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Data Engineer Remote Contract Jobs in Austin, TX

Senior Network Engineer (Remote)

Austin, TX ยท Remote

$106K - $145K/yr

The Senior Network Engineer is responsible for executing data center network assessments and will help define additional product offerings in the future. This includes project planning and designing ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Senior Software Engineer (Remote)

Austin, TX ยท Remote

$121K - $160K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Work with data technologies such as PostgreSQL, MySQL, and Redis to support reliable, scalable ...

Senior Java Engineer (Remote)

Austin, TX ยท Remote

$123K - $163K/yr

Coordinate and assist with troubleshooting of code defects, data errors and configuration problems ... Empathy with developers. Innate desire to create a superlative developer experience down to the ...

Data Services Engineer SR

Austin, TX ยท On-site +1

$113K - $136K/yr

Data Engineering and Development: * Design, build, and maintain scalable data pipelines and ... Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning ...

Showing results 41-60

Data Engineer Remote Contract information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

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

As of Sep 8, 2026, the average yearly pay for data engineer remote contract 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 data engineer remote contract?

A Data Engineer Remote Contract position involves building and maintaining the infrastructure and systems that enable organizations to collect, store, and analyze large amounts of data, all while working remotely. As a contractor, you are typically hired for a specific project or period and are not a permanent employee. This role often includes tasks like designing data pipelines, optimizing database performance, ensuring data quality, and collaborating with data scientists and analysts. Working remotely provides flexibility in location, but contractors are expected to communicate regularly with teams and meet project deadlines.

What are the key skills and qualifications needed to thrive as a data engineer in a remote contract role?

To thrive as a Data Engineer in a remote contract position, you need strong programming skills (such as Python or Java), deep knowledge of database systems, and a background in computer science or a related field. Proficiency with data pipeline tools (like Apache Airflow), cloud platforms (such as AWS or Azure), and ETL processes, along with relevant certifications, is highly valued. Excellent problem-solving abilities, clear communication, and self-motivation are key soft skills, especially when working independently or with distributed teams. These skills ensure the reliable design, development, and maintenance of scalable data systems, which are critical for organizations to leverage data effectively.

What are some common challenges faced by data engineers working remotely on contract assignments?

Data Engineers working remotely on contract assignments often navigate challenges such as aligning with distributed teams across different time zones, ensuring secure access to sensitive data, and maintaining clear communication with stakeholders. Since contractors may work with diverse tech stacks across projects, adapting quickly to new tools and company-specific data infrastructures is essential. Additionally, balancing multiple deliverables and onboarding efficiently without in-person support requires strong self-management and proactive collaboration skills.

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

AspectData Engineer Remote ContractData Analyst Remote Contract
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting and visualization tools
Employer & Industry UsageTech, finance, healthcareMarketing, retail, consulting
Common Search & ComparisonYesYes

The main difference between Data Engineer Remote Contract and Data Analyst Remote Contract lies in their focus and skill sets. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in cloud platforms and programming. Data Analysts interpret data, create reports, and visualize insights. Both roles are remote and industry-specific, but they serve different functions within organizations.

What are the most commonly searched types of Data Engineer Remote jobs in Austin, TX?

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

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

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

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

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

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

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

Infographic showing various Data Engineer Remote Contract job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Data Analyst - Contract (~30 hours/week)

Haven Energy

Austin, TX โ€ข On-site, Remote

Full-time

Posted 8 days ago


Job description

About Haven Energy
At Haven Energy, we're on a mission to accelerate the adoption of clean energy technologies by helping homeowners install solar and battery systems. We specialize in deploying battery systems to build VPPs through strategic partnerships with utilities, non-profits, and government agencies, with a particular focus on low and moderate income households. As a growing startup, we're looking for dynamic, driven professionals who want to make a real impact in the clean energy space.
Summary of Role
Haven is looking for a contract analyst to do hands-on analytical work across the business, with an expected emphasis on our marketing and sales funnel.
You'll be looking at where leads come from, where they stall, which channels and campaigns produce installs rather than just form fills, and what our real cost per acquisition looks like given a long, multi-step sales cycle. But the role isn't limited to it. We're a small team with a lot of open questions. Priorities may shift into operations, installation throughput, program performance, or wherever the most valuable question happens to be that month.
Across all of it, the common thread is the same: when the answer depends on how something is counted (e.g. what a "qualified lead" is, when a deal is really attributable to a channel, what counts as a completed install) you'll work out a defensible definition, document it, implement it in the data, and explain the reasoning in plain language.
You'll work on top of our existing stack (Snowflake, Fivetran, dbt) rather than building infrastructure. AI tooling handles much of the routine pipeline work, and our software engineers are available for harder infrastructure problems. What we need from you is analytical judgment and the ability to communicate what you find to a non-technical audience.
This is a remote contract engagement at roughly 30 hours per week. Compensation depends on experience.
What You'll Do
Analyze the conversion funnel
  • Map how leads move from first touch through qualification, sale, and install
  • Write documentation on current implementations and proposals for new analytics approaches
  • Analyze conversion rates by channel, campaign, geography, program, and customer segment
  • Evaluate channel and campaign performance against downstream outcomes (installs, revenue), not just top-of-funnel volume
  • Work out CAC and payback by channel in a way that holds up given our sales cycle and partner-driven programs

Take on analysis wherever it's most needed
  • Dig into questions from across the business including, installation throughput, program and partner performance, customer outcomes
  • Investigate specific questions as they come up, and surface things nobody thought to ask about
  • Bring a recommendation, not just a chart

Pin down how things get counted
  • Turn fuzzy questions ("is this channel working?") into precise, well-scoped metrics
  • Where teams count the same thing differently, work with them to land on one clear definition then document it and implement it in our models
  • Build the logic into dbt so the numbers are reproducible rather than living in an ad-hoc spreadsheet

Make the findings usable
  • Build and maintain the dashboards the team relies on
  • Present findings clearly to non-technical stakeholders
  • Leave your work documented well enough that the team can keep using it after the engagement

Improve what we capture
  • Flag gaps in how we track leads, sources, and funnel stages in HubSpot, and recommend fixes so the data supports the analysis we want to do

You're a Great Fit If You Have
  • 4+ years in analytics, data analysis, or a hybrid data role
  • Real depth on marketing and sales funnels: you've built funnel models, worked through attribution tradeoffs, and can explain why you chose one approach over another
  • Professional, hands-on experience with SQL. You can get to the answer yourself and verify it in the data rather than hand-waving the logic underneath it
  • Comfort in a modern data stack. dbt and Git experience required
  • Range: you're comfortable being pointed at an unfamiliar part of the business and figuring out the right question
  • Strong written and verbal communication, and a talent for explaining data to non-technical audiences
  • Experience with CRM data, especially HubSpot
  • A bias toward getting to a useful answer quickly and iterating, rather than waiting for perfectly clean inputs
  • The ability to scope your own work: you'll get context and priorities from us, but not tickets
  • Experience using AI/LLM tooling (e.g., Claude Code) for analytics work

Bonus
  • Experience with long or multi-step consumer sales cycles (home improvement, solar, insurance, finance, healthcare)
  • Operations or supply chain analytics experience
  • Interest in how energy is produced and consumed

This Role May Not Be Right For You If
  • You want requirements handed to you as tickets
  • You're looking for a marketing execution role. This is analysis, not running campaigns
  • You're looking for a data-engineering engagement
  • You'd rather stay heads-down in the warehouse than talk to stakeholders about what they need
  • You want a stable, narrowly-defined scope

Equal Employment Opportunity
Haven embraces diversity and is an Equal Employment Opportunity employer. Engagement decisions are made on the basis of qualifications, merit, and business need. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or any other status protected under federal, state, or local law.