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Data Engineer Jobs in Columbia, SC (NOW HIRING)

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Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

Qualifications Data Stores, Data Marts, Data Modeling, Database Design, Sharepoint Software Development, Sql Databases, .Net Programming, Nintex Workflow Designer Additional Information All your ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

INTERPRET DATA, ANALYZE RESULTS USING STATISTICAL TECHNIQUES AND PROVIDE ONGOING REPORTS DEVELOP ... PROGRAMMING (XML, JAVASCRIPT, OR ETL FRAMEWORKS) KNOWLEDGE OF STATISTICS AND EXPERIENCE USING ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

The Data Architect role involves overseeing project financials, developing reports, and ... SQL ETC), PROGRAMMING (XML, JAVASCRIPT, OR ETL FRAMEWORKS) • KNOWLEDGE OF STATISTICS AND ...

Pwc

NGA AI Engineer Manager

Columbia, SC · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Petco

Sr. Technical Product Manager - Data

Sumter, SC · On-site

$112K - $148K/yr

Partner with data engineers, architects, analysts, data scientists, and business teams. Define data-quality standards, business rules, data contracts, metric definitions, and service-level ...

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All JobsData Engineer JobsData Engineer Jobs in Columbia, SC

Data Engineer information

See Columbia, SC salary details

$36.3K

$105.9K

$144.9K

How much do data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer in Columbia, SC is $105,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $112,300.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Columbia, SC?

The most popular types of Data Engineer jobs in Columbia, SC are:

What are popular job titles related to Data Engineer jobs in Columbia, SC?

For Data Engineer jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Columbia, SC look for?

The top searched job categories for Data Engineer jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Data Engineer jobs?

Cities near Columbia, SC with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Columbia, SC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $105,920 per year, or $50.9 per hour.

Director of Data & AI - Post Purchase and Innovation

Gap Inc.

Columbia, SC • On-site

$209K - $272K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Gap rating

6.8

Company rating: 6.8 out of 10

Based on 279 frontline employees who took The Breakroom Quiz

29th of 105 rated fashion retailers

Job description

About Gap Inc.

At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.

Our portfolio—Old Navy, Gap, Banana Republic, and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers.

Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement.

We’re driven by a shared purpose: to bridge gaps—between people, perspectives, and possibilities—to create a better world.

We’re building a team that performs at a high level—people who think boldly, take ownership, and turn ideas into impact. If you’re ready to learn fast and help shape what’s next, you’ll fit right in.

About the role

We’re looking for a business-minded Director of Data & AI to own and scale data and AI capabilities across our Post-Purchase and Innovation ecosystem. This role sits at the intersection of strategy, technology, and customer experience—spanning fulfillment, returns, call center operations, experimentation, and emerging channels such as marketplace partnerships (on-demand fulfillment, social selling, wholesale, and beyond).Think of this role as a General Manager for Data & AI in this space: setting the vision, shaping the roadmap, and turning data into measurable business impact. You’ll partner closely with Product, Engineering, and business leaders to prioritize investments, guide innovation, and ensure data and AI are core to how we operate and grow.

What you'll do

Set the Vision

  • Define and lead the data and AI strategy for Post-Purchase and Innovation, aligning it tightly with company priorities and customer outcomes
  • Partner with executive leadership to influence technology investment decisions, trade-offs, and long-term roadmap planning
  • Drive smarter usage and optimization of existing platforms across Fulfillment, Returns, and Customer Support using data-driven insights

Build and Lead a High-Impact Team

  • Hire, lead, and inspire a cross-functional team of data scientists, analysts, and data product managers
  • Create a culture of ownership, curiosity, and delivery—coaching the team on both technical excellence and business impact
  • Deliver complex initiatives in collaboration with Engineering, Data Engineering, Product, and Business teams

Drive Experimentation & Learning

  • Champion a test-and-learn mindset, embedding experimentation into how technology decisions are made
  • Lead experimentation design, measurement frameworks, and testing strategies across initiatives
  • Apply advanced analytical techniques to evaluate outcomes, run “what-if” scenarios, and provide clear recommendations

Advance Algorithms & AI

  • Oversee the design, development, and deployment of algorithms and models that improve efficiency, reduce cost, and elevate customer experience
  • Ensure models are scalable, explainable, and aligned with real-world operational needs

Be a Connector & Storyteller

  • Translate business challenges into actionable data and AI initiatives
  • Communicate complex technical concepts with clarity and confidence to non-technical partners
  • Present insights, progress, and recommendations to senior and executive leadership
Who you are
  • Proven experience leading data and/or data science teams, ideally in fulfillment, returns, or innovation-driven environments
  • Strong hands-on foundation in Python and SQL, with the ability to guide technical direction
  • Retail or marketplace experience strongly preferred
  • Exceptional leadership, communication, and influence skills
  • A track record of building teams, driving strategy, and delivering real business outcomes through data

Salary Range: $209,700.00 - $272,600.00
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

Benefits at Gap Inc.
  • Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
  • One of the most competitive Paid Time Off plans in the industry.*
  • Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.*
  • Extensive 401(k) plan with company matching for contributions up to four percent of an employee’s base pay.*
  • Employee stock purchase plan.*
  • Medical, dental, vision and life insurance.*
  • See more of the benefits we offer.

*For eligible employees

Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

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