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Nationwide

Consultant, Data Engineer

  • Hybrid
  • 3-6 years

Salary

$118,000/ year

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Description

The company is a Fortune 100 business with nearly $70 billion in annual sales. Its technology team wants people who care about customers and who can help the business adopt new technologies that produce real outcomes.

This data engineering role builds and modernizes the data platform that feeds analytics across the business.

Responsibilities

  • Build and maintain scalable ETL and ELT pipelines that gather large, varied datasets from several source systems and load them into cloud data warehouses and data marts.
  • Use Snowflake and AWS to store and process large analytical workloads and complex data assets efficiently.
  • Carry out logical and physical dimensional modeling, data profiling and data quality analysis to design Star and Snowflake schemas and set data load strategies.
  • Create custom automated workflows, system alerts and scripts.
  • Design and implement CI/CD pipelines using enterprise automation software and orchestration frameworks.
  • Run proof-of-concept tests on new data tools, frameworks and cloud technologies to judge feasibility and support platform modernization.

Requirements

  • Master's degree in Computer Science.
  • 3 years of experience doing the work described above.
  • Consistently show the company's values in your day-to-day work.

Conditions

Exempt position, not eligible for overtime.

National salary range: $118,000.00 - $222,000.00.

Expected starting salary range: $118,000.00 - $178,000.00.

Pay follows a geographic salary structure. Where you land in the starting range depends on skills, education, training, credentials, experience, role scope and complexity, location, local labor costs and other employment conditions.

For part-time roles, the ranges above are full-time figures and actual pay is prorated by hours worked.

The company is an equal opportunity employer that prohibits discrimination and harassment; duties may vary somewhat for individual circumstances.

Benefits

  • Medical, dental and vision coverage, life insurance, and short- and long-term disability coverage.
  • Paid time off: at least 18 days per calendar year for new hires, pro-rated quarterly from hire date.
  • Nine paid holidays, 8 hours of Lifetime paid time off, and 8 hours of Unity Day paid time off.
  • 401(k) with company match and a company-paid pension plan.
  • Business casual dress code and other extras.

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

Nationwide

  • Industry: FinTech

Offices in Columbus, United States, United States

2 of their 23 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 22 checks run
  • 1 red flag

Still hiring?

15 checks

1 red flag

How crowded?

7 checks

No red flags

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Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • AWS
  • Snowflake
Type
Full-time
Industry
FinTech
Specialty
Data Engineering
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Experience
3+ years
Tech stack
  • AWS
  • Snowflake

Location

Work model
Hybrid
Region
United States
Offices
  • Columbus, United States
  • United States
Remote from
  • United States

Compensation

Salary
$118,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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