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Quantitative Data Engineer Jobs in Charleston, SC

Data Scientist

Charleston, SC ยท On-site

$90 - $140/hr

Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field. * 3+ years of experience in data science ...

Data Scientist

Charleston, SC ยท On-site

$110 - $160/hr

Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field.* 3+ years of experience in data science ...

Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field. * 3+ years of experience in data science ...

Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field. * 3+ years of experience in data science ...

Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field. * 3+ years of experience in data science ...

Senior Data Scientist

Hanahan, SC ยท On-site

$48.56 - $77.69/hr

Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Operations Research, or a related quantitative field * Ten (10) years of experience in ...

Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field. * 3+ years of experience in data science ...

Senior Data Scientist

Hanahan, SC ยท On-site

$48.56 - $77.69/hr

Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Operations Research, or a related quantitative field * Ten (10) years of experience in ...

Senior Data Scientist

Hanahan, SC ยท On-site

$101.32 - $161.60/hr

Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Operations Research, or a related quantitative field * Ten (10) years of experience in ...

Senior Data Scientist

Hanahan, SC ยท On-site

$48.56 - $77.69/hr

Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Operations Research, or a related quantitative field * Ten (10) years of experience in ...

Partners with cross-functional teams, including strategists, design strategists, engineers ... Translates quantitative and qualitative data, research findings, and complex concepts into ...

Engineer

Charleston, SC ยท On-site

Analyze data to provide tactful methods of issue resolution. * Communicate with subcontractors to ... Bachelor's degree in construction management or a quantitative-related field. * Outstanding ...

Engineer

Charleston, SC ยท On-site

Analyze data to provide tactful methods of issue resolution. * Communicate with subcontractors to ... Bachelor's degree in construction management or a quantitative-related field. * Outstanding ...

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Showing results 1-20

Quantitative Data Engineer information

See Charleston, SC salary details

$10.3K

$121.3K

$185.3K

How much do quantitative data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for quantitative data engineer in Charleston, SC is $121,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $129,600.00 per year, depending on experience, location, and employer.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.

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

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

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

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

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

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

Infographic showing various Quantitative Data Engineer job openings in Charleston, SC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,344 per year, or $58.3 per hour.

UX Researcher, Data Analyst & Optimization Specialist

Anatta Design

Charleston, SC โ€ข Remote

$119K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Overview
We are looking for a passionate, curious, and self-driven UX Researcher, Data Analyst & Optimization Specialist to sit at the foundation of our optimization practice — turning raw user behavior into rigorous, decision-ready insight.
This role reports directly to the UX Strategist and executes the analytical and research backbone of the optimization strategy they own. Where the Strategist sets direction and owns the client-facing narrative, this person owns the depth: the journey maps, the funnel builds, the cohort analyses, and the qualitative research that make every recommendation defensible.
The ideal candidate is a true quantitative expert with equally strong qualitative instincts — someone who can pull a statistically sound insight out of a GA4 funnel and also run a usability session that explains why the number looks the way it does. You have deep comprehension of Google Analytics and the Shopify ecosystem, and you use both to tell a story around user experience through a data-driven lens.
You will work cross-functionally alongside the UX Strategist, designers, and developers to properly tag events, track user flows, and evaluate site performance against defined KPIs — with a particular focus on journey mapping, funnel construction, LTV cohorting, and measuring the downstream impact of every UX change we ship.
Core Responsibilities
1. Journey Mapping & Funnel Analysis
• Build and maintain detailed journey maps and end-to-end conversion funnels (landing → PDP → cart → checkout →
purchase → retention)
• Understand and improve how users move through the funnel, diagnosing high abandonment and bounce points
• Draw qualitative insight about user experience from quantitative data, and vice versa
• Surface friction points and translate them into clear, testable opportunity areas for the Strategist's roadmap
2. Quantitative Data Analysis
• Conduct thorough data analysis in GA4 and Shopify to understand how users interact with and move through the site
• Build and maintain LTV cohort analyses to connect UX and onsite behavior to long-term customer value and retention
• Own data accuracy and integrity as a core competency — analyzing, validating, and pulling insight from the numbers
before anyone else touches them
• Apply sound statistical practice to ensure findings are reliable, not just directional
3. Qualitative & Mixed-Methods Research
• Plan and run qualitative research — usability testing, heuristic evaluation, and user interviews — to explain the “why” behind the data
• Apply UX best practices and heuristics to evaluate and improve user experience
• Blend qualitative and quantitative methods into a single, coherent read on user behavior
• Create artifacts such as user flows, wireflows, and journey maps to communicate findings internally and to clients
4. Event Tagging & Measurement Infrastructure
• Partner with developers to tag interactive elements of the site, ensuring data accuracy and full visibility into user
behavior
• Identify tracking gaps and help build out the event architecture that underpins the Strategist's measurement strategy
• Support GA4 funnel setup, custom event design, and ongoing tracking QA
5. A/B Testing & Impact Measurement
• Maintain a high-velocity, robust A/B testing program with clear strategic hypotheses tied to account goals and success
metrics
• Measure and report on the impact of tests and site changes on website performance, LTV, and retention
• Rigorously measure the downstream impact of shipped UX implementations, not just the initial test result — closing the
loop from hypothesis to long-term outcome
6. Reporting & Insight Communication
• Skillfully translate key findings into insights and recommendations that support the Strategist's client narrative
• Create effective, well-structured reports and dashboards that make complex data easy to act on
• Present findings and recommendations clearly, both in written reports and verbal presentation to stakeholders
7. Cross-Functional Collaboration
• Work alongside the UX Strategist, designers, and developers to move from insight to shipped improvement
• Operate comfortably across multiple clients in a fast-paced environment
• Support the Strategist's roadmap with research and analysis delivered on the cadence the account needs
Ideal Qualifications
Experience & Expertise
• 4–7 years of experience in e-commerce, UX research, or product/data analytics
• Expertise in Google Analytics, the Shopify ecosystem, and various A/B testing software platforms
• Understanding of quantitative data analysis, statistics, and data visualization
Research & Measurement Skills
• Strong grounding in journey mapping, funnel analysis, and LTV cohorting
• Understanding of best-practice experimentation design: proposing hypotheses and testing design iterations to learn about
users and site experience
• Knowledge of user-centered design process and design thinking strategies
• Comfort applying both quantitative and qualitative research methods to the same problem
Reporting & Communication
• Ability to create effective reports, present them clearly, and use tools that properly derive insight from user data
• Ability to create artifacts such as prototypes, wireframes, user flows, and wireflows to communicate ideas internally and externally
Collaboration
• Experience working across functional teams like development, design, and project management to deliver successful outcomes
• Comfortable in a fast-paced environment, working across multiple clients
• Ability to work well within a reporting structure, translating a Strategist's direction into rigorous execution
What Success Looks Like in This Role
• Your journey maps and funnel analyses become the shared source of truth the Strategist builds the roadmap on
• Your LTV cohorting consistently connects UX changes to real, measurable business value
• Your research — quantitative and qualitative — explains not just what is happening, but why
• Your reporting is clear enough that stakeholders act on it without needing it translated further
• The Strategist trusts your analysis as the foundation for every recommendation they make
Why This Role Matters
At Anatta, insight is only as good as the rigor behind it.
The UX Researcher, Data Analyst & Optimization Specialist builds that rigor — mapping the journey, measuring the funnel,
and explaining the why behind the numbers — so the strategy built on top of it is never guesswork

The duties and responsibilities described here are not a comprehensive list and the scope of the job may change as necessitated by business demands. Anatta Design reserves the right to revise the job description as circumstances warrant.

What are the perks?

We do our best to make sure employees are supported in everything they do. We offer a range of benefits and perks:

  • Remote first organization
  • Full medical, dental, vision, disability, and company paid life insurance
  • Employer 401(k) contributions 
  • Employee assistance program
  • Start accrual with 20 days of PTO annually + holidays 
  • Annual winter break: We close the week between Christmas and New Year's so everyone can truly disconnect and recharge
  • Paid parental leave
  • Company events, happy hours, and retreats
  • Budget for continuing education 
  • Other perks vary by location
Physical demands requirements

Common office/desk environment that involves long periods of time at a stationary desk with extensive computer work that requires repetitive motion of the wrists, hands, and/or fingers.

If this role is filled in the US, the annual salary range is $80,000 USD - $100,000 USD and is commensurate to several factors that are unique to each candidate, including but not limited to years of experience, skill set / qualifications, and geographical work location considering differences in cost of living, therefore, actual base pay offered may vary.  

Compensation Transparency & Pay Philosophy
At Anatta Design, we believe in fair and competitive compensation based on location. We post salary ranges in compliance with state requirements for U.S.-based roles, ensuring transparency for candidates in those regions. If you are applying from outside the U.S., please note that our pay scales are adjusted based on the cost of living and market conditions in each country.

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