business stakeholders to deliver accurate, secure, and trusted data. It is a strong fit for an early-career engineer who wants to grow in data engineering within a regulated financial services company.

Must Have

•      Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or related field (or equivalent experience)

•      0-2 years in data engineering, software development, database development, or analytics (internships, co-ops, and projects count)

•      SQL and relational databases

•      Data structures, data integration, and data warehousing concepts

•      ETL/ELT fundamentals

•      Ability to learn new technologies quickly

•      U.S. work authorization without sponsorship

Required Qualifications

•      Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related field; equivalent education, training, or experience may be considered

•      0-2 years of experience in data engineering, software development, database development, analytics, or a related technical field

•      Internship, co-op, academic, project, or other hands-on experience with data, programming, databases, or technology may be considered in place of professional experience

•      Foundational understanding of relational databases, data structures, data integration, and data warehousing

•      Demonstrated ability to learn new technologies, tools, and technical concepts

•      Strong analytical, problem-solving, and troubleshooting skills, with attention to detail and data accuracy

•      Effective written and verbal communication and the ability to work with technical and business teams

•      Ability to organize work, manage priorities, and meet deadlines

•      Authorized to work in the United States without current or future visa sponsorship

Preferred Qualifications

•      Working knowledge of SQL

•      Basic programming experience with Python, Java, or Scala

•      Understanding of ETL/ELT processes, data modeling, data warehousing, and dimensional modeling

•      Exposure to Snowflake or other cloud data platforms

•      Exposure to AWS, Microsoft Azure, or Google Cloud Platform

•      Familiarity with orchestration tools such as Apache Airflow

•      Basic knowledge of Git or other version control systems

•      Familiarity with Linux/Unix environments

•      Basic understanding of REST APIs and data formats such as JSON and XML

•      Understanding of data quality, data integrity, data security, and data governance principles

•      Familiarity with software development practices such as testing, debugging, and documentation

•      A completed academic or personal data project using SQL, Python, or another language

•      Entry-level certifications or coursework in AWS, Azure, Google Cloud Platform, Snowflake, data engineering, or databases

•      Exposure to insurance, financial services, or other regulated industries

•      Curiosity and a clear interest in building a career in data engineering