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Remote Data Engineer Jobs in El Paso, TX (NOW HIRING)

GDS Associates Inc

Field Engineer

El Paso, TX · Remote

This is a remote position based in Texas. As a Field Engineer, you'll design distribution and/or ... Position will require travel to client sites with outside field work collecting GPS data and pole ...

GDS Associates Inc

Field Engineer

El Paso, TX · Remote

This is a remote position based in Texas. As a Field Engineer, you'll design distribution and/or ... Position will require travel to client sites with outside field work collecting GPS data and pole ...

GDS Associates Inc

Field Engineer

El Paso, TX · Remote

This is a remote position based in Texas. As a Field Engineer, you'll design distribution and/or ... Position will require travel to client sites with outside field work collecting GPS data and pole ...

Workiva

Spring 2027 Intern - Data Analytics

El Paso, TX · On-site +1

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in El Paso, TX

Remote Data Engineer information

See El Paso, TX salary details

$40.2K

$117.3K

$160.5K

How much do remote data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data engineer in El Paso, TX is $117,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $124,400.00 per year, depending on experience, location, and employer.

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 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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in El Paso, TX?

The most popular types of Data Engineer jobs in El Paso, TX are:

What are popular job titles related to Remote Data Engineer jobs in El Paso, TX?

For Remote Data Engineer jobs in El Paso, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in El Paso, TX look for?

The top searched job categories for Remote Data Engineer jobs in El Paso, TX are:

What cities near El Paso, TX are hiring for Remote Data Engineer jobs?

Cities near El Paso, TX with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in El Paso, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,321 per year, or $56.4 per hour.

Sr. Systems Engineer (AWS Data Engineer)

Science Applications International Corporation

El Paso, TX • On-site, Remote

$94K - $129K/yr

Full-time

Posted 8 days ago

SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 rated it services

Job description


SAIC is searching for a motivated, career and customer-oriented Sr. AWS Data Engineer who will lead the next phase of our healthcare data platform modernization. This role is central to our evolution from an MSSQL XML object store toward a scalable, cloud-native AWS data architecture - one that enables business stakeholders and analysts to run performant, SQL-based reports and queries against our healthcare data seamlessly. This person will help evaluate and decide the right AWS data strategy for our platform. This is a 100% Remote role.
Job Description
  • Evaluate and recommend the optimal AWS-native data storage and query architecture for our XML object store data - assessing options such as S3 + Athena, Aurora, DynamoDB, Redshift, and OpenSearch based on query patterns, reporting needs, cost, and scalability
  • Design and build the reporting and query layer that allows business stakeholders and non-technical users to run relational SQL queries against healthcare data using familiar tooling
  • Architect the migration path for XML object store data from MSSQL into the target AWS platform, defining storage formats, partitioning strategies, and data organization for optimal query performance
  • Build and maintain AWS data catalog, schemas, and metadata management so that object store data is discoverable and queryable by business users
  • Optimize query performance and cost across chosen AWS services - partitioning, compression, file formats, and query pattern tuning
  • Work directly with business stakeholders and analysts to understand reporting requirements and translate them into durable, performant data models and query patterns
  • Collaborate with backend C#/.NET engineers to ensure data flows cleanly from EDI processing pipelines into the new data layer
  • Implement and maintain CI/CD pipelines for data infrastructure using AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy)
  • Apply infrastructure as code (IaC) practices using AWS CDK, CloudFormation, or Terraform
  • Document architecture decisions, data flows, and data dictionaries clearly for both technical and non-technical audiences

Qualifications
Education
  • Bachelor's or Master's degree in computer science, Engineering, or a related technical discipline required; equivalent practical experience considered

Experience
  • Minimum 8 years of experience in software or data engineering with a strong AWS focus
  • Proven experience architecting and executing cloud data platform migrations in production enterprise or healthcare environments
  • Track record of evaluating and selecting AWS data services to meet business reporting and query requirements
  • Experience delivering reporting or analytics solutions that serve non-technical business users

Requirements
Core Technical
  • Deep hands-on AWS experience across data-oriented services - S3, Athena, Glue, Aurora, DynamoDB, Redshift, OpenSearch, Lambda, IAM, CloudWatch
  • Strong SQL skills - ability to design relational query layers over semi-structured or non-relational data (XML, JSON)
  • Experience working with XML-heavy data stores - parsing, querying, and transforming XML at scale
  • Ability to evaluate trade-offs across AWS data services and make architecture recommendations based on cost, performance, and business requirements
  • Familiarity with AWS analytics and reporting services - Athena, QuickSight, Redshift, or equivalent BI tooling
  • Proficient with Git and GitHub - branching strategies, pull requests, collaborative workflows
  • Familiarity with CI/CD practices and AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy)
  • Infrastructure as code experience (AWS CDK, CloudFormation, or Terraform)

Process & Soft Skills
  • Strong ability to communicate technical architecture decisions and trade-offs to non-technical stakeholders
  • Experience gathering and translating business reporting requirements into technical data models
  • Comfortable driving ambiguous architecture decisions to resolution with limited direction
  • Experience with agile methodologies (Scrum, Kanban) and JIRA
  • Strong documentation habits - architecture diagrams, data dictionaries, migration runbooks

Nice to Have
  • Experience with healthcare data formats - X12 EDI (837, 835, 277CA), HL7, FHIR
  • Familiarity with C#/.NET backend services for integration touchpoints
  • Experience with Entity Framework migration or deprecation projects
  • Knowledge of HIPAA compliance requirements in cloud data architecture
  • Experience with healthcare payer/PBM systems, clearinghouses, or pharmacy operations
  • AWS certification is a bonus

Clearance Requirement: US Citizenship required with the ability to obtain and maintain a Public Trust clearance
About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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