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

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Data Engineer (Fabric) is a junior contributor in Enterprise Applications, Data, and AI ... evenings or weekends with prior notice. • Demonstrate proficiency translating business ...

New

Data Engineer

Austin, TX

$113K - $136K/yr

AVA Consulting is seeking a Data Engineer Location: Austin, TX (Hybrid) U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. * We are ...

Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Data Engineer Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models ...

Data Engineer

Austin, TX

$113K - $136K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between ...

Data Engineer

Austin, TX

$113K - $136K/yr

Data Engineer Wealth Management Platform Employment Type: Full-Time About the Role We are seeking a skilled Data Engineer with a strong wealth management background to join our data and technology ...

Data Engineer

Cedar Park, TX · Hybrid

$108K - $153K/yr

Data Engineer CAYUSE COMPANY: Cayuse Civil Services, LLC LOCATION Hybrid in Austin, TX SALARY: $108,160.00-$153,920.00 EMPLOYEE TYPE: Full-Time Salary Exempt TRAVEL No RELOCATION No Employment in ...

Data Engineer

Austin, TX · Hybrid

$108K - $153K/yr

Data Engineer CAYUSE COMPANY: Cayuse Civil Services, LLC LOCATION Hybrid in Austin, TX SALARY: $108,160.00-$153,920.00 EMPLOYEE TYPE: Full-Time Salary Exempt TRAVEL No RELOCATION No Employment in ...

Data Engineer

Cedar Park, TX · Hybrid

$108K - $153K/yr

Data Engineer CAYUSE COMPANY: Cayuse Civil Services, LLC LOCATION Hybrid in Austin, TX SALARY: $108,160.00-$153,920.00 EMPLOYEE TYPE: Full-Time Salary Exempt TRAVEL No RELOCATION No Employment in ...

Data Engineer

Cedar Park, TX · Hybrid

$108K - $153K/yr

Data Engineer CAYUSE COMPANY: Cayuse Civil Services, LLC LOCATION Hybrid in Austin, TX SALARY: $108,160.00-$153,920.00 EMPLOYEE TYPE: Full-Time Salary Exempt TRAVEL No RELOCATION No Employment in ...

Data Engineer

Austin, TX · Hybrid

$108K - $153K/yr

Data Engineer CAYUSE COMPANY: Cayuse Civil Services, LLC LOCATION Hybrid in Austin, TX SALARY: $108,160.00-$153,920.00 EMPLOYEE TYPE: Full-Time Salary Exempt TRAVEL No RELOCATION No Employment in ...

Data Engineer

Cedar Park, TX · Hybrid

$108K - $153K/yr

Data Engineer CAYUSE COMPANY: Cayuse Civil Services, LLC LOCATION Hybrid in Austin, TX SALARY: $108,160.00-$153,920.00 EMPLOYEE TYPE: Full-Time Salary Exempt TRAVEL No RELOCATION No Employment in ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data integration function. You will be primarily responsible for migrating new clients' legacy data from their ...

Data Engineer

Cedar Park, TX · On-site +1

$108K - $153K/yr

Data Engineer CAYUSE COMPANY: Cayuse Civil Services, LLC LOCATION Hybrid in Austin, TX SALARY: $108,160.00-$153,920.00 EMPLOYEE TYPE: Full-Time Salary Exempt TRAVEL No RELOCATION No Employment in ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data integration function. You will be primarily responsible for migrating new clients' legacy data from their ...

Data Engineer

Cedar Park, TX · On-site +1

$108K - $153K/yr

Data Engineer CAYUSE COMPANY: Cayuse Civil Services, LLC LOCATION Hybrid in Austin, TX SALARY: $108,160.00-$153,920.00 EMPLOYEE TYPE: Full-Time Salary Exempt TRAVEL No RELOCATION No Employment in ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced startup life. The ideal candidate doesn't just build pipelines - they think critically about how data ...

Data Engineer

Austin, TX

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced startup life. The ideal candidate doesn't just build pipelines - they think critically about how data ...

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Showing results 1-20

Weekend Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do weekend data engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for weekend data engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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 Austin, TX? The most popular types of Data Engineer jobs in Austin, TX are:
What job categories do people searching Weekend Data Engineer jobs in Austin, TX look for? The top searched job categories for Weekend Data Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Weekend Data Engineer jobs? Cities near Austin, TX with the most Weekend Data Engineer job openings:
Infographic showing various Weekend Data Engineer job openings in Austin, TX as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 62% Full Time, 32% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.
Data Engineer

Data Engineer

K&L Gates

Austin, TX • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Job Description
At K&L Gates, we are looking for smart, imaginative and hard-working people with diverse backgrounds, experiences and ideas to join us. Perhaps our search for talented visionaries and your search for important and impactful work lead to the same place.
We are seeking a Data Engineer to join K&L Gates. The Data Engineer (Fabric) is a junior contributor in Enterprise Applications, Data, and AI Platforms, building the Microsoft Fabric data platform. They develop pipelines, Lakehouses, and semantic models powering analytics, reporting, and AI solutions across Finance, HR, Client Growth, and Legal Operations. Using Fabric Data Factory, Notebooks, Lakehouse, and Data Warehouse, they create scalable, reliable, and business-aligned data products. This includes pipelines supporting Azure AI Foundry and retrieval-augmented generation solutions. In an Agile DevOps environment, they translate complex business needs into governed, reliable data products. Reports to the Senior Manager, Data Engineering. Candidates must be self-starters who possess the ability to work independently and as part of a team. Excellent communication skills and a commitment to providing the highest quality client service are strongly preferred.
KEY RELATIONSHIPS
Director, Enterprise Applications, Data, and AI Platforms; Senior Manager, Data Engineering; Senior Manager, Automation and Development; Senior Manager, Enterprise Applications; Senior Applications Architect; Senior Data Architect; Team Lead, Workflow and Automation; Cloud Platform Engineer; Project Manager; Business Data Experts and Business Data Sponsors
ESSENTIAL DUTIES
• Designing, developing, and maintaining data pipelines and advanced transformations using Microsoft Fabric tools for ingestion, orchestration, automation, and performance optimization.
• Designing and implementing Microsoft Fabric Lakehouse and Data Warehouse solutions on OneLake, choosing suitable technology for performance, structure, and business needs. Ensuring unified storage governance and enabling cross-domain data sharing.
• Applying modern data modeling practices, including dimensional and Medallion approaches, and build optimized Power BI datasets using DAX and Power Query.
• Implementing data quality, validation, monitoring, and error-handling processes to ensure reliability and trust in data products.
• Deploying and managing data solutions through CI/CD pipelines in Azure DevOps or GitHub Actions while creating and maintaining technical documentation and templates.
• Participating in Agile ceremonies and track work using Azure DevOps boards, including sprint planning, backlog refinement, and work item management.
• Designing and maintaining data pipelines supporting Azure AI Foundry workloads, including grounding datasets, vector indexing preparation, and feature data for retrieval-augmented generation.
• Translating business requirements into technical specifications and scalable data solutions, working with Business Data Experts and Sponsors to validate understanding.
• Serving as a model for the Enterprise Applications team philosophy, advocating enterprise processes, procedures, security, standards, and knowledge-first support.
• Participating in testing activities for assigned solutions, including unit testing, integration testing, and supporting UAT to confirm data accuracy and functional needs.
• Utilizing AI tools like Microsoft Copilot and Claude while following governance standards, ensuring responsible usage, data classification, and compliant model implementation.
• Contributing to the design, development, or upkeep of AI-enabled solutions on the Microsoft platform stack, following the governed portfolio model.
ADDITIONAL DUTIES
EXPERIENCE SKILLS REQUIRED
• Hold Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field; equivalent professional experience is acceptable. Obtain relevant Microsoft certifications, such as DP-600, DP-203, or AI-900.
• Understand data architecture, schema design, Medallion Architecture, performance tuning, and Data Mesh concepts, including domain ownership and federated governance principles.
• Demonstrate knowledge of Microsoft Purview for data governance, metadata management, unified catalog, and sensitivity labeling within the Microsoft Fabric ecosystem.
• Maintain a secure, professional workspace and be willing to travel up to 10% for offices, vendors, conferences, or seminars.
• Participate in scheduled release windows and production support events, occurring 2-4 times quarterly, including evenings or weekends with prior notice.
• Demonstrate proficiency translating business requirements into technical specifications and visually communicating solutions using diagrams, whiteboarding, and collaborative design tools.
• Demonstrate effective collaboration and communication abilities across offices and time zones, engaging diverse personalities with professionalism.
• 2+ years' hands-on experience delivering Microsoft Fabric solutions, including Data Factory, Dataflow Gen2, Notebooks, Lakehouse, and Data Warehouse.
• Demonstrate SQL and Python skills for transformation and automation, including Spark, and experience designing CI/CD pipelines with Azure DevOps or GitHub Actions.
• Possess practical experience with Power BI, including DAX and Power Query (M language), with the ability to build and optimize semantic models.
• Possess experience utilizing AI-powered tools and preparing data pipelines for Azure AI Foundry model grounding and retrieval-augmented generation (RAG) solutions.
• Possess experience with real-time analytics and event-driven architecture using Microsoft Fabric Real-Time Intelligence (Eventstream, KQL databases).
Compensation Salary $112,000 - $209,000/ year
The compensation salary for this position will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market factors.
In accordance with the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act, qualified applicants for our Los Angeles and San Francisco offices with arrest and conviction records will be considered.
ABOUT THE FIRM
K&L Gates is a fully integrated global law firm with lawyers located across five continents in more than 40 offices. We have experienced dramatic growth in the past decade and now rank among the largest U.S. based law firms in the world. We take pride in constantly striving for innovation, imagination and an entrepreneurial spirit. We come up with big ideas and then roll up our sleeves to get the job done, guiding our clients through their most complex issues in a variety of industry sectors and across multiple regions of the world.
The industry recognition the firm has garnered emanates from the foundation of a global community aligned on behalf of our clients. The people at K&L Gates are committed to working together to create a legacy for each other, the firm, our clients, and the communities in which we serve. We thrive in an inclusive and socially conscious environment that embraces diversity and takes a holistic approach to the career evolution of all our professionals.
For more information or to view other job opportunities, please click here to go back to our careers page.
Notice: We participate in E-Verify in certain Firm locations for purposes of verifying employment eligibility.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
BENEFITS
K&L Gates offers our personnel a comprehensive suite of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time personnel include:
  • Medical/Prescription Drug Coverage (including a Health Savings Account feature)
  • Back-up Child/Elder Care and access to a caregiving concierge
  • Dental Insurance
  • Wellness Program
  • Vision Insurance
  • Pre-tax Commuting Benefits
  • 401(k) Retirement Plan and Profit Sharing
  • Business Travel Accident Insurance
  • Short- and Long-term Disability Protection
  • Pet Insurance
  • Life Insurance (including Basic, Supplemental, Spouse, Child, and Accidental Death and Dismemberment)
  • Health Advocacy Services
  • Paid Time Off (25-30 days per year)
  • Identity Protection/Restoration and Fraud Insurance
  • Parental Leave (18 weeks of which 6 are paid; short-term disability may provide additional paid time off)
  • Student loan refinancing options and access to a student loan concierge service
  • Paid Holidays (12)
  • Addiction Resources
  • Family Building Benefits
  • Breast Milk Delivery and Lactation Support Services
  • Flexible Spending Accounts
  • Employees also may be eligible to receive bonuses and certain expense reimbursements
  • Employee Assistance Program
  • Professional Development and CLE Credit Opportunities
  • 529 Deductions
  • Relocation
  • Accident Insurance
  • Employee Referral Program
  • Critical Illness Insurance
  • Hybrid/Remote Work Opportunities
  • Hospital Indemnity Insurance
  • Perks including: Technology, Entertainment, and Travel Discount Programs
  • Bereavement Leave
  • All other benefits (such as leaves of absence) required by law

EQUAL EMPLOYMENT OPPORTUNITY
The Firm is an equal opportunity employer. It is the policy of the Firm that employment decisions shall be based on merit, qualifications and competence. Employment practices will not be influenced or affected by virtue of a person's race (including traits associated with race, including hair texture and protective hairstyles such as afros, braids, locks, and twists), religion, creed, color, national origin, ancestry, citizenship, physical disability, mental disability, medical condition, genetic information, marital status, sex, pregnancy, childbirth, breastfeeding, gender, parental status, gender identity, gender expression, sexual orientation, age, familial status, domestic violence victim status, military and veteran status, or any other characteristic protected by applicable federal, state, or local law. This policy governs all aspects of employment including, without limitation, recruiting, hiring, compensation, benefits, promotion, assignment, and dismissal. In addition, it is the Firm's policy to provide an environment that is free of prohibited harassment of any kind including, without limitation, that which is based on sex, race, age, disability, ethnic background, or any other category protected by law (including the categories listed above). The Firm complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, please contact askHR@klgates.com.