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Remote Data Engineering Jobs in Austin, TX (NOW HIRING)

Pabst

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ... data engineering * Strong experience with Microsoft SQL Server, T-SQL, stored procedures, views ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA · On-site +1

$177K/yr

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Hireblazer

BI Data Architect (Data Modeling)

Austin, TX · Remote

$80 - $100/hr

Austin, TX (Remote for Anywhere in Texas) Duration: 3 Years Must have : Oil & Gas Industry Primary ... Partner with enterprise architects and data engineering teams to design efficient ETL/ELT pipelines ...

SpyCloud

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

You'll build the preprocessing and feature engineering pipelines your own models depend on, and you ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

Arbor

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

As AI data centers drive a surge in electricity demand, millions of homes and businesses remain ... You'll partner closely with engineering, operations, and leadership to deliver analytics that ...

Addison Group

Data Architect

Austin, TX · Remote

$85 - $90/hr

M & F remote, Tuesday-Thursday onsite Pay: $85-90/HR This position is eligible to enroll in medical ... data engineers, analysts, and data stewards Required Qualifications · 7-12+ years in data ...

Hired Recruiters

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking for a Data Engineer to take significant ownership in building Monte Carlo's cloud service, data pipelines and ML platform. The role will involve end-to-end development: from helping ...

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter* We are looking for a passionate Security Data Analyst/Python Developer to ...

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

myHR Partner

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and innovation? Role Overview & Key Interactions As a Data Platform Engineer at Quik!, you will be a ...

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Showing results 21-40

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Austin, TX

Remote Data Engineering information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do remote data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data engineering 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 remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

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

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

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

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

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

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

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

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

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Data Engineer

Pabst

Austin, TX • Remote

$113K - $136K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 13 days ago

Job description

About Pabst 

Nearly two centuries in, Pabst is still rewriting the playbook. We’re the team behind some of America’s most recognizable beer brands – driven by creativity, grit, and a passion for what’s next. We honor our heritage while pushing forward with bold ideas, fresh thinking, and a people-first culture. Because great brands are built by great people. 

The Role

We’re looking for a Data Engineer to join our Data Systems team and help build the modern data foundation behind our business. This role is all about turning complex data into scalable, reliable solutions that power reporting, analytics, integrations, and AI-driven insights across the company. You’ll design and support cloud-native data platforms using Microsoft’s modern data ecosystem, while helping modernize legacy systems and shape the future of our data environment. We’re looking for someone who enjoys solving problems, building scalable systems, and partnering across teams to turn ideas into action.

Why You'll Love It Here

Flexibility
Work that fits your life – with a remote work schedule, unlimited vacation, 9 sick days, 10 company holidays, and 2 paid volunteer days.

Great Benefits
Comprehensive healthcare plans, a 401(k) with company match and immediate vesting, paid parental leave, disability coverage, life insurance, and more. 

Great People
A casual, high-energy environment where authenticity is celebrated, curiosity is welcomed, and creativity is supported. It's a place where you can show up as yourself, take on meaningful challenges, and help build brands people actually care about. 

What You'll Do

In this role, you’ll help shape and support the data systems that power smarter decisions across Pabst.

  • Design, develop, and optimize database objects including tables, views, and stored procedures within Microsoft Fabric
  • Build and maintain scalable ETL/ELT pipelines using Microsoft Fabric Pipelines, Azure Data Factory, SSIS, and Azure Data Lake Storage Gen2
  • Modernize and migrate legacy SSIS solutions into cloud-native Azure and Fabric environments
  • Partner with engineers, analysts, and business teams to develop scalable data warehouse and lakehouse solutions
  • Integrate data from internal and third-party systems using APIs, FTP/SFTP, and cloud ingestion patterns
  • Monitor and support production data pipelines to ensure reliability, performance, and data quality
  • Contribute to data architecture best practices around governance, security, scalability, and optimization
  • Help support a modern analytics environment that enables enterprise reporting, advanced analytics, and AI-driven insights
What You'll Bring
  • 3-5+ years of overall IT experience, including 3+ years focused on data engineering
  • Strong experience with Microsoft SQL Server, T-SQL, stored procedures, views, and SSIS
  • Hands-on experience with Microsoft Azure and Microsoft Fabric
  • Experience with Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL, and Logic Apps
  • Familiarity with Medallion Architecture (Bronze/Silver/Gold) data modeling approaches
  • Experience with Power BI reporting and dashboard development preferred
  • Exposure to data science workflows, machine learning, or AI deployments is a plus
  • Strong analytical and problem-solving skills
  • Ability to communicate technical concepts clearly to both technical and non-technical audiences
  • A collaborative mindset with the ability to work independently and cross-functionally
Think you’d be a great fit? Let’s talk.PBC takes pride in developing and promoting talent as an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, veteran status, or any other category protected by law. By fostering a diverse business environment, PBC welcomes opportunities to learn from each other, our customers, and business partners.
California Residents click HERE for our Privacy Notice. 
Pabst Brewing logo

About Pabst Brewing

Sourced by ZipRecruiter

Industry

Food services and drinking places

Company size

201 - 500 Employees

Headquarters location

San Antonio, TX, US

Year founded

1844

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