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Remote Data Engineering Jobs in Arkansas (NOW HIRING)

Ocean Spray

Environmental Engineer

Bentonville, AR · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Strong analytical, problem-solving, and data interpretation skills * Project management skills with ...

ENFRA LLC

Energy Engineer PE II

Little Rock, AR · On-site +1

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

ENFRA LLC

Energy Engineer PE II

Little Rock, AR · On-site +1

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

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Showing results 1-20

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Arkansas

Remote Data Engineering information

See Arkansas salary details

$36.8K

$107.3K

$146.8K

How much do remote data engineering jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data engineering in Arkansas is $107,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $113,700.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools 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.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Arkansas? The most popular types of Data Engineering jobs in Arkansas are:
What are popular job titles related to Remote Data Engineering jobs in Arkansas? For Remote Data Engineering jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Arkansas look for? The top searched job categories for Remote Data Engineering jobs in Arkansas are:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Arkansas as of July 2026, with employment types broken down into 72% Full Time, 17% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $107,263 per year, or $51.6 per hour.
Supervisor - Data Services -- Remote

Supervisor - Data Services -- Remote

USAble Life

Little Rock, AR • On-site, Remote

$87K - $160K/yr

Full-time

Retirement, PTO

Re-posted 10 hours ago

Job description

When it comes to making a meaningful difference in the lives of our customers and employees, USAble Life is always ready. We are a diverse group of individuals working together to go the extra mile. Through our DEI initiatives, employees feel empowered to bring their talents and voice to our culture.
Our passion for delivering the best products is matched only by our passion for our people. We are committed to making a meaningful difference in the lives of others which extends beyond our office walls. USAble Life has a long tradition of supporting our communities, and we're proud of the fact that our employees share that commitment.
We have been recognized as a "Best Places to Work" in Arkansas, Florida, and Hawaii. You'll be rewarded with opportunities for personal and professional development and opportunities for advancement. This, coupled with our engaging culture and a comprehensive benefits package, ensures we are committed to our employees.
Check out how we make a meaningful difference in the lives of others!
https://player.vimeo.com/video/518665804
What We Offer You:
  • A culture that values employees and celebrates, empowers, and inspires a diverse workforce
  • Outstanding and affordable benefits package
  • PTO provided at date of hire
  • 11 paid holidays
  • 401(k) with up to 6% match; fully vested from day 1
  • Remote opportunities with company-provided equipment
  • Team-oriented, collaborative group of peers
  • Career advancement opportunities
  • Leadership mentoring program
  • Tuition Reimbursement
  • Employee Assistance Program
  • Inclusion Council and Employee Resource Groups
  • Recharge Days and Volunteer Time Off
  • This is a remote position.

Life Takes You Places! Are you ready to join us?
The full salary range for the Supervisor - Data Services is $87,000 - 160,000. Actual salaries will vary by geographic location and are based on factors such as candidate's qualifications, experience, skills, competencies, and company tenure & equity. In addition to base compensation, this role is eligible for an annual incentive plan based on company performance and individual performance.
Supervisor - Data Services Overview
Supervises the day-to-day work performed by the Data Services team, with a focus on Data Engineering, BI Reporting, and Data Operations / Production Support. This is a hands-on leadership role responsible for work planning, team execution, and operational reliability of data pipelines, data stores, and reporting deliverables. Partners closely with IT and business stakeholders to deliver trusted data products and analytics while embedding data management and data governance best practices (metadata, lineage, data quality, access controls, and standards) into delivery and operations. Responsible for ensuring corporate data assets and reporting outputs supported by the team align with IT policies, security requirements, and applicable regulatory requirements (e.g., HIPAA, Sarbanes-Oxley).
Essential Duties:
  • Supervises day-to-day execution across Data Engineering, BI Reporting, and Data Operations / Production Support; assigns work, balances priorities, and removes blockers
  • Participates in technical planning for data platform, database, and reporting initiatives; translates roadmap items into executable work
  • Evaluates operational data and reporting needs; partners with stakeholders to gather requirements and recommend solutions
  • Plans and tracks delivery for planned and ad hoc work (work requirements, sequencing, estimates, and status reporting)
  • Provides technical direction (standards, troubleshooting, work procedures) and supports code/solution reviews and operational readiness
  • Makes recommendations regarding priorities, operational improvements, and data service practices that influence outcomes for the broader functional area
  • Leads incident response for data pipelines and reporting: triage, root cause analysis, corrective actions, and documentation
  • Oversees production support practices (monitoring/alerting, deployments, scheduled jobs, runbooks) to meet reliability and SLA expectations
  • Evaluates and helps implement new data tools/solutions; supports integration of new technologies and initiatives (readiness, migrations, knowledge transfer)
  • Ensures adoption of data governance and data management practices (metadata, lineage, data quality monitoring, access controls, and reporting governance)
  • Ensures data and information security practices are followed, including least-privilege access and secure handling of sensitive data (e.g., PHI)
  • Ensures work is performed in accordance with company policies, department procedures, and established technical standards; reinforces consistent execution across the team
  • Coordinates work intake and delivery with customers, vendors/Partners, and other IT teams; communicates status, risks, and dependencies
  • Monitors individual and team performance (timeliness, quality, and SLA adherence); provides feedback, coaching plans, and follow-up to close performance gaps
  • Performs other related duties and responsibilities as assigned

Required Knowledge, Skills, and Abilities:
  • Knowledge of data engineering concepts and practices (data integration, ETL/ELT, scheduling/orchestration, reliability, and operational support)
  • Knowledge of BI/reporting concepts, including semantic layers, report development lifecycle, and supporting consistent metric definitions
  • Working knowledge of data management and data governance practices, including metadata, lineage, data quality, stewardship, and reporting governance
  • Ability to lead day-to-day work delegation, prioritize competing demands, and coordinate delivery across multiple workstreams
  • Strong customer partnership skills, including requirements clarification, expectation setting, and communicating status/risks clearly
  • Strong analytical and problem-solving skills, including incident triage, root cause analysis, and preventive improvement mindset
  • Understanding of security, compliance, and data protection expectations (e.g., HIPAA/PHI, regulatory reporting, retention, appropriate access controls)
  • Strong verbal and written communication skills and ability to collaborate effectively with technical and non-technical stakeholders
  • Understanding of project delivery practices and basic project management concepts (planning, sequencing, dependencies, and milestones)

Required Education and Experience:
  • Bachelor's Degree. May substitute equivalent work experience or demonstrated competency for education
  • 3 - 5 years' experience as a Team Lead
  • 7+ years IT experience, with 5 of those years focusing on building large scale application development and application system design
  • Experience managing customer requirements or demands
  • Or, equivalent military experience

Preferred Education and Experience:
  • Master's Degree in Computer Science or related technical field
  • Experience leading or serving as a team lead in one or more areas: data engineering, BI/reporting, or data operations/production support
  • Experience with a BlueCross BlueShield Plan or other health and/or life insurance-related company
  • Experience working in regulated data environments and supporting data governance practices (metadata, lineage, data quality, access controls)
  • Experience with enterprise data warehouse/data repository concepts and supporting large corporate data repositories, reporting, data marts, and analytics consumers
  • Experience leading project teams including meeting deliverable dates, leading a work team(s) and direct customer contact
  • Experience managing customer requirements or demands

Working Conditions (Physical Demands):
  • Normal, no adverse or hazardous conditions

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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