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Remote Data Engineering Jobs in Dallas, TX (NOW HIRING)

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$109K - $131K/yr

The ideal candidate will have at least 5 years of experience in data engineering, a deep understanding of distributed systems, and proficiency with AWS services and tools like Step Functions, Lambda ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

American Workforce Solutions LLC

Be Seen First

Sr. Data Architect (Remote)

Dallas, TX · Remote

$167K - $184K/yr

Use Pandas and other AWS-native tooling for data engineering and analysis * Architect data ... Remote -- work environment is at home. Occasional flexible hours may be required to support cross ...

New

American Workforce Solutions LLC

Be Seen First

Sr. Data Architect (Remote)

Dallas, TX · Remote

$167K - $184K/yr

Use Pandas and other AWS-native tooling for data engineering and analysis * Architect data ... Remote -- work environment is at home. Occasional flexible hours may be required to support cross ...

New

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 ...

IT America Inc

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and a contract to hire. Must be a Visa Independent ...

Young Presidents' Organization

Data Engineer

Irving, TX · On-site +1

$108K - $130K/yr

Bachelor's degree in data engineering or at least 8+ years of comparable professional experience in a data engineering role. Master's degree preferred. * Prefer 5+ years' experience working as a data ...

Tapcheck

Data Analyst

Plano, TX · Remote

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Lead metric alignment conversations with Data, Product, and Engineering; represent Support ...

CVS Health

Sr. Data Engineer

Irving, TX · On-site +1

$114K - $185K/yr

Hybrid position: remote work permitted but must live within commuting distance of designated office ... Writing Extract/Transform/Load (ETL) processes; and Data analytics, data engineering, and data ...

CVS Health

Data Engineer

Irving, TX · On-site +1

$141K - $144K/yr

... engineering problems and develop, build and manage large-scale data structures, pipelines and ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

Protagona

Data Engineer

Dallas, TX · Remote

Experience in data engineering with an emphasis on data pipelines, analytics and reporting * Exposure to the AWS Cloud Platform * Experience in SQL, data transformations, and troubleshooting across ...

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Showing results 21-40

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Dallas, TX

Remote Data Engineering information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do remote data engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data engineering in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

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?

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.

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 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 Dallas, TX?

The most popular types of Data Engineering jobs in Dallas, TX are:

What are popular job titles related to Remote Data Engineering jobs in Dallas, TX?

For Remote Data Engineering jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in Dallas, TX look for?

The top searched job categories for Remote Data Engineering jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Data Engineering jobs?

Cities near Dallas, TX with the most Remote Data Engineering job openings:

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

AWS Data Engineer - Fully Remote - US Only

Scalepex

Plano, TX • Remote

$109K - $131K/yr

Full-time

Re-posted 4 days ago

Job description

Why Scalepex?

Scalepex is a dynamic services firm specializing in providing solutions for premium brands like Nike, Pepsi, Toyota, Virgin and Walgreens. Our mission is to connect prominent market leaders with top-tier professionals from around the world, fostering collaboration, efficiency, and growth.

Take your portfolio to the next level by working with one of our fastest growing clients.

Join the Innovation Frontier at Scalepex!

About the Role

We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have at least 5 years of experience in data engineering, a deep understanding of distributed systems, and proficiency with AWS services and tools like Step Functions, Lambda, Glue, and Redshift. This role will focus on designing, developing, and optimizing data pipelines to support analytics and decision-making in the utilities industry.

Key Responsibilities

  • Design and Build Data Pipelines: Develop scalable, reliable data pipelines using AWS services (e.g., Glue, S3, Redshift) to process and transform large datasets from utility systems like smart meters or energy grids.
  • Workflow Orchestration: Use AWS Step Functions to orchestrate workflows across data pipelines; experience with Airflow is acceptable but Step Functions is preferred.
  • Data Integration and Transformation: Implement ETL/ELT processes using PySpark, Python, and Pandas to clean, transform, and integrate data from multiple sources into unified datasets.
  • Distributed Systems Expertise: Leverage experience with complex distributed systems to ensure reliability, scalability, and performance in handling large-scale utility data.
  • Serverless Application Development: Use AWS Lambda functions to build serverless solutions for automating data processing tasks.
  • Data Modeling for Analytics: Design data models tailored for utilities use cases (e.g., energy consumption forecasting) to enable advanced analytics
  • Optimize Data Pipelines: Continuously monitor and improve the performance of data pipelines to reduce latency, enhance throughput, and ensure high availability.
  • Ensure Data Security and Compliance: Implement robust security measures to protect sensitive utility data and ensure compliance with industry regulations.

Requirements

Required Qualifications

  • Minimum of 5 years of experience in data engineering
  • Proficiency in AWS services such as Step Functions, Lambda, Glue, S3, DynamoDB, and Redshift.
  • Strong programming skills in Python with experience using PySpark and Pandas for large-scale data processing.
  • Hands-on experience with distributed systems and scalable architectures.
  • Knowledge of ETL/ELT processes for integrating diverse datasets into centralized systems.
  • Familiarity with utilities-specific datasets (e.g., smart meters, energy grids) is highly desirable.
  • Strong analytical skills with the ability to work on unstructured datasets.
  • Knowledge of data governance practices to ensure accuracy, consistency, and security of data.
  • Strong experience in AWS data engineering
  • Ability to work independently
  • Ability to work with a cross-functional teams, including interfacing and communicating with business stakeholders
  • Professional oral and written communication skills
  • Strong problem solving and troubleshooting skills with experience exercising mature judgement
  • Excellent teamwork and interpersonal skills
  • Ability to obtain and maintain the required clearance for this role

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