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Remote Data Engineer Jobs in Pea Ridge, AR (NOW HIRING)

HonorVet Technologies

Data Engineer

Bentonville, AR · Remote

$97.50K - $117K/yr

Remote Role Job Summary We are seeking a highly skilled Azure Data Engineer with deep expertise in Azure Databricks , Azure Data Factory , and ETL automation . The ideal candidate will have extensive ...

Redolent, Inc

Data Engineer

Bentonville, AR · On-site +1

$100.40K - $120.50K/yr

Bentonville AR or Remote Duration: 6 to 12+ Months Rate: DOE Required skills - Spark, Cassandra, GCP, Kafka ( experience with data pipelines ) Description: Designs, develops, and implements Hadoop ...

Walmart

Principal, Software Engineer

Bentonville, AR · Remote

$118.30K - $158.70K/yr

Principal Software Engineer Company Description Imagine working in an environment where you can ... MongoDB andCosmosDBpreferred Experience with Apache Kafka Experience working with remote data via ...

UST Inc

Data Analyst

Bentonville, AR · On-site +1

$70K - $105K/yr

Role description Data Analyst Lead I - Data Engineering Who We Are: Born digital, UST transforms ... Remote-US Compensation Range : $70,000-$105,000 Benefits Full-time, regular employees accrue a ...

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How much do remote data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data engineer in Pea Ridge, AR is $111,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $118,100.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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 in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

More about Remote Data Engineer jobs
What cities near Pea Ridge, AR are hiring for Remote Data Engineer jobs? Cities near Pea Ridge, AR with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Data Engineer

Data Engineer

HonorVet Technologies

Bentonville, AR • Remote

$97.50K - $117K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: Data Engineer
Job ID: 150409
Duration: 12+ Months (W2 Only)
Location: Remote Role
Job Description:
Job Summary
We are seeking a highly skilled Azure Data Engineer with deep expertise in Azure Databricks, Azure Data Factory, and ETL automation. The ideal candidate will have extensive experience designing and optimizing large-scale data pipelines, working with PHI/PII / HIPAA-protected healthcare data, and implementing secure, compliant, and efficient data processing solutions in the cloud.
Key Responsibilities
  • Design, develop, and maintain scalable ETL pipelines using Azure Databricks and Azure Data Factory.
  • Build and optimize data lakes and backend architectures for large datasets.
  • Collaborate with data architects, DBAs, product owners, and stakeholders to align technical solutions with business needs.
  • Develop ETL automation processes in Python and Databricks, focusing on performance, scalability, and reliability.
  • Ensure HIPAA compliance when working with PHI/PII by implementing data privacy and security measures (e.g., tokenization, encryption).
  • Integrate data across systems, including using middleware solutions such as MuleSoft for SAP-to-Databricks processing.
  • Drive data transformation and automation initiatives to support advanced analytics and reporting needs.

Required Qualifications
  • 5+ years experience in Azure Databricks and ETL development.
  • Strong experience with Azure Data Factory for data orchestration and automation.
  • Proven expertise in ETL automation for large, complex datasets.
  • Solid Python programming skills for data engineering tasks.
  • Experience working with healthcare or pharma data, including PHI/PII, and ensuring compliance with HIPAA.
  • Strong understanding of data lake architectures and large-scale data processing in Azure.

Preferred Skills
  • Experience with MuleSoft or other middleware for system integrations.
  • Familiarity with SAP data integration in a cloud environment.
  • Strong problem-solving and performance optimization skills in big data environments.

What Will Set You Apart
  • Demonstrated success in healthcare data engineering projects with strict compliance requirements.
  • Proven track record of delivering high-performance, automated ETL solutions in Azure.
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About HonorVet Technologies

Sourced by ZipRecruiter

HonorVet Technologies, located in Fairfield, NJ, US, is a technology-driven company with a unique dimension - enhancing veteran engagement in the workforce. Founded with the goal of supporting and preserving professional veterans while satisfying the IT and professional needs of businesses, HonorVet Technologies brings a particular focus to diversity and veteran hiring, making it a standout player in the IT and Staffing industries. Functioning as a veteran-driven community entity, the firm offers IT staffing, bespoke development, and consulting services, with the aim of connecting talents with IT-related job opportunities.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Fairfield , NJ, US

Year founded

2015

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