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Data Engineer Remote Contract Jobs in Houston, TX

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... Build MLOps pipelines for structured/unstructured data. * Implement observability, monitoring, and ...

The Principal Data Engineer partners with technology, governance, analytics, and business ... Remote 100% within Texas only Why Us? UT MD Anderson offers the opportunity to lead transformative ...

The Principal Data Engineer partners with technology, governance, analytics, and business ... Remote 100% within Texas only Why Us? UT MD Anderson offers the opportunity to lead transformative ...

The Principal Data Engineer partners with technology, governance, analytics, and business ... Remote 100% within Texas only Why Us. UT MD Anderson offers the opportunity to lead transformative ...

Senior Software Engineer - Remote

Texas City, TX · Remote

$104K - $138K/yr

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

New

Houston - Remote Contract - Long Term Contract Description: • Proven expertise in developing applications using the Smalltalk programming language • Strong background in Object-Oriented Analysis ...

As our GTM Engineer, you'll own the infrastructure that connects our data, campaigns, and revenue ... impression to signed contract. * Reduce GTM stack fragmentation: identify redundant tools ...

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Showing results 1-20

Data Engineer Remote Contract information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

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

As of Jul 27, 2026, the average yearly pay for data engineer remote contract in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

What is a Data Engineer Remote Contract position?

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, and why are they important?

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 the most commonly searched types of Data Engineer Remote jobs in Houston, TX? The most popular types of Data Engineer Remote jobs in Houston, TX are:
What are popular job titles related to Data Engineer Remote Contract jobs in Houston, TX? For Data Engineer Remote Contract jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer Remote Contract jobs in Houston, TX look for? The top searched job categories for Data Engineer Remote Contract jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Engineer Remote Contract jobs? Cities near Houston, TX with the most Data Engineer Remote Contract job openings:
Infographic showing various Data Engineer Remote Contract job openings in Houston, TX as of July 2026, with employment types broken down into 61% Full Time, 21% Part Time, 1% Temporary, and 17% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.
Data Engineer - Palantir Foundry _____ Remote (TX, USA) ____ Contract

Data Engineer - Palantir Foundry _____ Remote (TX, USA) ____ Contract

Acestack

Houston, TX • Remote

$117K - $140K/yr

Contractor

Posted 9 days ago


Job description

Job Title: Data Engineer – Palantir Foundry
Location: Remote – TX, USA
Long Term Contract


Position Overview
We are looking for a highly experienced and motivated Data Engineers to join our team. This role is ideal for someone with a strong background in PySpark, Python, and SQL, and deep expertise in Palantir’s Foundry data platform. You will be responsible for designing, developing, and optimizing scalable data pipelines to support critical business operations and analytics.
Key Responsibilities
• Develop and maintain robust data pipelines using Palantir Foundry.
• Ingest data from diverse sources (on-premises, cloud, REST APIs, files) into Foundry via Magritte.
• Author and optimize SQL queries for relational databases.
• Prepare, wrangle, visualize, and report data using Foundry tools (Code Workbook, Contour, Fusion, Spreadsheet).
• Troubleshoot and resolve pipeline-related issues to ensure performance and scalability.
• Collaborate with business analysts and subject matter experts to scope and analyze new integration use cases.
• Design data models and perform data cleansing and transformation.
• Build and manage product backlogs and user stories aligned with agile methodologies.
• Create and manage project deliverables across the application development lifecycle.
Qualifications
• Foundry Certified
• 5+ years of hands-on experience in data engineering with PySpark and Python.
• Strong understanding of Palantir Foundry’s architecture and development tools.
• Proficiency in SQL and relational database management.
• Experience with ingesting data via Magritte and optimizing large-scale pipelines.
• Familiarity with agile project methodologies and backlog management.
• Excellent problem-solving skills and ability to work cross-functionally.

Point to be noted, befor applying for this role –

  • Python: 10/10 (will be a coding test)
  • PySpark: 8/10
  • SQL: 10/10
  • Palantir Foundry: 8/10

If interested, please share resume to Bishnuu@acestackllc.com; Anamikav@acestackllc.com


AceStack logo

About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

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