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

Senior Big Data Engineer

Austin, TX ยท On-site

$55.25 - $73/hr

Omega Solutions, Inc. is seeking a Senior Big Data Engineer for a contract role with PayPal in Austin, TX. The role involves developing and maintaining data pipeline architectures, collaborating with ...

Senior Data Engineer, AI & Agents

Austin, TX ยท On-site

$105K - $142K/yr

Generate and curate catalogue metadata that feeds downstream automation and data-contract workflows ... Strong data engineering background with genuine, handsโ€‘on fluency across both Databricks and ...

BI Developer

Austin, TX ยท Hybrid

$43.66/hr

BI Developer (Contract) * Location: Austin TX 78758 (Hybrid) * Duration: 11/15/2025 to 7/14/2026 ... Data Analyst Associate, Azure Data Engineer) are a plus. * Proficiency in SQL and Azure KQL, with ...

Senior Data Analyst

Austin, TX ยท On-site

$85K - $107K/yr

Deerfield Beach FL (Hybrid - 3 Days a week onsite) Contract: 6+ Months Contract NOTE : Must take ... KEY SKILLS : โ€ข Manager Took over data and BI engineering โ€ข Data analysts and data governance ...

Senior Data Analyst

Austin, TX ยท Hybrid

$85K - $107K/yr

Deerfield Beach FL (Hybrid \- 3 Days a week onsite) \n \n \n Contract: 6+ Months Contract \n \n \n ... This position partners closely with business stakeholders, technology teams, and data engineers to ...

... and contract negotiations with landlords, property owners, and utility companies, and engineering ... data center design, construction, network engineering, legal, policy, communications, and finance ...

Advanced technical degree, a law degree, or an MBA * Background in engineering, contract management ... data center leases * Experience adhering to and implementing responsible, ethical AI practices (e.g ...

Showing results 21-40

Data Engineer Contract information

See Georgetown, TX salary details

$41.3K

$120.5K

$164.9K

How much do data engineer contract jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data engineer contract in Georgetown, TX is $120,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $127,800.00 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 Georgetown, TX?

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

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

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

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

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

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

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

Infographic showing various Data Engineer Contract job openings in Georgetown, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 16% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $120,522 per year, or $57.9 per hour.

Data Engineer/ Systems Analyst- Databricks

Austin, TX โ€ข On-site

PROLIM Global Corporation
IT Servicesย โ€ขย 201 - 500 employees

$113K - $136K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Prolim is hiring for Data Engineer for a leading client
Contract: Long term
Location: Austin, TX

I. DESCRIPTION OF SERVICES
8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.
Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.
The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. Build and maintain ingestion pipelines, Declarative Pipelines (DLT), and Medallion Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. Develop robust data models and implement data quality, validation, and governance frameworks. Create dynamic dashboards, Databricks Apps, and analytical solutions to deliver actionable business insights. Optimize workloads, monitoring, and operational processes to ensure scalability, security, and cost efficiency.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
8
Required
Experience in IT, supporting the design, development, deployment, or delivery of technology solutions.
8
Required
Experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.
8
Required
Experience in data warehousing and dimensional data modeling (star/snowflake schemas).
8
Required
Proficiency in SQL and Python (or Scala) for large-scale data processing.
8
Required
Experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).
8
Required
Experience implementing data governance, data quality, and data security practices.
8
Required
Experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.
8
Required
Experience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow).
8
Required
Excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.
1
Preferred
Experience working in public sector or state government environments.
1
Preferred
Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).
1
Preferred
Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows).