Senior Data Engineer

Equifax • Alpharetta, GA

14d • Hybrid

About The Position

Equifax is seeking a driven Senior Data Engineer to contribute to the creation of high-quality datasets that power our analytical capabilities. This position provides an opportunity to work with best-in-class technology and a rich big data ecosystem. This position is based out of our Alpharetta, Georgia office or our Midtown Atlanta office. We are required to be in the office 3 days/week - Tues/Wed/Thurs. This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support. This position is not open to third-party vendors or C2C.

Requirements

• BS degree in a STEM major or equivalent discipline.
• 5 - 7 years of experience in data related profession, with a minimum of 2 years as a data engineer.
• Extensive experience in SQL is a must, as well as strong knowledge of Python.
• Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects.

Nice To Haves

• A master's degree in a related field is a strong plus.
• Experience developing code using AI tools such as Gemini, Chat GPT, Claude, Co - Pilot, etc.
• Background in credit risk or finance.
• Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop).
• Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts (ie. Airflow), as well as basic knowledge of other cloud environments.
• Advanced Git or equivalent usage and CI/CD integration skills.

Responsibilities

• Integrate, consolidate, cleanse and structure data for use by our analysts.
• Analyze, understand and prepare complex and new data sources and incorporate them into project design.
• Use analytical insights to develop solutions, improve processes and work with counterparts in the business to implement proposed solutions.
• Create SQL and Python Pipelines that are optimized, efficient, repeatable and scalable.
• Perform design, creation, and interpretation of large and highly complex datasets.
• Utilize AI to accelerate development, optimize code, and create processing documentation for data pipelines.
• Understand best practices for data management, maintenance, and reporting and use that knowledge to implement improvements in our solutions.
• Develop and implement data quality checks and troubleshoot data anomalies.
• Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.

Benefits

• comprehensive compensation and healthcare packages
• 401k matching
• paid time off
• organizational growth potential through our online learning platform with guided career tracks

What This Job Offers

• Job Type: Full-time
• Career Level: Senior