Senior Data Engineer

Posted 19 Days Ago
2 Locations
In-Office
5-7 Annually
Senior level
Fintech • Consulting
The Role
Responsible for integrating and structuring data, creating SQL and Python pipelines, and ensuring data quality for analytical solutions.
Summary Generated by Built In

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.

Equifax is seeking a driven Senior Data Engineer to contribute to the creation of high-quality datasets that power our analytical capabilities. If you are a data enthusiast with a knack for databases and a talent for extracting meaningful insights from complex data, we encourage you to apply.

You will partner with internal stakeholders to design and deliver analytical solutions in an automated and mature fashion.

Strong communication skills are required, and financial industry experience is preferred. 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.
 

What you will do 

  • 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.

What experience you will need 

  • 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 authoring, scheduling, and monitoring robust data pipelines using Apache Airflow (DAGs) to automate data ingestion, transformation, and loading (ETL/ELT) processes. 

  • 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.

What could set you apart 

  • 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, as well as basic knowledge of other cloud environments.

  • Advanced Git or equivalent usage and CI/CD integration skills.

#LI-Hybrid

#LI-KD1

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

Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location:

USA-Atlanta JV White

USA-Atlanta-One-Atlantic-Center

Function:

Function - Data and Analytics

Schedule:

Full time

Skills Required

  • BS degree in a STEM major or equivalent discipline
  • 5 - 7 years of experience in data related profession
  • Minimum of 2 years as a data engineer
  • Extensive experience in SQL
  • Strong knowledge of Python

Equifax Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Equifax Inc. and has not been reviewed or approved by Equifax Inc..

  • Retirement Support Savings programs include a 401(k) with company matching and, in some contexts, profit-sharing or pension components. These are described as solid parts of the total package.
  • Parental & Family Support Programs include paid parental leave for birth and non-birthing parents and adoption assistance. Company materials highlight these benefits as part of a family-supportive offering.
  • Flexible Benefits Multiple medical plan choices, dental and vision options, FSAs/HSAs, and voluntary supplemental coverages enable customization. The company publishes plan summaries and SPDs to help compare cost and coverage by location and tier.

Equifax Inc. Insights

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The Company
HQ: Atlanta, GA
16,742 Employees

What We Do

At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward. Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region. For more information, visit Equifax.com.

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