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Data Engineer Jobs in Leander, TX (NOW HIRING)

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 ...

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 ...

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 ...

The University of Texas at Austin

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

The Data Engineer will be responsible for expanding and optimizing the healthcare system's data architecture and ensuring data quality, security, and accessibility to support clinical and operational ...

TruDataRx

Data Engineer

Austin, TX

$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

$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 ...

Charles Schwab

Data Engineer

Austin, TX

$113K - $136K/yr

We are looking for an energetic and accomplished Data Engineer (individual contributor) with a strong technology and solution delivery acumen who will be responsible for the successful design ...

Contact Government Services, LLC

Data Engineer

Austin, TX

$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 · 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 ...

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 ...

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 ...

Certifid, Inc

Data Engineer

Austin, TX · On-site +1

$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 ...

McLane Company

Sr Data Engineer

Austin, TX · On-site

$114K - $137K/yr

We're looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable architectures, and analytics-ready datasets that accelerate engineers, analysts, and data scientists. You ...

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 ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Leander, TX

Data Engineer information

See Leander, TX salary details

$42.5K

$123.9K

$169.6K

How much do data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer in Leander, TX is $123,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $131,400.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Leander, TX? The most popular types of Data Engineer jobs in Leander, TX are:
What job categories do people searching Data Engineer jobs in Leander, TX look for? The top searched job categories for Data Engineer jobs in Leander, TX are:
What cities near Leander, TX are hiring for Data Engineer jobs? Cities near Leander, TX with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Leander, TX as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $123,945 per year, or $59.6 per hour.

Data Engineer

Hired Recruiters

Austin, TX • On-site, Remote

$113K - $136K/yr

Full-time

Re-posted 27 days ago

Job description

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 formulate requirements to full production implementation. You will be collaborating with a small team of seasoned engineers in a fast-moving startup environment.
  • Series C company
  • Founded: 2019
  • Funding: $101M
  • Visa: Will transfer H1
  • Salary: $150k - $200k
  • Job required skills: Python, PySpark, AWS

Location
Anywhere on the planet (we work remotely)
What gets you excited
- Building production-grade data pipelines and services to delight customers
- Owning major projects from inception to deployment, shipping at a rapid pace
- Architecting simple yet flexible solutions, and then scaling them as we grow
What gets us excited
- 5+ years of experience delivering production-grade data pipelines and backend services
- Mastery of Python and SQL and perhaps PySpark, familiarity with AWS technologies
- Experience building data pipelines, and perhaps distributed architectures too
- Sense of urgency, ownership mindset, and customer focus

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