ZipRecruiter

Log In

1

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

Bespoke Labs

Machine Learning Engineer

Conway, SC

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward ... Integrate RL environments into the training stack, working with environment authors on interfaces ...

Bespoke Labs

Machine Learning Engineer

Conway, SC · On-site

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward ... Integrate RL environments into the training stack, working with environment authors on interfaces ...

Sibelco

Pilot Plant Controls Engineer

Red Hill, SC

$74K - $87K/yr

... full-scale production. This position requires a strong background in chemical engineering and ... Collaborate with R&D scientists to understand experimental data and translate laboratory-scale ...

iHeartMedia

Programming

Myrtle Beach, SC

We have the only complete audio ad technology stack in the industry for all forms of audio , from ... Full proficiency and understanding of job function * Open communication with colleagues and direct ...

next page

Showing results 1-20

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Conway, SC

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 5, 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:

Full Stack Data Engineer jobs near you

Full-Stack Engineer at early-stage consumer social app

Cheez

Conway, SC

Full-time

Re-posted 16 days ago

Job description

Cheez (https://cheez.cc/wayupeng) is a new app that sends you the pictures that your friends take of you, powered by facial recognition.

Responsibilities:

  • Collaborate with product and design teams (ex-Google/FB/Apple/Microsoft) to develop, test, and launch new features and improvements for our consumer social app.

  • Write clean, maintainable, and scalable code using modern web development technologies and best practices.

  • Develop and maintain both front-end and back-end components, ensuring seamless integration and optimal performance.

  • Troubleshoot and debug issues, implement fixes, and optimize application performance.

  • Participate in code reviews, provide constructive feedback, and contribute to a positive team culture.

  • Stay up-to-date with emerging technologies, industry trends, and best practices to continuously improve our product and development processes.

  • Contribute to our agile development methodology, attending daily stand-ups, sprint planning, and retrospective meetings.

  • Minimum 2-3 years of software engineering experience

  • Have built mobile apps (and/or web apps) full-stack before

  • Enthusiastic about photo sharing and/or AI and/or social media

Apply