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Data Engineer Jobs in Columbia, SC (NOW HIRING)

Junior Data Engineer

Columbia, SC · On-site

$91K - $121K/yr

The Junior Data Engineer will support the development of scalable ETL/ELT pipelines, maintain data quality, and help deliver reliable datasets for downstream tools such as Power BI. This position ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Junior Data Engineer - (Canada-based)

North, SC · Hybrid

$106K - $127K/yr

Our Opportunity Responsibilities We are looking for a Jr. Data Engineer to join our dynamic team. This role is ideal for someone with understanding of data engineering and a proven track record of ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Data Strategy-Manager

Columbia, SC · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Governance- Manager

Columbia, SC · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all ...

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Showing results 1-20

Data Engineer information

See Columbia, SC salary details

$41.2K

$120K

$164.2K

How much do data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineer in Columbia, SC is $120,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $127,200.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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:
Infographic showing various Data Engineer job openings in Columbia, SC as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,005 per year, or $57.7 per hour.
Junior Data Engineer

Junior Data Engineer

Cumming Group

Columbia, SC • On-site

$91K - $121K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

At Cumming Group, you will work on some of the world's most exciting projects in a dynamic environment where your success is measured by the impact you make. We are one of the fastest-growing project and cost management consultancies in the United States, as reflected in our top 10 rankings in ENR. With over 60 offices globally, an extremely diverse project portfolio, and double-digit year-over-year revenue growth, the opportunities to make your mark are limitless!

We are looking for a motivated Junior Data Engineer to join our data team. The ideal candidate will help build and maintain data pipelines and support our modern data platform built on the Azure Databricks Lakehouse architecture.

This role will work closely with data engineers, analysts, and business stakeholders to ingest, transform, and prepare data for analytics and reporting. The Junior Data Engineer will support the development of scalable ETL/ELT pipelines, maintain data quality, and help deliver reliable datasets for downstream tools such as Power BI. This position reports to the Senior Data Engineer and provides an excellent opportunity to develop technical skills in modern cloud data engineering.

Responsibilities

  • Assist in developing and maintaining data pipelines in Azure Databricks using SQL and PySpark.

  • Support ingestion of data from various systems (e.g., SaaS applications, databases, reports) into the Data Lakehouse.

  • Build and maintain transformation logic to move data through Medallion Architecture layers.

  • Implement basic data validation and data quality checks to ensure reliable datasets.

  • Support orchestration and scheduling of pipelines using Azure Data Factory and Databricks Jobs.

  • Optimize queries and data models for performance in Databricks and downstream reporting tools.

  • Collaborate with analytics teams to prepare datasets used in Power BI dashboards and reporting.

  • Assist with documenting pipelines, data flows, and technical processes.

  • Monitor pipeline execution and troubleshoot data issues when they occur.

Requirements

  • Bachelor's or Master's degree in computer science, Information Systems, Data Engineering, or a related field.

  • 1+ year of experience working with data pipelines, analytics platforms, or data engineering tools (internships or academic projects acceptable).

  • Strong knowledge of SQL and experience querying large datasets.

  • Familiarity with Apache Spark or Databricks.

  • Basic experience with Python or PySpark for data transformation.

  • Understanding data warehousing and Lakehouse concepts (Medallion Architecture).

  • Experience or exposure to Azure Data Factory or similar orchestration tools. Knowledge of Fivetran is a plus.

  • Familiarity with Azure cloud services is a plus.

  • Exposure to Power BI or other BI tools is beneficial.

  • Strong analytical thinking and problem-solving skills.

  • Ability to work collaboratively in a team environment and communicate effectively.

#LI-ML1

Cumming Group is committed to providing Equal Employment Opportunity in its personnel policies and practices. It is Cumming Group's policy to recruit, hire, train and promote Team Members and applicants for employment without regard to race, color, creed, religion, age, sex, marital status, registered domestic partner status, genetic information, sexual preference, sexual orientation, gender (including gender expression and gender identity), pregnancy (including childbirth or related medical conditions, including breastfeeding), military service, national origin, ancestry, citizenship, physical disability, mental disability, veteran status or any other protected classification under federal, state, or local law. All such decisions are based on (1) individual merit, qualifications, and competence as they relate to the particular position, and (2) promotion of the principle of equal employment opportunity.

All other terms and conditions of employment, such as compensation, benefits, transfers, layoff, return from layoff, training, education, and social and recreational programs, are administered without regard to the characteristics described above. To this end, Cumming Group complies with all provisions of Title VII of the Civil Rights Act of 1964 as amended, all of the rules, regulations and relevant orders of the Secretary of Labor, and all similar state and local laws.

The salary range for this full-time role is $91,000.00-$121,333.35 per year. Ranges are determined based on the position, geography, client and industry experience and level, and represent a good faith effort to provide a fair and equitable salary. This range reflects base salary only, and not the total compensation package. Cumming Group reserves the right to pay more or less than the posted range, depending on a candidate's experience, skills, and qualifications, including client requirements.

In addition to base salary, Cumming Group offers a comprehensive benefits package including:

  • Medical
  • Dental Insurance
  • Vision Insurance
  • 401(k)
  • 401(k) Matching
  • Paid Time Off
  • Paid Holidays
  • Short and long-term disability
  • Employee Assistance Program