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Data Engineer Remote Contract Jobs in Texas (NOW HIRING)

$109K - $132K/yr

Remote position. Candidates must be based in Mexico, preferably in Monterrey, Nuevo Leon *** Job Summary: The Data Engineer supports the design, build, and maintenance of the data infrastructure that ...

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

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote ... data engineering with strong Python, SQL, and Spark skills * Hands-on experience building and ...

Senior Data Engineer

Dallas, TX · Remote

$105K - $143K/yr

Job Title-Senior Data Engineer Location ... Remote Duration: 6 Months Contract to Hire (Quarterly Onsite for a few days in Dallas TX) About ...

Remote Sr. Data Engineer

Austin, TX · Remote

$105K - $142K/yr

Remote Sr. Data Engineer Senior Data Engineer Position Overview We are seeking a highly skilled Senior Data Engineer to join our team. The ideal candidate will be responsible for designing, building ...

Data Engineer (MedInsight)

Dallas, TX · On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Data Engineer (MedInsight)

Houston, TX · On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Data Engineer

Roanoke, TX · On-site +1

$75 - $80/hr

Data Engineer Westlake, TX Type ... Contract Category: Data Industry: Financial Services Reference ID: JN -052026-106717 Date Posted ...

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Showing results 1-20

Data Engineer Remote Contract information

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 Texas? The most popular types of Data Engineer Remote jobs in Texas are:
What are popular job titles related to Data Engineer Remote Contract jobs in Texas? For Data Engineer Remote Contract jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Engineer Remote Contract jobs in Texas look for? The top searched job categories for Data Engineer Remote Contract jobs in Texas are:
What cities in Texas are hiring for Data Engineer Remote Contract jobs? Cities in Texas with the most Data Engineer Remote Contract job openings:
Infographic showing various Data Engineer Remote Contract job openings in Texas as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

$109K - $132K/yr

Full-time

Posted 20 days ago


Job description

Who We Are:

RailPros is the premier provider of engineering and diversified safety services to America's rail and transit industry. Driven by a passion for our people, clients, and communities, we are committed to solving our customers' challenges and earning their trust through teamwork, continuous improvement, and service excellence. As a people first organization, we prioritize the safety, well being, and growth of our employees, fostering a culture of caring and support. We believe that when our people thrive, our company thrives.

Our mission is to enhance mobility, safety, and quality of life for residents, passengers, and partner companies. We do more than just provide services; we are constantly innovating and staying informed of industry developments to help our customers succeed. Join us in our shared goal of keeping America moving and ensuring customer satisfaction in an environment where your contributions are valued and your growth is encouraged. Apply now and become a part of our exciting journey!

*** Remote position. Candidates must be based in Mexico, preferably in Monterrey, Nuevo Leon ***

Job Summary:

The Data Engineer supports the design, build, and maintenance of the data infrastructure that supports the organization’s analytics and reporting ecosystem. This role focuses on building and maintaining scalable data pipelines, managing complex integration processes, and ensuring that data remains available, accurate, and high quality across the enterprise. The role plays a key part in M&A data integration assisting with data mapping and transformation. By applying solid technical expertise and a problem solving mindset, the Data Engineer contributes to reliable, high performance analytics and empowers the business with trusted data.

Essential Duties & Responsibilities:

Data Pipeline Development & Maintenance

  • Build, maintain, and optimize ETL/ELT pipelines to support data ingestion, transformation, and delivery from multiple sources
  • Automate data workflows to ensure efficiency, scalability, and reliability
  • Monitor and troubleshoot data pipeline issues, ensuring system resilience and minimal downtime
  • Develop repeatable integration patterns and frameworks to accelerate post acquisition data onboarding
  • Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process
  • Perform any necessary data mapping, data lineage activities and document information flows

Data Architecture & Warehousing

  • Collaborate with analytics teams to implement and maintain scalable data warehouse solutions (e.g., star and snowflake schemas)
  • Support implementation of modern data architectures, including medallion/lakehouse frameworks
  • Partner with Finance, Ops, IT, and HR teams to integrate new data sources into the warehouse
  • Assess and rationalize data models from acquired entities, mapping, and harmonizing schemas to enterprise standards

Data Quality & Governance

  • Ensure data accuracy, consistency, and security across systems
  • Implement monitoring and validation processes to detect and resolve data quality issues
  • Support data governance initiatives, including metadata documentation and compliance with organizational standards
  • Support data quality controls and reconciliation processes for merged datasets during M&A integrations

Data Visualization

  • Support the creation and maintenance of dashboards and reports through collaboration with data analysts and decision makers to ensure pipelines are optimized, validated, and performant

Collaboration & Support

  • Work closely with Data Analysts and BI teams to optimize data models for reporting and analytics
  • Provide technical expertise on SQL, Python, and data modeling best practices
  • Partner with business stakeholders to understand data requirements and deliver solutions that support decision making
  • Support cross functional teams during M&A activities to support data discovery, gap analysis, and integration planning
  • Continuously enhance your domain knowledge of connected vehicle data, connected services and algorithms/models developed by data scientists within Ford
  • Stay current on the latest data engineering practices and contribute to the technical direction of the company while keeping a customer centric approach

Professional Standards & Expectations

  • Contribute to a positive, inclusive, and respectful workplace culture, free from behaviors that undermine morale, productivity, or organizational values
  • Uphold the organization’s standards of integrity, accountability, and respect in all duties and interactions
  • Adhere to all company policies, procedures, and applicable laws and regulation
  • Other duties as assigned or required to meet the business needs

Required Education and Experience:

  • Bachelor’s degree in computer science, information systems, data engineering, or related field
  • 2 to 5 years of experience in a data engineering or related role
  • Advanced English level.
  • Experience working with financial data including GL transactions, P&L, and balance sheet data from one or more ERP or accounting platforms (e.g., NetSuite, Deltek Ajera, QuickBooks, or similar)
  • Knowledge of core financial data concepts: chart of accounts, cost centers, project based accounting, period end close cycles, and financial statement structures
  • Hands on experience integrating data from multiple source systems, including legacy or acquired platforms
  • Expert in SQL and data modeling (star/snowflake)
  • Hands on experience with ETL/ELT tools and modern data integration techniques
  • Proficiency in Python for data processing and automation
  • Experience with cloud data migrations to/from Azure, AWS, etc
  • Exposure to CI/CD pipelines
  • Experience with relational databases and cloud based data platforms
  • Experience with data visualization tools, e.g., PowerBI, Tableau, Qlik, etc

Why RailPros? Build Your Career Where Culture Leads The Way

  • A People First Culture (Caring): At RailPros, you’re more than an employee; you’re part of a team driven by genuine care and respect. Our Align29 pillar of Caring reflects our deep commitment to supporting your growth, well being, and success every step of the way.
  • A Workplace Where Your Voice Matters (Sharing): Our Sharing culture encourages transparency, active dialogue, and collaboration across every level of the company.
  • A Company Invested in Your Growth (Progress): Through continuous improvement of our systems, processes, and operations, our Progress pillar ensures you have the tools and support to excel.
  • An Innovative, Industry Leading Environment (Innovation): Our Innovation pillar fuels creative problem solving, modern technology adoption, and breakthrough thinking that positions RailPros as a leader in the rail and transit space.

Benefits & Perks:

  • Benefits in accordance with labor law.

Choose a career where your work truly matters. At RailPros, you’ll be part of a stable, growing industry and a team driven by strong core values. We collaborate, innovate, and stay ahead of industry changes to deliver exceptional service to our clients. Our culture is built on trust, continuous improvement, and practical problem solving.

If you’re passionate about making an impact and want to grow with a dedicated, supportive team, join us and contribute to our success.

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