Senior Data Engineer

Posted 2 Days Ago
Washington, VA
Senior level
Fintech • Consulting
The Role
The Senior Data Engineer at Equifax will handle complex data management tasks, including the creation of data pipelines and integration of diverse data sources. Responsibilities include ensuring data quality, mentoring junior engineers, and utilizing cloud platforms for implementing data solutions. This role requires both engineering and statistical skills to drive insights from data.
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 searching for a Senior Data Engineer to join our world-class Entity Resolution (Keying & Linking) team within the Global Data & Analytics CoE. The ideal candidate is a rare hybrid, an engineer with the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. This role will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data. Qualified candidates will have a strong academic background in mathematics or statistics, passion for data science and data engineering.

This role requires understanding large, diverse data sources and extensive experience developing data matching and Entity Resolution rules. Linking data about consumers and/or businesses will be a large part of this role.

Equifax has a hybrid work schedule that allows for 2 days of remote work (Monday and Friday), with 3 days onsite (Tuesday, Wednesday, Thursday) every week.

This role will work the required onsite days at our Equifax office in Alpharetta, GA or Reston, VA. 

Visa sponsorship or support is not available currently or in the future. No C2C. No vendors. 

What you will do

  • Apply the knowledge of data characteristics and data supply pattern, develop rules and tracking process to support data quality model. 

  • Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems.

  • Integrate, consolidate, cleanse and structure data for use by our clients in our solutions.

  • Perform design, creation, and interpretation of large and highly complex datasets.

  • Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.

  • Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions.

  • Implement security best practices in pipelines and infrastructure.

  • Develop and implement data quality checks and troubleshoot data anomalies.

  • Provide guidance and mentorship to junior data engineers.

  • Review data analysis performed by junior data engineers.

What experience you will need 

  • BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred.

  • 5+ years of experience as a data engineer or related role.

  • Advanced skills using programming languages such as Python, SQL, and NoSQL and intermediate level experience with scripting languages.

  • Intermediate level understanding and working experience with Google Cloud Platforms (preferred), AWS, or Azure and overall cloud computing concepts, as well as basic knowledge of other cloud environments.

  • 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.

  • Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance.

  • Demonstrates advanced Git usage and CI/CD integration skills.
     

What could set you apart 

  • Knowledge of credit bureau data, and familiarity with the laws like FCRA, GLBA, and GDPR.

  • Associate / Intermediate Cloud and/or SQL cert from GCP, DataCamp, Coursera, Microsoft, AWS, LeetCode, PluralSight, Coursera, etc.

  • Experience or advanced degree with focus on Entity Resolution concepts, prototype or hands-on projects related to graph, vector DB, embeddings.

  • Experience in Data Visualization and storytelling.

  • Experience collaborating with international teams.

  • Hands-on code development experience with strong coding ethics.

#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 Washington-DC (Reston VA)USA-Atlanta JV White

Function:

Function - Data and Analytics

Schedule:

Full time

Top Skills

NoSQL
Python
SQL
The Company
HQ: Atlanta, GA
16,742 Employees
On-site Workplace

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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