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Data Engineer C2C Remote Jobs in Spring, TX (NOW HIRING)

Remote Work Emp Type: Contract (C2C/W2) Interview: Phone/Skype UCM engineers who have experience managing and troubleshooting Ribbon SBCs. ( experience with Oracle and Ribbon SBCs is a plus ) but ...

Remote Work Emp Type: Contract (C2C/W2) Interview: Phone/Skype § UCM engineers who have experience managing and troubleshooting Ribbon SBCs. ( experience with Oracle and Ribbon SBCs is a plus ) but ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Work closely with engineering teams, project managers, and other departments to understand their ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

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

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

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Showing results 1-20

Data Engineer C2C Remote information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do data engineer c2c remote jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data engineer c2c remote in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What is a data engineer c2c remote?

Data Engineer C2C Remote jobs refer to contract positions for data engineers that are fulfilled remotely and use a 'Corp-to-Corp' (C2C) arrangement. In C2C, a contractor works through their own corporation or as part of a consulting company rather than as a direct employee or individual contractor (W2 or 1099). Data engineers in these roles are responsible for designing, building, and maintaining data pipelines and infrastructure, usually for clients across different locations. These remote roles offer flexibility in work location and are common in the tech industry, especially for specialized projects.

What skills and qualifications are needed to thrive as a data engineer in a remote C2C setting?

To thrive as a Data Engineer C2C Remote, you need expertise in data modeling, ETL processes, and proficiency in programming languages like Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), big data tools (like Hadoop or Spark), and relevant certifications (such as AWS Certified Data Analytics) is highly valued. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote environment. These skills and qualities are crucial for building scalable data solutions, ensuring data integrity, and delivering results in a distributed team setting.

What are common challenges data engineers face when working in a fully remote C2C arrangement?

Data Engineers working remotely on a C2C basis often encounter challenges such as aligning with distributed teams across different time zones, ensuring secure data access, and managing communication with multiple stakeholders. Since C2C roles are typically contract-based, there can be less direct oversight and more emphasis on delivering results independently, which requires strong self-management and proactive reporting. Additionally, integrating with existing data infrastructure remotely may involve navigating different security protocols and adapting to each client’s unique tech stack.

What are popular job titles related to Data Engineer C2C Remote jobs in Spring, TX?

For Data Engineer C2C Remote jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineer C2C Remote jobs in Spring, TX look for?

The top searched job categories for Data Engineer C2C Remote jobs in Spring, TX are:

What cities near Spring, TX are hiring for Data Engineer C2C Remote jobs?

Cities near Spring, TX with the most Data Engineer C2C Remote job openings:

Infographic showing various Data Engineer C2C Remote job openings in Spring, TX as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,433 per year, or $55.5 per hour.

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

Acestack

Houston, TX • Remote

$117K - $140K/yr

Contractor

Re-posted 8 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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