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Data Engineer Contract Jobs in Forney, TX (NOW HIRING)

"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 ...

Data Engineer

Dallas, TX · On-site

$55 - $60/hr

Analytics Engineer/Data Engineer Dallas, TX Hybrid: 3 days a week, 2 Days Remote $55-$60/hour - Depending on Experience 3 Month Contract to Hire - W-2 with Brooksource **U.S. Citizens and all other ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Job Location: Dallas, TX Job Type ... Contract * This list is intended to reflect the current job but there may be additional essential ...

Jr. Data Engineer

Plano, TX · On-site

$109K - $131K/yr

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C ... S3 never asks for money during its onboarding process." Job Title: Jr. Data Engineer Location:

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Contract Experience Required: 8-10 Years Job Summary We are seeking an experienced Data Engineer with strong Insurance domain experience to join our team in Plano, TX. The ideal candidate will have ...

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness. * Instrument data pipelines for monitoring, alerting ...

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

Richardson, TX Duration: Long term contract Interview: F2F (Face to Face)/Onsite Job Summary: We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to design, build, and optimize ...

MDM Data Engineer

Grand Prairie, TX · On-site

$109K - $131K/yr

Master Data Management (MDM) Data Engineer 100% Remote - EST Hours 6 month CDW Contract CDW is looking for an experienced Master Data Management (MDM) Data Engineer to design and build scalable ...

Data Engineer

Dallas, TX · On-site

$60 - $70/hr

We are looking for a Data Engineer to join a mission-driven team, where you will design and support ... This contract position offers the opportunity to build dependable, scalable data workflows that ...

New

Snowflake Data Engineer ReactJS

Dallas, TX · On-site

$113K - $136K/yr

Any Infosys Hub office (Hybrid) Contract duration: Long term contract Skillset : * Mandaotory UI / ... Data Engineering Fundamentals: Solid understanding of data engineering principles, data modeling ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Who we are Iapetus Infrastructure oversees a portfolio of specialized field services ... This document is not a contract of employment, and the Company reserves the right to change this ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Engineer Who we are Iapetus Infrastructure oversees a portfolio of specialized field services ... This document is not a contract of employment, and the Company reserves the right to change this ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Who we are Iapetus Infrastructure oversees a portfolio of specialized field services ... This document is not a contract of employment, and the Company reserves the right to change this ...

Dallas, TX (Onsite/Hybrid as per client requirement) Duration: Long-Term Contract Required Skills : 8+ years of Data Modeling / Data Engineering experience Strong expertise in: Data Modeling (Logical ...

Data Engineer / Dallas,TX

Dallas, TX · On-site

$113K - $136K/yr

Dallas,TX Duration : Long term contract Required Qualifications * 5+ years in data engineering, analytics, business intelligence, or data architecture roles. * Strong experience in Microsoft Azure ...

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Showing results 1-20

Data Engineer Contract information

See Forney, TX salary details

$40.1K

$116.9K

$159.9K

How much do data engineer contract jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineer contract in Forney, TX is $116,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $123,900.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What are the most commonly searched types of Data Engineer jobs in Forney, TX?

The most popular types of Data Engineer jobs in Forney, TX are:

What are popular job titles related to Data Engineer Contract jobs in Forney, TX?

For Data Engineer Contract jobs in Forney, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineer Contract jobs in Forney, TX look for?

The top searched job categories for Data Engineer Contract jobs in Forney, TX are:

What cities near Forney, TX are hiring for Data Engineer Contract jobs?

Cities near Forney, TX with the most Data Engineer Contract job openings:

Infographic showing various Data Engineer Contract job openings in Forney, TX as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $116,856 per year, or $56.2 per hour.

$40 - $50/hr

Contractor

PTO

Posted 3 days ago

New


Job description

Data Engineer

Contract | $40 to $50 per hour | 10 to 20 hrs/week | 90 days with potential to extend


ROLE SUMMARY

There are 3.7 million construction companies in America. Most cannot figure out how to hire. The Contractor Consultants solved it and built a fully remote B2B recruitment platform serving construction and trade businesses across the U.S. and Canada.


Zero to over $12M in annualized revenue in three years. 80+ people. On track to support 1,500+ clients in 2026, with a goal of empowering 3,000 construction companies by 2030.


That growth created a data problem. HubSpot holds the client and revenue picture. Loxo holds the recruiting pipeline. Airtable holds scoring and ticket queues. Ramp holds spend. Make.com moves data between them. Every system is right about its own slice and none can answer a question that crosses two. Today, "what does utilization look like by pod, by month, against revenue" takes a person and a week.


We are fixing that with Supabase as the central warehouse. We need an engineer to build it.

Three things have to be true about your background:

  • You have built production ETL or ELT pipelines against real business systems. Commercial APIs, rate limits, schema drift, and jobs that keep running when a vendor changes a field without telling you.
  • You have owned a warehouse, not just queried one. Supabase, PostgreSQL, BigQuery, Snowflake, or AWS. You know why a schema decision made in week two costs you in month six.
  • You can hand your work to a business user. Enough BI fluency in Metabase, Tableau, or Power BI to model data so it is usable downstream, and you document without being chased.


WHAT SUCCESS LOOKS LIKE

Success Outcome #1: Stand Up our Database as the Single Source of Analytical Truth

  • Design and build the Supabase schema: staging, core, and reporting layers, with documented relationships
  • Model entities that live across multiple systems (client, funnel, role, candidate, transaction) into one consistent definition
  • Build data quality checks that catch duplicates, orphaned records, and failed loads before a human finds them in a report
  • Keep the architecture tool independent. If TCC swaps an ATS in two years, the warehouse survives it

Success Outcome #2: Connect the Stack and Keep the Pipes Clean

  • Build and maintain pipelines from HubSpot, Loxo, Airtable, Ramp, and additional sources as scoped
  • Handle incremental loads, backfills, and historical snapshots so we get time series, not just current state
  • Build monitoring and alerting so a broken sync surfaces immediately with a clear failure reason
  • Consolidate with existing Make.com middleware rather than layering another system on top

Success Outcome #3: Build the Calculation Layer That Turns Records Into Metrics

Raw rows do not run a company. You mathematicize them into the numbers leadership decides on.

  • Build the metric layer: pod and recruiter utilization, funnel throughput, time to hire, client health inputs, revenue per funnel
  • Define each metric once, in one place, so two dashboards cannot disagree about the same number
  • Model and expose data for Metabase, Tableau, or Power BI, and build the first views leadership needs
  • Leave a documented handoff so the next person can add a metric without calling you


ENGAGEMENT TERMS

Rate:  $40 to $50 per hour, based on experience and depth of warehouse ownership

Hours: 10 to 20 per week, flexible, with reasonable overlap into U.S. business hours

Term: 90 day initial contract. There is real potential to extend the engagement based on delivery and roadmap.

Classification: 1099 independent contractor. No employee benefits, PTO, or company-sponsored insurance.

Equipment: Bring your own device (BYD) and hardware. We will provide systems access to relevant software systems.


WHAT GIVES YOU THE EDGE (PREFERRED)

  • 4 to 8 years of data engineering experience
  • Prior API integration work with a CRM (ideally HubSpot), a modern ATS (ideally Loxo), and low code tools (ideally Airtable and Make.com)
  • Fluency in at least one project management platform: Linear, Jira, ClickUp, Notion, Asana, or Monday.com
  • Experience with DBT or a comparable transformation framework
  • Proficient in Python or TypeScript for pipeline work
  • Bonus: experience in a services, staffing, or recruiting business where utilization and throughput are the core metrics


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Legally, we need you to know this: The Contractor Consultants is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, military service, or any other status protected by law. All hiring decisions are based on qualifications, merit, and business needs.