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Professional Data Engineer Jobs (NOW HIRING)

Equifax, Inc.

Data Engineer

Saint Louis, MO · On-site

$111.30K - $133.70K/yr

As a Data Engineer, you will play a crucial role in the evolution of our data platform, support the ... Professional experience with SQL. * Proven ability to effectively communicate complex technical ...

Programmers.io

Bigdata Engineer with GCP

Sunrise, FL · On-site

$109.20K - $131.10K/yr

GCP certifications (e.g., Professional Data Engineer ) Education * Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) What We ...

Analytic Services Inc

Data Engineer

Reston, VA

$119.10K - $143K/yr

Certification in Data Management or Cloud Architecture (e.g., AWS Certified Data Engineer, Google Professional Data Engineer). * Ability to communicate technical data management concepts clearly to ...

MDAEdge

Senior Data Engineer

Washington, DC · On-site

$119.60K - $162.50K/yr

Azure Data Engineer Associate or Databricks Certified Professional Data Engineer • Government or highly regulated environment experience (7+ years) Company : The world doesn't have a talent ...

Apex Systems

Sr. Data Engineer

Columbia, MD · On-site

$112.70K - $135.30K/yr

Data Engineer: * 3-4+ years of professional data engineering experience * Senior Data Engineer: * 6-8+ years of experience with demonstrated ownership of complex data systems and pipelines Additional ...

Tata Consultancy Services

GCP Data Eng

Charlotte, NC · On-site

Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies. • Certifications in cloud platform (GCP Professional Data Engineer) is a plus. Qualifications : Required ...

ANSER

Data Engineer

Reston, VA · On-site

$119.30K - $143.30K/yr

... Professional Data Engineer). • Ability to communicate technical data management concepts clearly to both technical and non-technical audiences. • Experience supporting DIA, IC, or DoD analytic ...

ANSER

Data Engineer

Reston, VA · On-site

$119.30K - $143.30K/yr

... Professional Data Engineer). • Ability to communicate technical data management concepts clearly to both technical and non-technical audiences. • Experience supporting DIA, IC, or DoD analytic ...

Accenture Federal Services

Data Engineer

Arlington, VA

$93.40K - $176.20K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar As required by local ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$93.40K - $176.20K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar As required by local ...

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How much do professional data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for professional data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and certifications can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, and leadership responsibilities.

What is the difference between Professional Data Engineer vs Data Scientist?

AspectProfessional Data EngineerData Scientist
Required CredentialsCertifications like Google Cloud Professional Data Engineer, relevant degrees in computer science or data engineeringDegrees in statistics, data science, or related fields; certifications like Certified Data Scientist
Work EnvironmentDesigning data pipelines, managing data infrastructure, ensuring data qualityAnalyzing data, building models, deriving insights from data
Employer & Industry UsageTech companies, data-driven organizations focusing on data infrastructureResearch institutions, analytics firms, companies focusing on predictive modeling

The Professional Data Engineer primarily focuses on building and maintaining data infrastructure, ensuring data flows efficiently within organizations. In contrast, Data Scientists analyze data to extract insights and develop predictive models. Both roles often collaborate but serve different functions within data teams.

What cities are hiring for Professional Data Engineer jobs? Cities with the most Professional Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Professional Data Engineer jobs? States with the most job openings for Professional Data Engineer jobs include:
Professional Data Engineer jobs near you
Data Engineer

Data Engineer

Equifax, Inc.

Saint Louis, MO • On-site

$111.30K - $133.70K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

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.
As a Data Engineer, you will play a crucial role in the evolution of our data platform, support the activation of AI capabilities across the team, and build data products and self-service solutions for the users of our data platform.
This role requires being in the office 3 days/week on Tues - Thurs.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
What you'll do
  • Build complex batch and streaming pipelines to ingest data from upstream Equifax cloud systems.
  • Design and implement data engineering frameworks to scale the development and deployment of data pipelines across the D&A organization.
  • Leverage AI-powered coding assistants to accelerate development, optimize code, and generate documentation for data pipelines and infrastructure.
  • Develop and refine prompts for Large Language Models (LLMs) to assist in data-related tasks such as data cleansing, transformation logic generation, and automated data documentation.
  • Design, build, and maintain scalable data pipelines that support AI/ML applications.
  • Explore and implement AI agents to automate repetitive data management tasks, monitor data quality, and orchestrate complex data workflows.
  • Play an active role in setting engineering standards and best practices in EWS D&A.

What experience do you need
  • At least 5 years of experience in data engineering, data architecture, or a related field.
  • A strong understanding of data engineering principles and best practices, including data modeling, data warehousing, and data integration.
  • At least 1 year of experience working in a GCP 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.
  • Experience with Vertex AI.
  • Proficiency in Python development.
  • Professional experience with SQL.
  • Proven ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
  • A Bachelor's degree or higher in Computer Science, Information Systems, or a related field.

What could set you apart
  • Demonstrated experience with prompt engineering to interact with and guide AI models for optimal outputs.
  • Hands-on experience with AI-assisted coding tools
  • Familiarity with frameworks for building AI applications or agents (e.g., LangChain, LlamaIndex).
  • Experience integrating AI services and models into data pipelines via APIs
  • DevOps/CICD experience (Jenkins and GitHub) and IaC experience using Terraform for managing GCP infrastructure.
  • GCP Associate Cloud Engineer or Professional Data Engineer certification.

#LI-ES1
#LI-Hybrid
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
Function:
Function - Data and Analytics
Schedule:
Full time

What Equifax employees say

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Benefits

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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