Data Engineer

Huntington National Bank
Columbus, OH, United States
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$63,000.0 - $124,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Amazon Web Services Data Analysis Big Data Cyber Security Computer Programming Information Engineering Data Integration Data Integrity Extract Transform Load (ETL)
+12 more
Data Systems Software Debugging Python (Programming Language) Systems Development Life Cycle SAS (Software) SQL Databases Systems Integration Google Cloud Snowflake Spring-boot Actimize Software Version Control

Job description

This role will be onsite at our Easton Oval office in Columbus, OH (or in Dallas, TX, Minnetonka, MN), Summary: Under general direction, the data engineer will devise and/or modify procedures and software to solve complex data problems considering data integrity, lineage, controls, and error handling. This includes data analysis, coding, designing controls, testing, debugging, and documenting as needed. You will be competent to work at a high technical level., * Support data analysis, deployments, enhancements, and integrations between systems using various data patterns.

  • In partnership with Solutions Architecture, provide recommendations or develop solutions and implement accordingly.
  • Analyze and review existing or proposed data sources, controls, security, scalability and performance requirements with clients, and team members.
  • Develop or modify software application design and specific modules.
  • Conduct testing of new or customized data integrations to ensure specifications are me, alone or in partnership with QA resources.
  • Document functions and changes to data integrations and ingestion patterns, test activities/results, error handling, and backup/recovery procedures.
  • Serve as 3rd level support and assist lower tier support for ongoing maintenance and production issues.
  • Complete work in an agile development environment and follow appropriate programming/engineering methodologies., Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington will not sponsor applicants for this position for immigration benefits, including but not limited to assisting with obtaining work permission for F-1 students, H-1B professionals, O-1 workers, TN workers, E-3 workers, among other immigration statuses. Applicants must be currently authorized to work in the United States on a full-time basis.

Requirements

  • Bachelor’s Degree or 4+ additional years of equivalent experience.
  • 3+ years of related experience in IT data engineering and analysis.
  • 1+ years of experience with data solutions leveraging SQL, Java, Springboot, and/or Python., * 3-5+ years of IT data engineering and analysis.
  • Familiarity with big data platforms (Snowflake, AWS, GCP).
  • Ability to engineer data solutions using ETL tools or develop APIs as needed.
  • Bachelor’s Degree or equivalent work experience.
  • Sound knowledge of Software Development Life Cycle (SDLC) and Agile frameworks.
  • Financial Industry Experience preferred, or other regulated industries - IT Risk, Audit, and/or Information Security experience, Knowledge of SAS AML or Actimize product suite.
  • Knowledge of version and revision control practices and procedures.
  • Knowledge of design and programming techniques that provide security.
  • Ability to debug code and/or troubleshoot and analyze defects.
  • Understanding of data control frameworks and handling approaches.
  • Ability to work independently and multitask within a collaborative work environment.
  • Willingness and aptitude for continuous improvement.
  • Do the right thing attitude while being a strong team player.
  • Strong communication and collaboration skills, focus on customer service. Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Benefits & conditions

$63,000 - $124,000 Annual Salary

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington’s Career Web Site for more details.

Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:25 min

Engineering career path from embedded systems to banking

John Woods John Woods · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all