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Full Stack Data Engineer Jobs in Conway, SC (NOW HIRING)

... data, and helping to report news -- everything from quick-hit local stories to breaking news and ... Nexstar's platform delivers exceptional local content and network programming to inform and ...

... data, and helping to report news -- everything from quick-hit local stories to breaking news and ... Nexstar's platform delivers exceptional local content and network programming to inform and ...

... data, and helping to report news -- everything from quick-hit local stories to breaking news and ... Nexstar's platform delivers exceptional local content and network programming to inform and ...

... data. Ensure safety of navigation, access to denied waters, freedom to maneuver at will, and ... Must have completed a full college calculus series (I and II) with a minimum 'C' average, and a ...

Showing results 41-59

Full Stack Data Engineer information

See Conway, SC salary details

$41.2K

$124.8K

$176.4K

How much do full stack data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full stack data engineer in Conway, SC is $124,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $146,300.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

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

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What cities near Conway, SC are hiring for Full Stack Data Engineer jobs?

Cities near Conway, SC with the most Full Stack Data Engineer job openings:

Information Technology Specialist (DATAMGT)

Criminal Investigation & Law Enforcement | IRS Careers

Myrtle Beach, SC • On-site

$125K/yr

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.


Internal Revenue Service rating

7.4

Company rating: 7.4 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

158th of 297 rated public sector bodies


Job description

WHAT IS INFORMATION TECHNOLOGY?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
  • Position(s) are to be filled in following area(s):
    • IT - Data and Platform Engineering - Data and Reporting
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
Minimum requirements for Grade 12 and UP (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8) Teamwork and 9) Technical Competence.
Specialized Experience GS-14 Level: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service, specialized experience includes:

  • Leading or coordinating IT projects, application-related efforts, operational initiatives, or system-related activities that affect multiple users, teams, programs, or business processes.
  • Applying advanced IT principles, concepts, methods, and practices to evaluate requirements; resolve technical issues; guide system, application, or code testing and configuration decisions; and ensure technical documentation and federal cybersecurity, privacy, or regulatory requirements are addressed.
  • Engaging customers, stakeholders, users, product or business owners, and technical teams to define business or technical requirements, communicate technical impacts, and guide delivery of secure, reliable, scalable IT solutions.
  • Evaluating system, service, or application performance, availability, reliability, security controls, usability, and operational effectiveness; identifying risks, issues, defects, or gaps; and leading corrective actions or improvement efforts.
  • Analyzing competing technical approaches and providing authoritative recommendations to management, stakeholders, or IT specialists on the selection, design, configuration, implementation, or improvement of IT solutions with organizational impact.
  • Experience designing, developing, testing, deploying, and maintaining ETL and ELT pipelines that ingest structured and unstructured data, apply transformation rules, manage processing failures, and publish curated datasets using distributed data processing platforms (e.g., Databricks, Apache Spark).
  • Experience defining and implementing logical and physical data models, schemas, semantic mappings, metadata standards, and tiered data structures to maintain consistent data definitions and relationships across systems and platforms.
  • Experience implementing source control, peer review, automated testing, workflow orchestration, and continuous integration and continuous deployment (CI/CD) processes using source code management and automation tools (e.g., GitHub, GitHub Actions) to promote code and data pipeline changes through development, testing, and production environments.
  • Experience preparing and maintaining system documentation, data dictionaries, architecture and data flow diagrams, interface specifications, deployment procedures, and operational runbooks to support system deployment, maintenance, troubleshooting, and audit reviews.
  • Experience translating organizational objectives into data and artificial intelligence (AI) infrastructure requirements, implementation tasks, acceptance criteria, and operational controls to deliver solutions that support defined mission outcomes and comply with applicable policies.

AND
You must also meet the following requirement(s):

  • PERFORMANCE RATING: Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration.
  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
  • TIME IN GRADE (TIG): Federal employees must meet time-in-grade requirements. For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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