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Data Engineer Jobs in Austin, TX (NOW HIRING)

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

Key Responsibilities 1. Data Engineering & Pipeline Development * Design, develop, and maintain data pipelines using Microsoft Fabric Data Factory for data ingestion, transformation, and ...

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

Data Engineer Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models ...

Data Engineer

Austin, TX ยท Hybrid

$113K - $136K/yr

Data Engineer Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models ...

Data Engineer

Austin, TX ยท On-site

$55 - $70/hr

We are seeking a skilled Data Engineer to support a critical enterprise data migration initiative. This role will focus on analyzing existing Hierarchical Data Models (HDM), understanding complex ...

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

Data Engineer Location: Austin, TX, USA Job Type: Full-Time About the Role We are seeking a Data Engineer to build scalable data pipelines and support analytics and machine learning initiatives. Key ...

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between ...

Data Engineer

Austin, TX

$113K - $136K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader ...

Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data integration function. You will be primarily responsible for migrating new clients' legacy data from their ...

Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data integration function. You will be primarily responsible for migrating new clients' legacy data from their ...

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data integration function. You will be primarily responsible for migrating new clients' legacy data from their ...

Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced startup life. The ideal candidate doesn't just build pipelines - they think critically about how data ...

Data Engineer

Austin, TX

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced startup life. The ideal candidate doesn't just build pipelines - they think critically about how data ...

Data Engineer

Austin, TX

$137K - $250K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between ...

Data Engineer

Austin, TX

$137K - $250K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between ...

Data Engineer

Austin, TX

$144K - $263K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between ...

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

They are seeking a talented and driven Data Engineer to help elevate their data platform by designing and developing scalable data infrastructure and supporting data-driven decision-making.

Data Engineer

Austin, TX ยท 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 ...

Data Engineer I

Austin, TX ยท 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 ...

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Showing results 1-20

Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do data engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data engineer 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 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

Data Engineer

K&L Gates

Austin, TX โ€ข On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description


At K&L Gates, we are looking for smart, imaginative and hard-working people with diverse backgrounds, experiences and ideas to join us. Perhaps our search for talented visionaries and your search for important and impactful work lead to the same place.
We are seeking an experienced Data Engineer with a strong focus on Microsoft Fabric to design, implement, and maintain enterprise data solutions. The ideal candidate will have a minimum of 2 years of hands-on experience implementing Microsoft Fabric, including deep expertise in Fabric Data Factory, Dataflow Gen2, Notebooks, and Data Warehouse and Lakehouse design.
This role will collaborate with business units across Finance, HR, Client Growth, and other departments to deliver scalable, reliable, and business-aligned data products. The successful candidate must demonstrate the ability to choose the right Fabric technology (Lakehouse vs. Warehouse) for each business scenario and apply modern data engineering practices within an Agile DevOps environment.
Key Responsibilities
1. Data Engineering & Pipeline Development
  • Design, develop, and maintain data pipelines using Microsoft Fabric Data Factory for data ingestion, transformation, and orchestration.
  • Build Dataflow Gen2 processes to prepare and enrich data from multiple sources for analytical consumption.
  • Develop and manage Fabric Notebooks (Python, Spark, SQL) for advanced transformations and automation.
  • Deploy, monitor, and optimize data pipelines using CI/CD processes in Azure DevOps or GitHub Actions.
  • Implement robust data quality, validation, and monitoring processes.

2. Data Architecture & Modeling
  • Design and implement Data Warehouses and Lakehouses within Microsoft Fabric to meet analytical and operational needs.
  • Understand when to use Lakehouse vs. Warehouse based on data volume, structure, performance requirements, and business use cases.
  • Apply best practices for data modeling (star/snowflake schema, dimensional modeling, and semantic models).
  • Ensure alignment with enterprise architecture and data governance standards.

3. Analytics & Business Enablement
  • Develop Power BI semantic models and datasets using DAX and Power Query for reporting and self-service analytics.
  • Collaborate with BI and business teams to ensure data products meet stakeholder needs.
  • Optimize Power BI performance by tuning data models, queries, and refresh strategies.
  • Support advanced analytics, forecasting, and AI initiatives through well-structured and high-quality data sources.

4. DevOps & Agile Delivery
  • Work within a DevOps Agile framework, participating in sprint planning, stand-ups, and retrospectives.
  • Use version control and continuous integration tools to manage and deploy data assets.
  • Collaborate closely with cross-functional teams including software engineers, BI developers, and business analysts.
  • Create detailed technical documentation, reusable templates, and automated deployment scripts.

5. Cross-Departmental Collaboration
  • Partner with stakeholders in Finance, HR, Client Growth, Operations, and IT to understand business needs and deliver tailored data solutions.
  • Translate business requirements into technical specifications and implement scalable data solutions accordingly.
  • Promote best practices for data accessibility, quality, and governance across departments.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or 10 years of working experience in related field.
  • Minimum of 2 years of hands-on experience implementing Microsoft Fabric (Data Factory, Dataflow Gen2, Notebooks, Data Warehouse, Lakehouse).
  • Proven experience developing and deploying Fabric Data Factory pipelines with CI/CD automation.
  • Strong working knowledge of Power BI, DAX, and Power Query (M language).
  • Expertise in SQL and Python for data transformations, query optimization, and automation.
  • Solid understanding of data architecture principles, including data modeling, schema design, and performance tuning.
  • Experience applying DevOps and Agile methodologies in data engineering projects.
  • Ability to choose the right Fabric tools (Lakehouse, Warehouse, Dataflows, Notebooks, Power BI) to solve specific business problems.
  • Familiarity with Data Mesh principles, including domain-oriented data ownership, federated governance, and self-service data platforms.
  • Proficient in implementing Medallion Architecture (Bronze, Silver, Gold layers) within Microsoft Fabric for scalable and maintainable data solutions.
  • Excellent communication and collaboration skills, with experience working across multiple business domains.

Preferred Qualifications
  • Microsoft certifications such as:
    • Microsoft Certified: Fabric Analytics Engineer Associate
    • Microsoft Certified: Azure Data Engineer Associate
  • Experience with GitHub Actions or Azure DevOps YAML pipelines for CI/CD automation.
  • Familiarity with data governance frameworks, metadata management, and security best practices.
  • Exposure to real-time analytics, event-driven architecture, or AI/ML data preparation.

Join our team to shape the future of data-driven decision-making with Microsoft Fabric.
Be part of an innovative organization where your technical expertise drives meaningful business outcomes.
Compensation Salary $111,000 - $209,000
The compensation salary for this position will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market factors.
#LI-NW1
In accordance with the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act, qualified applicants for our Los Angeles and San Francisco offices with arrest and conviction records will be considered.
ABOUT THE FIRM
K&L Gates is a fully integrated global law firm with lawyers located across five continents in more than 40 offices. We have experienced dramatic growth in the past decade and now rank among the largest U.S. based law firms in the world. We take pride in constantly striving for innovation, imagination and an entrepreneurial spirit. We come up with big ideas and then roll up our sleeves to get the job done, guiding our clients through their most complex issues in a variety of industry sectors and across multiple regions of the world.
The industry recognition the firm has garnered emanates from the foundation of a global community aligned on behalf of our clients. The people at K&L Gates are committed to working together to create a legacy for each other, the firm, our clients, and the communities in which we serve. We thrive in an inclusive and socially conscious environment that embraces diversity and takes a holistic approach to the career evolution of all our professionals.
For more information or to view other job opportunities, please click here to go back to our careers page.
Notice: We participate in E-Verify in certain Firm locations for purposes of verifying employment eligibility.
Please be advised that this position requires successful completion of a background check. In accordance with the Washington State Fair Chance Act, Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance, the California Fair Chance Act, and applicable law qualified California and Washington State applicants with criminal history records will be considered. A criminal history will not categorically exclude a candidate from employment, and the Firm will consider relevant factors before making employment decisions based on criminal history information.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
BENEFITS
K&L Gates offers our personnel a comprehensive suite of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time personnel include:
  • Medical/Prescription Drug Coverage (including a Health Savings Account feature)
  • Back-up Child/Elder Care and access to a caregiving concierge
  • Dental Insurance
  • Wellness Program
  • Vision Insurance
  • Pre-tax Commuting Benefits
  • 401(k) Retirement Plan and Profit Sharing
  • Business Travel Accident Insurance
  • Short- and Long-term Disability Protection
  • Pet Insurance
  • Life Insurance (including Basic, Supplemental, Spouse, Child, and Accidental Death and Dismemberment)
  • Health Advocacy Services
  • Paid Time Off (25-30 days per year)
  • Identity Protection/Restoration and Fraud Insurance
  • Parental Leave (18 weeks of which 6 are paid; short-term disability may provide additional paid time off)
  • Student loan refinancing options and access to a student loan concierge service
  • Paid Holidays (12)
  • Addiction Resources
  • Family Building Benefits
  • Breast Milk Delivery and Lactation Support Services
  • Flexible Spending Accounts
  • Employees also may be eligible to receive bonuses and certain expense reimbursements
  • Employee Assistance Program
  • Professional Development and CLE Credit Opportunities
  • 529 Deductions
  • Relocation
  • Accident Insurance
  • Employee Referral Program
  • Critical Illness Insurance
  • Hybrid/Remote Work Opportunities
  • Hospital Indemnity Insurance
  • Perks including: Technology, Entertainment, and Travel Discount Programs
  • Bereavement Leave
  • All other benefits (such as leaves of absence) required by law

EQUAL EMPLOYMENT OPPORTUNITY
The Firm is an equal opportunity employer. It is the policy of the Firm that employment decisions shall be based on merit, qualifications and competence. Employment practices will not be influenced or affected by virtue of a person's race (including traits associated with race, including hair texture and protective hairstyles such as afros, braids, locks, and twists), religion, creed, color, national origin, ancestry, citizenship, physical disability, mental disability, medical condition, genetic information, marital status, sex, pregnancy, childbirth, breastfeeding, gender, parental status, gender identity, gender expression, sexual orientation, age, familial status, domestic violence victim status, military and veteran status, or any other characteristic protected by applicable federal, state, or local law. This policy governs all aspects of employment including, without limitation, recruiting, hiring, compensation, benefits, promotion, assignment, and dismissal. In addition, it is the Firm's policy to provide an environment that is free of prohibited harassment of any kind including, without limitation, that which is based on sex, race, age, disability, ethnic background, or any other category protected by law (including the categories listed above). The Firm complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, please contact askHR@klgates.com.