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Weekend Data Engineer Contract Jobs in Katy, TX (NOW HIRING)

iSphere

ETL Data Engineer - ETRM/SSRS-Houston, TX

Houston, TX · On-site

$109K - $131K/yr

ETL Data Engineer - ETRM / SSRS Houston, TX | Hybrid | Must Live in the Houston Area | 12+ Month Contract iSphere is looking for an ETL Data Engineer who knows their way around SQL Server, SSIS, ...

Georgia IT

Software Engineer

Houston, TX · On-site

DOE The contract Software Engineer is a critical member of a cross-functional product team ... Skills: .NET, Android, Application Performance, Cassandra, COBOL, Data Analyst, Data Engineer, Dev ...

Georgia IT

Commodity Software Engineer

Houston, TX · On-site

Houston, TX (On-site locals only) The contract Software Engineer is a critical member of a cross ... Skills: .NET, Android, Application Performance, Cassandra, COBOL, Data Analyst, Data Engineer, Dev ...

XFORIA Inc

Snowflake Architect

Houston, TX · On-site

The Data Engineer will help create trusted, reusable data assets that support applications ... Experience with data observability, lineage tracking, data contracts, and data quality frameworks.

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Showing results 21-40

All JobsData Engineer Contract JobsWeekend Data Engineer Contract JobsWeekend Data Engineer Contract Jobs in Katy, TX

Weekend Data Engineer Contract information

See Katy, TX salary details

$40.8K

$119K

$162.9K

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

As of Sep 8, 2026, the average yearly pay for weekend data engineer contract in Katy, TX is $119,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $126,200.00 per year, depending on experience, location, and employer.

What is a Weekend Data Engineer Contract?

A Weekend Data Engineer Contract is a temporary or freelance position where a data engineer works primarily on weekends. These roles typically involve building, maintaining, or optimizing data pipelines and databases, ensuring data quality, and supporting analytics needs during weekend shifts. This setup is often used by companies that require continuous data operations or have projects with tight deadlines. Weekend contracts can provide flexibility for both the engineer and the employer, and may be ideal for those seeking additional income or balancing other commitments.

What are some common challenges faced by Weekend Data Engineer Contractors, and how can they overcome them?

Weekend Data Engineer Contractors often encounter challenges such as limited access to stakeholders, tight turnaround times, and ensuring smooth handovers with weekday teams. To address these, clear documentation, proactive communication, and strong version control practices are essential. Working autonomously but staying aligned with the broader data engineering team helps ensure continuity and quality in deliverables.

What are the key skills and qualifications needed to thrive as a Weekend Data Engineer Contractor, and why are they important?

To thrive as a Weekend Data Engineer Contractor, you need strong proficiency in data engineering principles, including ETL processes, database management, and programming languages like Python or SQL, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Strong problem-solving, effective communication, and the ability to work independently are crucial soft skills for this role. These skills and qualifications ensure high-quality, reliable data solutions are delivered efficiently during limited weekend hours, meeting project deadlines and client expectations.

What is the difference between Weekend Data Engineer Contract vs Weekend Data Analyst Contract?

AspectWeekend Data Engineer ContractWeekend Data Analyst Contract
Required CredentialsTypically requires a degree in Computer Science, Data Engineering certifications, SQL, Python, and cloud platform knowledgeUsually requires a degree in Data Science, Statistics, or related fields, with proficiency in SQL, Excel, and data visualization tools
Work EnvironmentPrimarily technical, involving building data pipelines, ETL processes, and data infrastructureFocuses on analyzing data, generating reports, and providing insights for decision-making
Employer & Industry UsageUsed in tech companies, finance, healthcare, and industries with large data needsCommon in marketing agencies, retail, finance, and any sector requiring data reporting

Weekend Data Engineer Contracts involve building and maintaining data infrastructure, requiring technical skills and certifications. In contrast, Weekend Data Analyst Contracts focus on analyzing data and creating reports. Both roles are in demand across various industries but serve different functions within data teams.

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

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

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

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

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

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

Weekend Data Engineer Contract jobs near you
Infographic showing various Weekend Data Engineer Contract job openings in Katy, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,013 per year, or $57.2 per hour.

ETL Data Engineer - ETRM/SSRS-Houston, TX

iSphere

Houston, TX • On-site

$109K - $131K/yr

Other

Posted 20 days ago

Key responsibilities

  • Build, improve, and support data flows that move information between trading, operational, reporting, and analytical platforms.

  • Design databases, tune queries, write stored procedures, troubleshoot performance problems, and develop ETL processes for large volumes of data.

  • Develop and maintain reports using SSRS and support data pipelines across multiple systems.

Job description

ETL Data Engineer - ETRM / SSRS
Houston, TX | Hybrid | Must Live in the Houston Area | 12+ Month Contract

iSphere is looking for an ETL Data Engineer who knows their way around SQL Server, SSIS, Python, and ETRM data and can step into a fast-moving energy environment without needing six months to figure out how everything connects.

This is a hands-on consulting role supporting a team that works heavily with data pipelines, data warehousing, reporting, and Energy Trading and Risk Management systems. You will be building, improving, and supporting the data flows that move information between trading, operational, reporting, and analytical platforms.

A strong Microsoft SQL Server and SSIS background is essential here. You should be comfortable designing databases, tuning queries, writing stored procedures, troubleshooting performance problems, and building ETL processes that can handle large volumes of data without becoming tomorrow morning''s emergency.

You will also work with Oracle, Python, SSRS, Power BI or Tableau, and Microsoft Power Platform tools. The environment includes market data, pricing, forecasting, time-series data, and other datasets tied to energy trading and risk, so experience in ETRM or commodity trading will make a big difference.

What we need:

  • Expert-level Microsoft SQL Server experience, including database design, query optimization, performance tuning, stored procedures, and SSIS

  • Strong experience developing and maintaining SSRS reports or comparable enterprise reporting solutions

  • Hands-on Oracle experience, including data extraction, integration, SQL development, and performance analysis

  • Strong Python development experience focused on ETL, data engineering, APIs, automation, and data transformation

  • Experience with Pandas, NumPy, and other data-processing libraries

  • Experience designing and supporting data pipelines across multiple internal and external systems

  • Strong understanding of data warehousing, dimensional modeling, data quality, governance, and metadata management

  • Experience supporting ETRM platforms and understanding energy trading, scheduling, settlements, risk, or related market processes

  • Experience working with large datasets and validating, cleansing, reconciling, and integrating data from multiple sources

  • Strong analytical, troubleshooting, documentation, and communication skills

Experience with Power BI, Tableau, Power Apps, and Power Automate will also be useful, especially if you have used them to improve reporting, automate workflows, or give the business better access to the data.

Time-series data, market data, pricing models, forecasting models, and commodity trading datasets are all big pluses.

This is a good fit for someone who likes getting into the weeds of a data problem and figuring out why the numbers do not tie before anyone starts blaming the report. You should be comfortable moving between SQL, ETL, Python, reporting, and business conversations and understand that in an energy environment, bad data can become an expensive problem pretty quickly.

If SQL Server, SSIS, Python, and ETRM data have been a major part of your world, this one should be worth a conversation.

Apply