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Data Engineer Jobs in Austin, TX (NOW HIRING)

CertifID LLC

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

About This Role We're seeking a talented and driven Data Engineer to help us elevate our data platform. This is a high-impact role where you'll contribute to the design and development of scalable ...

Arbor

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 ...

Charles Schwab

Data Engineer

Austin, TX

$113K - $136K/yr

We are in the midst of re-architecting and rebuilding our core enterprise data platform to support our rapidly growing and evolving business. The technical engineering lead will be a hands-on lead ...

Charles Schwab Inc.

Data Engineer

Austin, TX · On-site

$125K - $140K/yr

We are in the midst of re-architecting and rebuilding our core enterprise data platform to support our rapidly growing and evolving business. The technical engineering lead will be a hands-on lead ...

InterSources Inc

Data Engineer with QE Experience

Austin, TX · On-site

$113K - $136K/yr

They are seeking a Data Engineer with QE experience to work on data engineering tasks with a focus on testing knowledge and various technologies such as PySpark, Snowflake, and AWS. Responsibilities ...

Apple

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 ...

IntraEdge

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 ...

Apple

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 ...

Arkhya Tech. Inc.

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Build and optimize ML-ready datasets, feature engineering pipelines, and reusable data assets for model training, validation, and production deployment. * Develop high-quality Python solutions ...

Intellisoft Technologies

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 ...

IntraEdge

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 ...

Progressive Gaming

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 ...

IGT

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 ...

Fluidstack

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 ...

Amazon

Data Engineer, Marketplace

Austin, TX · On-site

$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 ...

Amazon

Data Engineer, Marketplace

Austin, TX · On-site

$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 ...

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/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 ...

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/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 ...

Apple

Finance Data Engineer

Austin, TX

$149K - $249K/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 ...

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Showing results 41-60

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

Texas State Library and Archives Commision

Austin, TX • On-site

$113K - $136K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

We're looking for a Data Engineer to help build and maintain the data pipelines that power our investment, research, and analytics teams. You'll work closely with data scientists, quants, and investors to onboard new datasets, ensure data quality, and maintain the reliability of the data that drives decision-making across the firm.
What You'll Do
• Build, maintain, and troubleshoot ETL pipelines (Airflow, Dagster, or similar).
• Ingest and deeply understand new datasets - their structure, quirks, and business meaning.
• Maintain high-quality, well-documented datasets used across the organization.
• Partner with non-engineering stakeholders to understand data needs and guide them to the right sources.
• Evaluate data vendors and ensure we use the best data for each use case.
What We're Looking For
• Strong Python and SQL skills.
• Experience building data pipelines; familiarity with Spark or Pandas a plus.
• Strong attention to detail and persistence in debugging data issues.
• Clear communication skills, especially with non-technical audiences.
• 1-3 years of experience (or strong internships); senior candidates also welcome.
Who Thrives Here
• Curious, detail-oriented engineers who like diving deep into complex datasets.
• People who enjoy owning problems end-to-end and defining their own requirements.
• Engineers who build reliable, maintainable systems and prefer fast, iterative execution.
Why Join
• High-impact role: the data you manage powers investment decisions across the firm.
• Broad exposure to many types of financial and alternative data.
• Opportunity to shape a growing data function and work with teams across the entire company.
Qualifications
• Strong Python and SQL skills.
• Experience building data pipelines; familiarity with Spark or Pandas a plus.
• Strong attention to detail and persistence in debugging data issues.
• Clear communication skills, especially with non-technical audiences.
• 1-3 years of experience (or strong internships); senior candidates also welcome.
Why is This a Great Opportunity
You are building data infrastructure that directly drives investment decisions. The pipelines you own power research, analytics, and live decision making across the firm. This is not abstract data work. It affects capital allocation.
You work directly with quants, data scientists, and investors. You are not buried behind layers of product or management. You see how data is used, where it breaks, and how to make it better. That feedback loop is fast and real.
You get broad exposure to high value datasets. Market data, alternative data, vendor feeds, internal research outputs. You learn how data actually behaves in production, not how it looks in a demo.

Apply