Data Analytics Engineer Jobs in South Carolina
Data Analytics Engineer jobs in South Carolina are concentrated in Charlotte-adjacent markets like Rock Hill, along with Columbia and Greenville, where employers such as BlueCross BlueShield of South Carolina, Michelin North America, and Sonoco Products maintain substantial analytics functions. Demand is strongest for engineers skilled in dbt, Snowflake, and cloud-based pipeline architecture, with openings at every level from associate data engineer to senior analytics lead. Find a role that fits below and apply directly.
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Additional Information:
The internship is expected to be a 10–12 week period from May 2027 until the end of July 2027. Housing is not provided, but reasonable rentals may be available through local university student housing offices. The selected candidate will be responsible for their own transportation.
A 40-hour work week is set and scheduled by the individual departments. SRMC utilizes various work schedules including 5/8s (8 hours/day; five days per week), 4/10s (10 hours/day; four days per week), etc. Each workday has a 30-minute lunch. Interns will be paid a competitive hourly rate; no summer interns will be assigned to shift work; overtime is not available; Interns will be paid for site holidays (Memorial Day, July 4th) as applicable.
Assignments will be located in SRMC facilities in Aiken, SC. Public transportation is not available, and interns will be required to arrange their own transportation. A valid Driver’s License, Registration and proof of automobile insurance is required for driving on the Savannah River Site.
Resumes will be reviewed by the selection panel in January 2027. All selected applicants will be contacted by February or March 2027.
If you are selected to participate in the SRMC internship program, additional information will be requested such as: SRMC employment application, references and official transcripts. You will be assigned to SRS General Employee Training and Drug and Alcohol test appointments before badging and commencement of assignment.
- Candidate must be enrolled as a full-time student at:
- An accredited four-year university, and currently working towards a Bachelor’s Degree in Computer Science, Data Science, or equivalent
- Must have completed their Sophomore year.
- Must pass General Employment Training (GET)
- Must pass Drug and Alcohol Testing (DAT)
- A cumulative GPA of 2.5 or above
- Knowledge of basic computer science concepts, such as data structures, algorithms, object-oriented programming, etc.
- Familiarity with .NET framework and C# programming language
- Experience with web development technologies, such as HTML, CSS, JavaScript, jQuery, Bootstrap, etc.
- Ability to learn new technologies to include artificial intelligence (AI), machine learning (ML) and solve problems.
- Good communication and interpersonal skills
- Attention to detail and quality.
- Creativity and innovation
- High Deductible Health Insurance
- 2 paid holidays during the summer months
- Paid Sick Leave
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Where South Carolina roles are concentrated, by current openings.
Data Analytics Engineer Job Market in South Carolina
A snapshot from current South Carolina openings, updated as new roles post.
Who's Hiring



What South Carolina Employers Look For
The qualifications that appear most often in data analytics engineer jobs across South Carolina.
- Bachelor's degree in computer science, data science, or a related quantitative field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Experience building and maintaining data pipelines using tools like dbt or Apache Airflow
- Hands-on work with cloud data platforms such as Snowflake, Databricks, or AWS Redshift
- Ability to translate business requirements into data models and analytical workflows
- Familiarity with version control practices and collaborative development using Git
Data Analytics Engineer Jobs in South Carolina: Frequently Asked Questions
How do you become a data analytics engineer in South Carolina?
Data analytics engineering carries no state-issued license in South Carolina, so the path runs through education and demonstrated technical skill. Most South Carolina employers expect a bachelor's degree in computer science, information systems, or a related field. Candidates who complete a degree at Clemson University, the University of South Carolina, or a comparable program and build a portfolio of pipeline and data modeling projects are well positioned for entry-level roles across the state's manufacturing, healthcare, and financial services sectors.
How much do data analytics engineers make in South Carolina?
Data analytics engineers in South Carolina earn a median of about $91,990 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $61,600 for the lowest 10% to over $156,000 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics engineers in South Carolina?
Companies currently hiring data analytics engineers in South Carolina include Vertiv, LPL Financial, and TD SYNNEX, per current listings on Migrate Mate as of November 2026. South Carolina's mix of large healthcare insurers, multinational manufacturers, and financial services firms creates steady, varied demand for analytics engineering talent across the state.
Which South Carolina cities have the most data analytics engineer jobs?
Greenville, Fort Mill, and Aiken lead South Carolina for data analytics engineer openings. Columbia anchors the market as the state capital and home to BlueCross BlueShield of South Carolina and a dense cluster of state government agencies, while Greenville reflects the Upstate's manufacturing-driven analytics demand from companies like Michelin and BMW, and Charleston draws openings from its growing technology and logistics sector.
Are there remote data analytics engineer jobs in South Carolina?
Yes, and more than most fields. About 100% of data analytics engineer openings tied to South Carolina are remote or hybrid as of November 2026, reflecting how naturally this work translates to distributed environments. Pipeline development, data modeling, and BI dashboard work in particular are frequently performed fully remote, making South Carolina-based candidates competitive for openings posted by employers anywhere in the country.
How can I get hired as a data analytics engineer in South Carolina with little or no experience?
The most realistic entry path is a junior data analyst or analytics associate role at a large South Carolina employer, then transitioning into engineering work once pipeline and modeling experience is established. BlueCross BlueShield of South Carolina and state government agencies in Columbia regularly bring on new-grad analysts. Building a portfolio with public datasets, earning a cloud certification such as AWS Certified Data Engineer, and contributing to open-source dbt projects strengthens applications considerably for candidates without professional experience.
Where can I find and apply to data analytics engineer jobs in South Carolina?
You can find and apply to data analytics engineer jobs in South Carolina on Migrate Mate, which lists current South Carolina openings updated regularly. Search the listings for roles that match your experience and specialization, then apply directly to the ones that fit.
See All 8 Data Analytics Engineer Jobs in South Carolina
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