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Full Time Remote Data Engineer Jobs in Texas (NOW HIRING)

Resource Innovations

Energy Engineer

Dallas, TX · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Confie

Data Transformation Engineer

Addison, TX · On-site +1

$130K - $150K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... in data engineering, continuously improving the team's technical knowledge and skills On-call ...

Kemper

Senior Data Systems Analyst

Dallas, TX · Remote

$85K - $107K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Partner with engineering and operational teams to prioritize remediation activities. * Track ...

BNSF Railway

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

This is a full-time remote position. Employees may work from anywhere within the contiguous 48 ... Advanced proficiency in programming languages such as Python, R, SQL, and Java. * Demonstrated ...

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... S.-Based Benefits + Perks (for Full Time Employees): At SpyCloud, we are committed to working ...

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Full Time Remote Data Engineer information

What does a full time remote data engineer do?

A Full Time Remote Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases from a remote location. They work with large sets of data, ensuring it is collected, stored, and processed efficiently for analysis and business decision-making. These engineers collaborate with data scientists, analysts, and other stakeholders to provide reliable data infrastructure while using tools such as SQL, Python, and cloud platforms. Working remotely, they leverage communication tools and version control systems to stay connected with their teams and manage projects effectively.

What are the key skills and qualifications needed to thrive as a full time remote data engineer?

To thrive as a Full Time Remote Data Engineer, you need strong programming skills (such as Python or Scala), a solid understanding of data modeling, and experience with database systems, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications (e.g., Google Cloud Professional Data Engineer) is typically required. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive. These competencies ensure robust, scalable data solutions and seamless teamwork across distributed environments.

How do full time remote data engineers typically collaborate with cross-functional teams while working remotely?

Full Time Remote Data Engineers often work closely with data scientists, analysts, and software developers through virtual collaboration tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular stand-up meetings, sprint planning sessions, and code reviews are common practices to ensure alignment and smooth workflow across different time zones. Clear documentation, proactive communication, and sharing progress updates are essential for overcoming the challenges of remote teamwork and ensuring project goals are met efficiently.

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

AspectFull Time Remote Data EngineerFull Time Remote Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certifications (e.g., Google Cloud Professional Data Engineer)Bachelor's in Statistics, Data Analysis certifications (e.g., Microsoft Certified Data Analyst)
Work EnvironmentDesigning data pipelines, managing databases, coding in Python, SQL, cloud platformsInterpreting data, creating reports, visualizations, using Excel, Tableau, SQL
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, consulting, finance, retail

Full Time Remote Data Engineers focus on building and maintaining data infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data and create insights, often using visualization tools. Both roles are in high demand for remote work, but they serve different functions within organizations.

What are the most commonly searched types of Remote Data Engineer jobs in Texas?

The most popular types of Remote Data Engineer jobs in Texas are:

What cities in Texas are hiring for Full Time Remote Data Engineer jobs?

Cities in Texas with the most Full Time Remote Data Engineer job openings:

Full Time Remote Data Engineer jobs near you

Sr. Systems Engineer (AWS Data Engineer)

El Paso, TX • On-site, Remote

Science Applications International Corporation
IT Services • 10K+ employees
Learn more about Science Applications International Corporationexternal

$94K - $129K/yr

Full-time

Posted 17 days ago

SAIC rating

7.7

Company rating: 7.7 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

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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