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Senior Data Engineer Jobs in Austin, TX (NOW HIRING)

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group, designing scalable Microsoft Fabric data platforms. Responsibilities include establishing ...

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 ...

Senior Data Engineer

Austin, TX · On-site

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data systems, working closely with Product Management, SpyCloud Labs, and Engineering teams. Your focus ...

Senior Data Engineer

Austin, TX · Hybrid

$105K - $142K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Senior Data Engineer

Austin, TX

$105K - $142K/yr

About the role As a Senior Data Engineer on the Viewer Product Data Engineering team, you will play a pivotal role in designing data models and building scalable pipelines to capture business metrics ...

Senior Data Engineer

Austin, TX

$105K - $142K/yr

As a Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capture different business metrics across different Roku Devices. About the role ...

Senior Data Engineer

Austin, TX · On-site

$144K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data systems, working closely with Product Management, SpyCloud Labs, and Engineering teams. Your focus ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work ...

Senior Data Engineer

Austin, TX

$105K - $142K/yr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

About the role As a Senior Data Engineer on the Viewer Product Data Engineering team, you will play a pivotal role in designing data models and building scalable pipelines to capture business metrics ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

  • Medical

Job Summary We are seeking an experienced and passionate Senior Data Engineer to join our Data Platform team. You will be joining a small team responsible for architecting, building, and maintaining ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capture different business metrics across different Roku Devices. About the role ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Role: Sr. Snowflake Data Engineer Location: Austin, TX - Fulltime Position Minimum Qualifications: * Expert level fluency with Snowflake, SQL, Tableau, and Python is required. * Experience with data ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI's enterprise data platform with a strong emphasis on Google Cloud Platform, BigQuery and Airflow experience ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI's enterprise data platform with a strong emphasis on Google Cloud Platform, BigQuery and Airflow experience ...

Sr Data Engineer - API / Microservices

Austin, TX · Hybrid

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

McLane is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and integration solutions that support enterprise analytics, reporting, operational systems, and cloud ...

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client's Data Platform team. Our client is a leading healthcare technology company, dedicated to transforming the ...

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client's Data Platform team. Our client is a leading healthcare technology company, dedicated to transforming the ...

Sr GCP Data Engineer

Austin, TX · On-site

$114K - $137K/yr

  • Retirement

Benefits: * 401(k) Senior Data Platform Engineer Onsite Austin, TX We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. This role requires strong hands-on experience ...

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Showing results 1-20

Senior Data Engineer information

See Austin, TX salary details

$80.3K

$125.2K

$173.5K

How much do senior data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior data engineer in Austin, TX is $125,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $142,700.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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 Senior Data Engineer jobs in Austin, TX?

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

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

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

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

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

Infographic showing various Senior Data Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $125,218 per year, or $60.2 per hour.

Senior Data Engineer

K&L Gates

Austin, TX • On-site

$105K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


K&L Gates rating

7.4

Company rating: 7.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

28th of 34 rated law firms


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 a Senior Data Engineer to join the firm. The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group, designing scalable Microsoft Fabric data platforms. Responsibilities include establishing engineering standards, leading design, implementation, and optimization of Lakehouse, Warehouse, and Azure AI Foundry data pipelines. Role involves mentoring staff, collaborating with business and technology leaders, and delivering reliable governed products aligned with the firm's AI strategy. Reporting to the Senior Manager, Data Engineering, this position focuses on technical leadership and does not include direct supervisory responsibilities.
KEY RELATIONSHIPS
Director, Enterprise Applications, Data, and AI Platforms; Senior Manager, Data Engineering; Senior Manager, Automation and Development; Senior Manager, Enterprise Applications; Senior Applications Architect; Senior Data Architect; Team Lead, Workflow and Automation; Technical Program Manager; Project Manager; Cloud Platform Engineer; Security Engineer; Business Data Experts and Business Data Sponsors
ESSENTIAL DUTIES
• Designing scalable and resilient data platforms with Microsoft Fabric, including Lakehouse and Warehouse solutions on OneLake, while making independent technology decisions.
• Establishing and maintaining data engineering standards, patterns, and best practices across the data engineering group and the wider EA organization.
• Designing, developing, and overseeing complex data pipelines using Fabric Data Factory, Dataflow Gen2, and Fabric Notebooks for ingestion, transformation, and advanced automation.
• Leading schema design, dimensional modeling, Medallion Architecture implementation, and semantic model development to enable analytics, reporting, and AI-related workloads effectively.
• Optimizing data performance, reliability, and cost by proactively tuning, monitoring, and validating data quality through established processes.
• Ensuring data governance, quality, and security standards are integrated into solutions, collaborating with governance leads to apply classification, lineage, and access controls.
• Designing and maintaining data pipelines supporting Azure AI Foundry workloads, including grounding datasets, vector indexing preparation, and feature data for retrieval-augmented generation.
• Providing mentorship and guidance to junior data engineers through code reviews, design sessions, and technical coaching, enhancing the team's overall engineering quality.
• Partnering with business stakeholders to convert complex requirements into scalable data architectures while collaborating within an Agile DevOps model. Supporting CI/CD pipelines, automated deployments, and maintaining architecture documentation.
• Serving as a model for the Enterprise Applications team philosophy, advocating enterprise processes, procedures, security, standards, and knowledge-first support.
• Defining and overseeing testing strategies for assigned data solutions, including quality standards, user acceptance frameworks, and validation of data accuracy.
• Leveraging AI tools like Microsoft Copilot and Claude to aid development and contribute to AI solutions on the Microsoft platform stack. Adhering to governance standards, ensuring responsible use, data classification, and implementing model deployment controls effectively.
EXPERIENCE & SKILLS REQUIRED
• Hold Bachelor's degree in a technical field; equivalent experience accepted, with ability to obtain Microsoft certifications including DP-600, DP-203, and AI-900.
• Understand Data Mesh and Microsoft Purview, including domain ownership, federated governance, metadata management, cataloging, and sensitivity labeling.
• Maintain a secure workspace and willingness to travel up to 10% for offices, vendor sites, conferences, or seminars.
• Participate in scheduled release windows and production support events, including evenings or weekends, with advance notice and flexible scheduling.
• Demonstrate the ability to implement data governance, ensure quality, optimize performance, and integrate security controls into enterprise data solutions.
• Translate complex business requirements into scalable architectures and communicate designs visually using diagramming, whiteboarding, and collaborative tools.
• Collaborate effectively with technical and executive stakeholders while mentoring engineers and leading technical decisions to elevate engineering quality.
• Adapt to new technologies and utilize AI-powered tools in enterprise settings to enhance productivity and achieve improved results.
• 5+ years designing enterprise data platforms using Microsoft Fabric, including pipelines, schema design, dimensional modeling, Medallion Architecture, and semantic layer development.
• Demonstrate expertise in SQL and Python for data transformation and automation, utilizing Spark and CI/CD pipelines through Azure DevOps or GitHub Actions.
• Possess experience with Azure AI Foundry pipelines and real-time, event-driven architecture using Microsoft Fabric Real-Time Intelligence.
• Possess exceptional experience applying enterprise data governance practices or contributing to data governance or architecture councils.
Compensation Salary $128,000 - $ 249,000 / year
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 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.

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