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Data Engineer Jobs in Austin, TX (NOW HIRING)

Interactive Process Technology LLC

Data Engineer

Austin, TX

$113K - $136K/yr

Data Engineer Austin, TX At IPT Associates (IPTA), we enjoy solving real-world problems with technology. We work closely with our customers, teammates, experts, and partners to come up with practical ...

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 ...

First Citizens Bank

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making ...

General Motors

Agentic Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

The Role The Agentic Data Engineer is a preeminent technical expert who designs, builds, and scales industrial-grade data and AI platforms that power vehicle product engineering all the way from ...

First Citizens Bank

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making ...

General Motors

Agentic Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Role The Agentic Data Engineer is a pre-eminent technical expert who designs, builds, and scales industrial-grade data and AI platforms that power vehicle product engineering all the way from ...

Pabst

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

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 ...

Omega Solutions, Inc.

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Omega Solutions, Inc. is seeking a Data Engineer to develop and automate large scale data processing systems. The role involves building scalable Spark data pipelines and leveraging Airflow to ...

Career Opportunities

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to architect, build, and maintain our next-generation data pipelines. You will be the technical subject matter expert on our Modern Data Stack, primarily ...

Central Health

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 ...

Contact Government Services, LLC

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Central Health

Data Systems Engineer

Austin, TX

$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 ...

Base Power Company

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As a Software Engineer on the Data Infrastructure team, you will design, build, and operate the backend data infrastructure that powers how we understand and run our business. This is a backend ...

Interactive Process Technology LLC

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field3+ years of experience in data engineering, data analysis, business intelligence, or related ...

Pabst

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

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 ...

IT America Inc

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Databricks Data Engineer Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) Duration: Long-Term Contract Key Skills: Looking for a Senior Databricks Data Engineer ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Austin, TX

Data Engineer information

See Austin, TX salary details

$44.1K

$128.5K

$175.9K

How much do data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer in Austin, TX is $128,545.00, 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?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,545 per year, or $61.8 per hour.

Data Engineer

Interactive Process Technology LLC

Austin, TX • On-site

$150K/yr

Full-time

Re-posted 27 days ago

Job description

Data Engineer
Remote
At IPT Associates (IPTA), we enjoy solving real-world problems with technology. We work closely with our customers, teammates, experts, and partners to come up with practical solutions that make a difference. Whether it's a government or business organization, we focus on understanding the need and building something that works.
Our Team
At IPTA, everything starts with our people. We're big believers that when you invest in your team, great things happen. That's why we encourage learning, growth, and trying new things-even if you don't have all the answers yet.
Our culture is rooted in fierce determination, fearless integrity, and passionate service-but we also like to keep things collaborative, supportive, and down-to-earth.
We're looking for people who:
  • Are curious and excited about technology
  • Like solving problems and figuring things out
  • Can take initiative but also enjoy working with a team
  • Want to keep learning, growing, and challenging themselves

If you're someone who's eager to jump in, learn something new, and make an impact-you'll fit right in here.
Responsibilities:
  • Support development and maintenance of data pipelines, datasets, and curated data products within the Army Vantage analytics ecosystem
  • Assist with preparing ingested data in Vantage for manipulation, including standardization, transformation, enrichment, validation, and basic quality checks
  • Help structure data so it can support visualization, analysis, reporting, and AI-assisted workflows within Army Vantage
  • Apply foundational data modeling and data ontology concepts to help organize mission data in ways that improve discoverability, usability, and accessibility
  • Support connections between disparate Army databases, FCC tools, A365-based data sources, and higher command data sources
  • Use A365 and Microsoft tools such as Dataverse, Power Platform, Power Automate, Power Apps, SharePoint, and Power BI to support data collection, workflow automation, reporting, and transition of data into Vantage-ready structures
  • Develop and maintain SQL queries and scripts to support dashboards, metrics, data validation, and ad hoc analysis
  • Document data flows, data definitions, transformation logic, and engineering processes to improve maintainability and reuse
  • Work closely with senior engineers, government analysts, and data scientists to implement mission requirements while following security, governance, and access control policies

Requirements:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field
  • 1-3 years of experience in data engineering, data analysis, business intelligence, or related technical roles
  • Must have experience with Azure Data Factory
  • Strong Python programming skills
  • Foundational knowledge of SQL, data manipulation, data modeling, and data quality concepts
  • Familiarity with Microsoft-based data environments, preferably Microsoft 365, Dataverse, Power Platform, Power BI, SharePoint, or related tools
  • Preferred experience with Palantir Foundry (Army Vantage); candidates without direct Vantage experience must be able to quickly learn Army Vantage tools, data workflows, and data product development practices
  • Ability to work in secure government environments and follow defined engineering, governance, and documentation processes
  • Ability to obtain and maintain an Active Secret clearance

Desired Experience:
  • Direct exposure to Army Vantage or other DoD enterprise analytics platforms
  • Hands-on experience with Army 365 (A365), Dataverse, Power Platform, Power Automate, Power Apps, SharePoint, and/or Power BI
  • Experience supporting dashboards, reports, analytics solutions, data pipelines, or data quality activities
  • Familiarity with basic data governance, metadata, data cataloging, data ontology, or data quality practices
  • Strong communication skills, attention to detail, and willingness to learn new Army data platforms and mission workflows

IPTA is an Equal Opportunity Employer. All employment decisions are based on individual merit, including qualifications, experience, performance, and business needs, consistent with applicable federal laws and federal contracting requirements. IPTA provides equal opportunity and utilizes merit-based principles to make employment-related decisions.
#clearance

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