Top 17 Data governance engineer Jobs in Columbus

Senior Data Engineer
Lower —Columbus, OH
- Full-time
- 3 years
- Senior level
Senior Data Engineer
Safelite Group —Columbus, OH
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
- Paid holidays
- Health insurance
Staff Data Reliability Engineer - Hybrid
The Hartford —Columbus, OH
- $127,600 - $191,400 a year
- Full-time
- Hybrid work
- Office
- 3 years
- SQL
4d
Senior Data Engineer
Advanced Drainage Systems —Hilliard, OH
- Full-time
- Hybrid work
- Azure
- Computer Science
- Physical & Rehabilitation Medicine
- Paid parental leave
- Health savings account
Data Engineer Lead
Huntington Bank —Columbus, OH
- Full-time
- 7 years
- Computer Science
- Office
GCP Data Engineer
The Hartford —Columbus, OH
- $100,960 - $151,440 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Office
Lead Data Privacy Engineer
CVS Health —Columbus, OH
- $106,605 - $284,280 a year
- Full-time
- Azure
- HIPAA
- Java
- Health insurance
- Dental insurance
Google Senior Data Engineer
Accenture —Columbus, OH
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 5 years
- SQL
- US work authorization
- Paid holidays
- Disability insurance
11d
Manager of Data Engineering
Safelite Group —Columbus, OH
- Full-time
- Hybrid work
- Computer Science
- System design
- Office
- Paid holidays
- Health insurance
Sr Lead Software Engineer - UAT Data Platform & Governance Lead
JPMorganChase —Columbus, OH
- Full-time
- 5 years
- System design
- Java
- Health insurance
- Tuition reimbursement
2d
Senior Data Product Analyst - Data Management Engineer III
Deloitte —Columbus, OH
- $107,900 - $179,900 a year
- Full-time
- Azure
- Computer Science
- 3 years
2d
Critical Infrastructure Controls Engineer, Data Center Field Engineering
Amazon Data Services, Inc. —Columbus, OH
- $116,800 - $160,000 a year
- Full-time
- Writing skills
- System design
- Office
- AD&D insurance
- Health insurance
13d
Cyber AI Data Engineer Senior Consultant
Deloitte —Columbus, OH
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree
Data Quality Engineer
Kemper Insurance —Columbus, OH
- $99,000 - $164,800 a year
- Full-time
- Remote
- Computer science
- 6 years
- Computer Science
- Health insurance
- Dental insurance
Quick Apply

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Senior Data Engineer
Lower —Columbus, OH
3–5+ years of professional experience in data engineering, analytics engineering, business intelligence engineering, or a similar data-focused role.
Senior Data Engineer
Safelite Group —Columbus, OH
Bachelor's Degree in computer science, engineering, analytics or related field, or equivalent Required. Develop and deploy continuous integration and continuous…

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data governance engineer jobs near columbus

Senior Data Engineer

Lower -
Columbus, OH

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Job Details

Full-time

Qualifications

Stakeholder management

Full Job Description

Here at Lower, we believe homeownership is the key to building wealth, and we’re making it easier and more accessible than ever. As a mission-driven fintech, we simplify the home-buying process through cutting-edge technology and a seamless customer experience.

With tens of billions in funded home loans and top ratings on Trustpilot (4.8), Google (4.9), and Zillow (4.9), we’re a leader in the industry. But what truly sets us apart? Our people. Join us and be part of something bigger.

Job Description:

Lower.com is looking for a Data Engineer II to join our Data & Analytics team. This is an exciting opportunity to work on a team that supports stakeholders across the entire company and has access to the full breadth of Lower’s data ecosystem.

As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across the business. You will work closely with analysts, data engineers, business leaders, and technical stakeholders to create reliable data pipelines, maintain and enhance our data warehouse, and build scalable data products that help the company move faster and make better decisions.

Our current stack includes Snowflake, dbt, Looker, Domo, and a variety of source-system connectors, native pipelines, APIs, data shares, SFTP-based integrations, and Python-based workflows. We are also actively exploring how modern AI development tools and agentic workflows — including tools like Claude Code, Cursor, AI-assisted development, and data-focused automation frameworks — can help us build faster, improve quality, and create better internal data products.

This is a great role for someone who enjoys working in a dynamic, high-growth environment, likes solving data problems, and is excited by the opportunity to use modern tooling, including AI-assisted development, to improve how data teams work.

What you'll do:

Build, maintain, and optimize data pipelines across a variety of source systems.

Support and improve our core data warehouse infrastructure, primarily in Snowflake, with some legacy warehouse environments such as Redshift.

Develop and maintain transformation logic, models, and reusable data assets using tools such as dbt.

Build new warehouse functionality, curated data models, marts, and tables that support reporting, analytics, operations, and stakeholder decision-making.

Support BI and reporting workflows across Looker and Domo, partnering with analysts and business teams to ensure trusted, consistent metrics.

Manage and troubleshoot existing data pipelines, jobs, connectors, data shares, SFTP connections, APIs, and native integrations.

Write and maintain production-quality SQL, Python scripts, and transformation workflows.

Partner with analysts and business stakeholders to understand data needs and translate them into reliable, scalable data solutions.

Help ensure our data is accurate, timely, well-documented, and trusted by the teams that rely on it.

Explore and adopt AI-assisted engineering tools such as Claude Code, Cursor, and other agentic AI frameworks to improve development velocity, documentation, testing, data quality, and operational efficiency.

Support warehouse migrations, platform consolidation, and modernization efforts as the company continues to scale.

Collaborate with cross-functional teams across marketing, sales, operations, finance, product, technology, and mortgage operations.

Contribute to data quality monitoring, observability, governance, and process improvements.

Who you are:

3–5+ years of professional experience in data engineering, analytics engineering, business intelligence engineering, or a similar data-focused role.

Strong SQL skills and experience working with large, complex datasets.

Experience building and maintaining production data pipelines.

Experience with cloud data warehouses such as Snowflake, Redshift, BigQuery, or similar platforms.

Experience with dbt or similar data transformation frameworks.

Experience with Python or another scripting language used for data processing, automation, or pipeline orchestration.

Familiarity with data integration patterns, including APIs, SFTP transfers, file-based ingestion, third-party connectors, data shares, and native platform integrations.

Comfort working with BI and analytics tools such as Looker, Domo, Tableau, Power BI, or similar platforms.

Interest in using modern AI tools to improve data engineering workflows, including AI-assisted coding, documentation, testing, code review, and automation.

Comfort working with messy, real-world business data and turning it into clean, trustworthy, usable data assets.

Strong problem-solving skills and attention to detail.

Ability to work with both technical and non-technical stakeholders.

A collaborative mindset and a desire to build reliable systems that help the broader company succeed.

Preferred Experience

Experience in the mortgage, lending, financial services, real estate, or fintech industries.

Hands-on experience with Snowflake, dbt, Looker, and/or Domo.

Experience using AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, or similar tools.

Experience exploring or building with AI agents, workflow automation, LLM-powered internal tools, or agentic development frameworks.

Experience with orchestration tools, cloud platforms, CI/CD workflows, or modern data stack tooling.

Familiarity with data governance, data quality testing, observability, and documentation best practices.

Experience supporting executive reporting, operational analytics, marketing analytics, mortgage operations, or sales funnel reporting.

Lower provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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Refine Your Search

data governance engineer jobs in columbus

Senior Data Engineer

Senior Data Engineer

Staff Data Reliability Engineer - Hybrid

Senior Data Engineer

Data Engineer Lead

GCP Data Engineer

Lead Data Privacy Engineer

Google Senior Data Engineer

Manager of Data Engineering

Sr Lead Software Engineer - UAT Data Platform & Governance Lead

Senior Data Product Analyst - Data Management Engineer III

Critical Infrastructure Controls Engineer, Data Center Field Engineering

Cyber AI Data Engineer Senior Consultant

Data Quality Engineer

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