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Data Engineer Remote Contract Jobs in Prosper, TX

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary Responsibilities: * Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern ...

"DATA ENGINEER"

Dallas, TX ยท 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 ...

Senior Data Engineer - INDIA

Prosper, TX ยท On-site +1

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local to INDIA are eligible. *No visa Sponsorship Primary Responsibilities: * Design, develop, and ...

Refinery Data Engineer

Dallas, TX ยท Remote

$45 - $47.33/hr

REMOTE 8+ month contract for a Refinery Data Engineer role with a leading oil/energy client. APPLY NOW!!!! Title: Refinery Data Engineer Location: 100% remote-flex with time zones Type: Contract Pay ...

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives ...

New

Senior ML Data Engineer - Remote

Plano, TX ยท On-site +1

$110K - $132K/yr

Senior ML Data Engineer Feature Engineering ETL Qualifications 7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML ...

Data Engineer

Dallas, TX ยท On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Data Engineer

Dallas, TX ยท On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Sr. Data Engineer

Richardson, TX ยท Remote

$104K - $124K/yr

Enforce strict data contracts and schema evolution guidelines to maintain high data quality and ... Remote-first environment offering flexibility, autonomy, and trust.

Data Engineer

Dallas, TX ยท On-site +1

$100K - $120K/yr

Data Engineer REPORTS TO: Director, Engineering SUPERVISES: None JOB CLASS: Exempt Purpose: Data ... General office working conditions can be remote work from home or in the office. Each department ...

Contract Compensation: $90.32 Work Model: Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and ...

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term contract Job Summary: We're looking for a dynamic data engineer with Apache Spark and AWS experience ...

Contract Compensation: $90.32 Work Model: Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and ...

Contract Compensation: $90.32 Work Model: Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and ...

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Data Engineer Remote Contract information

See Prosper, TX salary details

$40.8K

$118.8K

$162.6K

How much do data engineer remote contract jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer remote contract in Prosper, TX is $118,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $125,900.00 per year, depending on experience, location, and employer.

What is a data engineer remote contract?

A Data Engineer Remote Contract position involves building and maintaining the infrastructure and systems that enable organizations to collect, store, and analyze large amounts of data, all while working remotely. As a contractor, you are typically hired for a specific project or period and are not a permanent employee. This role often includes tasks like designing data pipelines, optimizing database performance, ensuring data quality, and collaborating with data scientists and analysts. Working remotely provides flexibility in location, but contractors are expected to communicate regularly with teams and meet project deadlines.

What are the key skills and qualifications needed to thrive as a data engineer in a remote contract role?

To thrive as a Data Engineer in a remote contract position, you need strong programming skills (such as Python or Java), deep knowledge of database systems, and a background in computer science or a related field. Proficiency with data pipeline tools (like Apache Airflow), cloud platforms (such as AWS or Azure), and ETL processes, along with relevant certifications, is highly valued. Excellent problem-solving abilities, clear communication, and self-motivation are key soft skills, especially when working independently or with distributed teams. These skills ensure the reliable design, development, and maintenance of scalable data systems, which are critical for organizations to leverage data effectively.

What are some common challenges faced by data engineers working remotely on contract assignments?

Data Engineers working remotely on contract assignments often navigate challenges such as aligning with distributed teams across different time zones, ensuring secure access to sensitive data, and maintaining clear communication with stakeholders. Since contractors may work with diverse tech stacks across projects, adapting quickly to new tools and company-specific data infrastructures is essential. Additionally, balancing multiple deliverables and onboarding efficiently without in-person support requires strong self-management and proactive collaboration skills.

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

AspectData Engineer Remote ContractData Analyst Remote Contract
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting and visualization tools
Employer & Industry UsageTech, finance, healthcareMarketing, retail, consulting
Common Search & ComparisonYesYes

The main difference between Data Engineer Remote Contract and Data Analyst Remote Contract lies in their focus and skill sets. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in cloud platforms and programming. Data Analysts interpret data, create reports, and visualize insights. Both roles are remote and industry-specific, but they serve different functions within organizations.

What are popular job titles related to Data Engineer Remote Contract jobs in Prosper, TX? For Data Engineer Remote Contract jobs in Prosper, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer Remote Contract jobs in Prosper, TX look for? The top searched job categories for Data Engineer Remote Contract jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Data Engineer Remote Contract jobs? Cities near Prosper, TX with the most Data Engineer Remote Contract job openings:
Infographic showing various Data Engineer Remote Contract job openings in Prosper, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,793 per year, or $57.1 per hour.

Senior Data Engineer - Remote

Vytwo

Prosper, TX โ€ข Remote

$55 - $60/hr

Full-time

Re-posted 4 days ago


Job description

Role: Senior Data Engineer
Remote Work
*Must be a US Citizen* & have a USA Passport
Primary Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads.
  • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
  • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
  • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
  • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
  • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
  • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
  • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
  • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
  • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
  • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
  • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

  • 7+ years of experience in data engineering, software engineering, or similar disciplines
  • Hands-on experience with Databricks or Snowflake
  • Experience with orchestration tools such as Apache Airflow
  • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
  • Advanced SQL skills and experience with OLTP and OLAP data modeling
  • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
  • Familiarity with data governance tools, especially Microsoft Purview
  • Solid programming expertise in Python, PySpark, or similar languages
  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment
  • Must be a US Citizen
Preferred Qualifications:

  • Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
  • Experience with containerization (Docker, Kubernetes) for data workloads
  • Experience supporting machine learning workflows or analytical data science pipelines
  • Knowledge of distributed computing concepts and performance tuning

This is a remote position.