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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 close to $70 billion in yearly sales, and its Technology team adopts new tools to produce business results.

Customers are central to the work, and the team looks for people who care about giving them strong service.

Responsibilities

  • Design, build, maintain and support ETL, data warehousing and enterprise data-integration workflows across relational databases, file systems and service interfaces.
  • Build these workflows in Ab Initio, SQL, PL/SQL and Unix shell scripting on Teradata, Oracle and DB2, including mappings, metadata-driven transformation logic and tuning for high-volume data.
  • Test data warehouse pipelines, analytics workloads and application systems, both automated and manual, using Jira and HP Quality Center. Write test scripts, plans and cases, keep traceability, support regression and check migration readiness.
  • Take part across the full SDLC: requirements analysis, design, development, testing, deployment coordination, issue tracking, defect management, sprint planning and release coordination in Jira.
  • Provide production support after go-live.
  • Shape physical and logical data models and SQL and PL/SQL processing logic for reporting, query speed, data consistency, dimensional modeling and schema design at scale.
  • Create and run Unix shell scripts that automate jobs, orchestrate them, move files and manage environments.
  • Build, schedule and monitor enterprise data jobs in Control-M and Autosys, and handle production moves, root-cause analysis and ETL tuning.
  • Use C, XML and related technologies, including HTML, for structured data, file-based interfaces and ETL work across mixed source and target systems.

Requirements

  • A Master's degree in Computer Science or Engineering plus 3 years of experience doing the duties above.
  • Or a Bachelor's degree in Computer Science or Engineering plus 5 years of experience doing the duties above.
  • Consistently show the company values in your daily work.

Conditions

This is an exempt role and is not eligible for overtime.

The listed duties cover the main functions of the job, but people in the role may perform a somewhat different mix of duties depending on circumstances.

The national salary range is $118,000.00-$222,000.00. The expected starting salary range is $118,000.00-$178,000.00.

Starting pay within the range depends on skills, education, training, credentials, experience, the scope, complexity and location of the role, local labor costs and other employment conditions.

For sales jobs, performance-based sales incentives may be paid on top of the range.

The ranges show full-time pay, so actual pay for part-time work may be prorated by hours worked.

The company is an equal opportunity employer and prohibits discrimination and harassment based on any legally protected characteristic.

Benefits

  • Medical, dental and vision coverage, life insurance, and short- and long-term disability coverage.
  • Paid time off: newly hired staff receive at least 18 days per full calendar year, pro-rated quarterly from the 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, plus other benefits.

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
  • SQL
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
  • SQL

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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