Senior Data Engineer

  • St. Louis, MO
  • Posted 60+ days ago | Updated moments ago

Overview

On Site
Full Time

Skills

Collaboration
Energy
Analytical Skill
Streaming
Mentorship
Data Architecture
Data Engineering
Data Modeling
Data Warehouse
Data Integration
Big Data
Data Flow
Python
SQL
Computer Science
Information Systems
Cloud Computing
Java
DevOps
Continuous Integration and Development
Jenkins
GitHub
Terraform
Management
Google Cloud
Google Cloud Platform
Elasticsearch
Health Care
Online Learning
Analytics

Job Details

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 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.

Workforce Solutions Data & Analytics (EWS D&A) is a high-energy, fast-growing organization within Equifax charged with building and supporting best-in-industry data assets and analytical solutions. We deliver solutions and insights to enable success for our customers, drive growth for our business, and create value for our shareholders.

As a Senior Data Engineer, you will lead the evolution of our data platform, and build data products and self-service solutions for the users of our data platform.

What you'll do
  • Design and implement data engineering frameworks to scale development and deployment of data pipelines across the D&A organization
  • Build complex batch and streaming pipelines to ingest data from upstream Equifax cloud systems
  • Enable new Google Cloud Platform services and build self-service capabilities to enhance functionality of our data platform
  • Act as a mentor to junior engineers within the Data Platform team and also the broader D&A organization
  • Play an active role in setting engineering standards and best practices in EWS D&A

What experience you need
  • At least 5 years of experience in data engineering, data architecture, or a related field
  • Strong understanding of data engineering principles and best practices, including data modeling, data warehousing, and data integration
  • At least 3 years of experience working in a Google Cloud Platform big data environment
  • Experience building complex data pipelines and solutions using two or more of the following - BigQuery, DataFlow, DataProc, Pub/Sub, Cloud Functions
  • Experience with Airflow or Cloud Composer
  • Proficiency in Python development
  • Professional experience with SQL
  • Proven ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders
  • Bachelor's degree or higher in Computer Science, Information Systems, or a related field

What could set you apart
  • Google Cloud Platform Professional Data Engineer or Professional Cloud Architect certification
  • Experience programming in Java
  • Experience scaling Airflow
  • Experience with dbt
  • DevOps / CICD experience (Jenkins and GitHub) and IaC experience using Terraform for managing Google Cloud Platform infrastructure

#LI-Hybrid

#LI-ES1

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-St. Louis-Lackland

USA-Atlanta JV White

Function:
Function - Data and Analytics

Schedule:
Full time
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