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Data Engineer Jobs in Leander, TX (NOW HIRING)

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 ...

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 ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Job Title : Sr. Data Engineer IV Process : 2 rounds virtual, final interview onsite Location: 3800 Quick Hill Road Austin, TX 78728 (3 days onsite) Intro Summary We're seeking a highly skilled Senior ...

AI Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking an experienced AI Data Engineer with a strong Logical Database Administration (DBA) background to support enterprise AI initiatives. This role is heavily focused on database ...

Data Engineer II

Austin, TX · On-site

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Engineer II

Austin, TX · On-site

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

AI Data Engineer

Austin, TX · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As an AI / Data Engineer (P3), you will sit at the intersection of data engineering and applied AI-building the pipelines, models, and systems that help our Sales, Marketing, and Customer Success ...

Finance Data Engineer

Austin, TX

$149K - $249K/yr

  • Medical

  • Dental

  • Retirement

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 ...

Data Engineer, Marketplace

Austin, TX

$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 ...

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 ...

Finance Data Engineer

Austin, TX

$149K - $249K/yr

  • Medical

  • Dental

  • Retirement

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 ...

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... Data Pipeline automation o Strong Python programming skills o Apache Kafka and Python (using client libraries like Confluent's librdkafka or kafka python to produce and consume messages from Kafka ...

Data Engineer, Marketplace

Austin, TX

$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 ...

Finance Data Engineer

Austin, TX

$149K - $249K/yr

  • Medical

  • Dental

  • Retirement

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 ...

Data Engineer

Austin, TX · On-site

$90K - $105K/yr

Comfortable with DevOps concepts and Monitoring Tools * Solid grasp of computer science fundamentals including data structures and algorithms. * Proven ability to evaluate and apply new technologies ...

Finance Data Engineer

Austin, TX

$149K - $249K/yr

  • Medical

  • Dental

  • Retirement

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 ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

  • Medical

  • Retirement

Data Engineer Location: Dallas, TX OR Memphis, TN (Hybrid) Duration: 12 months Work Requirements: , Holders or Authorized to Work in the US Responsibilities: • Lead through context by clearly ...

Data Engineer, Marketplace

Austin, TX · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Engineer - Manager

Austin, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Showing results 41-60

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 13, 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.

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

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

Infographic showing various Data Engineer job openings in Leander, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,945 per year, or $59.6 per hour.

GCP Data Engineer

IntraEdge

Austin, TX • On-site

$113K - $136K/yr

Contractor

Re-posted 19 days ago


Job description

GCP Data Engineer  to serve  fraud data mart customers. 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, Cloud Composer, Python, and SQL will be crucial in developing effective data solution that support our fraud data analytics and reporting efforts.

  • 8+ years of hands-on experience with data management in gathering data from multiple sources and consolidating them into a single centralized location. Transforming the data with business logic in a consumable manner for visualization and data analysis.
  • Strong expertise in Google Big Query, Google Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and related Google Cloud Platform (GCP) services.
  • Proficiency in Python and SQL for data processing and automation.
  • Experience with ETL processes and data pipeline design.
  • Design, build, and maintain scalable data pipelines using Google Cloud Platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam), Cloud Composer (Airflow) and Pub/Sub.
  • Write high-performance, production-grade Python and SQL, optimizing queries to support data extraction, transformation, and loading (ETL) processes.
  • Implement complex data models in BigQuery, utilizing partitioning, clustering, and materialized views for optimal performance.
  • Collaborate with cross-functional teams, including business customers, Subject Matter Experts, to understand data requirements and deliver effective solutions. 
  • Implement best practices for data quality, data governance and data security.
  • Monitor and troubleshoot data pipeline issues, ensuring high availability and performance.
  • Contribute to data architecture decisions to provide recommendations for improving the data pipeline.
  • Stay up to date with emerging trends and technologies in cloud-based data engineering and cyber security.
  • Exceptional communication skills, including the ability to gather relevant data and information, actively listen, dialogue freely, and verbalize ideas effectively.
  • Ability to work in an Agile work environment to deliver incremental value to customers by managing and prioritizing tasks.
  • Proactively lead investigation and resolution efforts when data issues are identified taking ownership to resolve them in a timely manner.
  • Ability to interoperate and document processes and procedures for producing metrics.

Education:Employment Type: CONTRACTOR

IntraEdge logo

About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

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