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Weekend Data Engineer Jobs in Waco, TX (NOW HIRING)

Data Engineer I

Waco, TX · On-site

$101K - $122K/yr

The Data Engineer I works closely with senior engineers, data analysts, and business stakeholders to deliver reliable, efficient, and well-documented data pipelines using tools such as Azure Data ...

Sr. Data Engineer

Temple, TX · Hybrid

$92K - $111K/yr

We're seeking a highly skilled Senior Data Engineer who thrives on solving complex data challenges and building scalable, enterprise grade solutions. This role is ideal for a detail oriented ...

Implement data pipelines using Snowflake features like Snowpipe, Streams, and Tasks, along with ... Mentor other engineers and support collaboration within the team, setting and promoting data ...

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the ...

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the ...

Join our dynamic Data Center Engineering Operations Team and become a critical architect of the infrastructure that powers global cloud computing. You'll play a pivotal role in maintaining the ...

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

dbt Engineer

Meridian, TX

$118K - $177K/yr

We're seeking out a dbt Engineer as an expert in data transformation and analytics engineering, responsible for leading the design, implementation, and optimization of our data pipelines using dbt ...

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

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Showing results 1-20

Weekend Data Engineer information

See Waco, TX salary details

$39.5K

$115.2K

$157.6K

How much do weekend data engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for weekend data engineer in Waco, TX is $115,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $122,100.00 per year, depending on experience, location, and employer.

What are Weekend Data Engineers?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the typical expectations and work patterns for a Weekend Data Engineer position?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

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

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.
What are the most commonly searched types of Data Engineer jobs in Waco, TX? The most popular types of Data Engineer jobs in Waco, TX are:
What cities near Waco, TX are hiring for Weekend Data Engineer jobs? Cities near Waco, TX with the most Weekend Data Engineer job openings:
Infographic showing various Weekend Data Engineer job openings in Waco, TX as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,156 per year, or $55.4 per hour.

$101K - $122K/yr

Full-time

Re-posted 19 days ago


Texas Farm Bureau Insurance rating

7.8

Company rating: 7.8 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

185th of 299 rated insurance


Job description

The Voice of Texas Agriculture.
Company: Texas Farm Bureau Casualty Insurance Company | Department: Project Management Office (Data Office)
The Data Engineer I position builds, monitors, and supports data pipelines that move and transform data across on-premise and cloud-based systems.
This role is ideal for a self-starter eager to learn the foundations of data engineering and contribute to data workflows that power analytics, reporting, and business operations.
The Data Engineer I works closely with senior engineers, data analysts, and business stakeholders to deliver reliable, efficient, and well-documented data pipelines using tools such as Azure Data Factory and Databricks.
MAJOR RESPONSIBILITIES AND AUTHORITY
Assist in the development and maintenance of data pipelines that extract, transform, and load (ETL/ELT) data from diverse sources into reporting and analytical environments.
Support scheduled and event-driven pipeline operations using tools such as Azure Data Factory and/or Databricks.
Participate in the testing, validation, and documentation of pipeline logic and data flows.
Monitor data jobs and assist with troubleshooting failed runs or unexpected results.
Work with data analysts and developers to understand requirements and build repeatable, scalable data ingestion processes.
Help identify opportunities for optimization and automation of routine data movement tasks.
Maintain documentation of data workflows, job logic, and transformation rules for continuity and support.
Learn and apply best practices for secure, reliable, and well-governed data delivery.
Other duties as assigned.
MINIMUM POSITION QUALIFICATIONS
Education and Experience:
At least one of the following:
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, and minimal experience in data quality analysis or a similar role.
  • Associate degree in Computer Science, Information Systems, Data Engineering, or a related field, and foundational experience in data quality analysis or a similar role.

Technical Skills:
Good experience with T-SQL for query development.
Familiarity with database platforms such as Microsoft SQL Server, PostgreSQL, Synapse, or Databricks.
Understanding of relational data modeling concepts and data warehouse standards.
Experience building views, stored procedures, and functions.
Comfortable working with large datasets and optimizing query performance.
Experience with Git, version control and basic scripting (Python preferred).
Soft Skills:
Strong problem-solving and analytical skills.
Attention to detail and commitment to data accuracy.
Ability to communicate clearly with both technical and non-technical team members.
Comfortable working collaboratively and documenting work for others.
Preferred Qualifications:
Internship or project experience in data engineering, analytics, or cloud development.
Exposure to data quality or data governance principles.
Knowledge of Microsoft Synapse, Azure SQL Database, or Data Lake is a plus.
PHYSICAL REQUIREMENTS
Use of office equipment over six (6) hours per day.
Extended periods of sitting and concentration.
Occasional bending, twisting, crouching, pulling, pushing, lifting, and moving items weighing up to 30 lbs.
WORKING CONDITIONS
Occasional long, irregular hours.
Provide after-hours problem resolution when required.
Occasional travel by auto or other public transportation.
Work to be conducted in office environment owned or leased by company.
Texas Farm Bureau is an Equal Opportunity Employer (M/F/D/V).

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