Consultant, Data Engineer

Nationwide

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Columbus, OH
Salary
$118,000–$222,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $170k
$106k $234k
below market most similar roles pay here above market

This role pays more than 56% of similar roles. Most pay $126,800–$211,200 — the blue band above. At the midpoint, this role pays about $170k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Nationwide

Nationwide is a Fortune 100 insurance and financial services company offering auto, home, life, and commercial insurance along with retirement savings, asset management, and banking products. Industry: Insurance & Financial Services

Nationwide currently has 62 open roles on FindRole.

Listed pay typically runs $118,000–$222,000 across 22 roles with salary data.

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View all roles at Nationwide

At a glance

TL;DR · Consultant, Data Engineer

The Consultant, Data Engineer joins the Technology team to design, develop, test, and implement scalable ETL/ELT data integration pipelines. This role involves acquiring and centralizing high-volume datasets from multiple source systems into cloud data warehouses and data marts. Key responsibilities include performing logical and physical dimensional data modeling, data profiling, and data quality analysis to architect target database schemas like Star and Snowflake schemas. The engineer will develop custom automated workflows, system alerts, and scripting solutions while architecting CI/CD pipelines using enterprise automation software and orchestration frameworks. Utilizing Snowflake and AWS, the position requires conducting POCs on emerging data tools and cloud technologies to drive platform modernization. The work focuses on optimizing large-scale analytical computations and managing complex data assets for the organization.

What you'll do

  • Design, develop, test, and implement scalable ETL/ELT data integration pipelines.
  • Centralize high-volume datasets from multiple source systems into cloud data warehouses and marts.
  • Utilize Snowflake and AWS to store, process, and optimize large-scale analytical computations.
  • Perform logical and physical dimensional data modeling and data quality analysis.
  • Architect target database schemas and define optimal data load strategies.
  • Develop custom automated workflows, system alerts, and scripting solutions.
  • Architect and implement CI/CD pipelines using enterprise automation software and orchestration frameworks.
  • Conduct POCs on emerging data tools and cloud technologies to drive platform modernization.

What we're looking for

  • Master’s degree in Computer Science.
  • 3 years of experience designing, developing, testing, and implementing scalable ETL/ELT data integration pipelines.
  • Experience leveraging Snowflake and AWS to store, process, and optimize large-scale analytical computations.
  • Experience performing logical and physical dimensional data modeling, data profiling, and data quality analysis.
  • Ability to architect target database schemas such as Star and Snowflake schemas.
  • Experience developing custom automated workflows, system alerts, and scripting solutions.
  • Experience architecting and implementing CI/CD pipelines using enterprise automation software and orchestration frameworks.
  • Ability to conduct POCs on emerging data tools, frameworks, and cloud technologies.

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