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

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Data Engineer

Austin, TX · On-site

$91K - $169K/yr

Joining us as a Data Engineer, you'll play a pivotal role in driving our engineering team's success and ensuring flawless execution of our projects. This is your chance to be part of an ambitious ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Data Engineer

San Marcos, TX · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Austin, TX · On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Austin, TX · On-site

$91K - $169K/yr

Joining us as a Data Engineer, you'll play a pivotal role in driving our engineering team's success and ensuring flawless execution of our projects. This is your chance to be part of an ambitious ...

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

The Data Engineer is accountable for automating the import and export of enterprise data, ensuring data integrity across all internal and external systems, and building reliable, well-documented data ...

GCP Data Engineer

Austin, TX

$113K - $136K/yr

Data Engineer will closely work with cross-functional teams to ensure data integrity, reliability, and scalability. You need to have expertise in Google Big Query, Google Cloud Storage, Dataflow ...

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

The Data Engineer is accountable for automating the import and export of enterprise data, ensuring data integrity across all internal and external systems, and building reliable, well-documented data ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Job Title : Sr. Data Engineer IV Process : 2 rounds virtual, final interview onsite Location: 3800 Quick Hill Road Austin, TX 78728 (3 days onsite) Intro Summary We're seeking a highly skilled Senior ...

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Engineer will closely work with cross-functional teams to ensure data integrity, reliability, and scalability. You need to have expertise in Google Big Query, Google Cloud Storage, Dataflow ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Intellisoft Technologies is seeking a highly skilled Data Engineer with extensive experience in Fivetran. This role is critical to ensuring seamless data integration and enabling scalable analytics ...

AWS Data Engineer

Austin, TX · On-site

$50 - $60/hr

Role: AWS Data Engineer Location: Austin, TX(Hybrid) Key Responsibilities: * Develop and execute a strategic roadmap for data processing, storage, and analytics aligned with organizational goals.

New

Data Engineer II

Austin, TX · On-site

$114K - $137K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power ...

Data Engineer II

Austin, TX

$114K - $137K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power ...

Data Engineer, Marketplace

Austin, TX

$113K - $136K/yr

The AWS Marketplace team is looking for a Data Engineer to play a key role in building insights from our large and ever-growing sets of partner and customer data Are you passionate about highly ...

Data Engineer

Austin, TX · On-site

$224K - $279K/yr

You treat data quality as an engineering problem: tests, monitoring, and lineage, not spot checks. * You've done real work extracting structure from unstructured sources. * You move fast with AI ...

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... Data Pipeline automation o Strong Python programming skills o Apache Kafka and Python (using client libraries like Confluent's librdkafka or kafka python to produce and consume messages from Kafka ...

Showing results 41-60

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 Aug 16, 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 is a weekend data engineer?

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?

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?

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Data Engineer

Arbor

Austin, TX • Remote

$117K - $140K/yr

Full-time

Re-posted 5 days ago


Job description

About Arbor

Arbor is building an intelligent electricity marketplace to power an abundant electric future. As AI data centers drive a surge in electricity demand, millions of homes and businesses remain trapped with 20th century monopoly interfaces, overpaying by billions while cheap renewable energy goes to waste. Our AI-powered platform aggregates users to unlock wholesale pricing, automatically switches between the best rates, and optimizes usage to align with prices in real-time—delivering the same market advantages that were previously exclusive to Fortune 500 companies. We've raised over $20 million from leading investors and have saved over $12 million for more than 100,000 homes and businesses.

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and the insights that drive pricing decisions, marketplace performance, and customer outcomes. Our data stack is modern, consolidated, and still maturing — which means you'll have real ownership over how it evolves, not just tickets to close.

This is a high-impact, high-ownership role on a lean team. We move fast, and we expect you to bring the same AI-first development mindset we apply across the entire engineering organization.

What You'll Do

Build and maintain our data pipeline infrastructure, spanning ingestion through Fivetran and custom pipelines from our GCP production systems into Snowflake. You'll own our dbt transformation layer end-to-end — modeling energy market data, customer lifecycle events, marketplace results, and utility rate feeds into clean, reliable, and well-documented data assets.

You'll partner closely with engineering, operations, and leadership to deliver analytics that directly inform business decisions — rate monitoring, supplier pricing trends, customer switching patterns, and marketplace performance. You'll work in Hex to build and maintain dashboards that surface actionable intelligence for non-technical stakeholders, and you'll help define data contracts and schema standards that make our Snowflake environment trustworthy as we scale.

You'll also play a meaningful role in shaping how we use AI in our data workflows — whether that's automating data quality monitoring, accelerating development with AI-assisted SQL and Python, or surfacing anomalies in complex regulatory data feeds.

What You Bring

3–6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech, marketplace, or similar).

Strong dbt fundamentals — you know how to design models that are maintainable, not just functional. You think about testing, documentation, and downstream consumers as part of the job, not afterthoughts. Solid SQL is a given; Python for pipeline development or data quality tooling is a plus.

Hands-on experience with Snowflake, including schema design, query performance, and understanding the cost/performance tradeoffs of how data is structured and accessed. Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our infrastructure footprint.

Experience building dashboards for business stakeholders in tools like Hex, Looker, or similar. You know the difference between a dashboard that gets used and one that doesn't.

Energy markets or regulated industry experience is not required, but genuine curiosity about how electricity pricing, competitive markets, and the grid work will make this role more interesting to you.

An AI-native approach to your own productivity — you're actively using AI tools to accelerate development and aren't waiting for someone to tell you to start.

Compensation & Work Setup Competitive salary + meaningful equity + benefits. We're flexible on location but value regular in-person collaboration with the team.