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Senior Databricks Data Engineer Jobs in Austin, TX

Senior Data Engineer

Austin, TX ยท On-site

$144K - $187K/yr

Use databricks/spark to prepare, transform and serve data to customers * Build and optimize real ... or senior engineering role * Experience building and operating Lakehouse, Databricks, or large ...

Experience in data warehousing and dimensional data modeling (star/snowflake schemas). Proficiency ... Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional)

Senior Data Engineer

Austin, TX ยท On-site

$133 - $188.60/hr

## Senior Data EngineerApplyremote type: Hybridlocations: Austin, Texas, United States of Americatime ... Design and develop batch and streaming ETL/ELT pipelines in Azure Databricks to support ingestion ...

Senior Data Engineer

Austin, TX ยท On-site

$105K - $142K/yr

We're looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable ... Proficiency with data warehouses/lakes and big data technologies (e.g., Spark/Databricks, Snowflake ...

Sr. Data Engineer

Austin, TX ยท On-site

$130 - $170/hr

OneOncology is seeking a strong Sr. Data Engineer for a full-time role based in Austin, TX, ... Proficient in Databricks, Spark, and Delta tables; experience with large-scale distributed data ...

New

Associate Data Engineer 2027

Austin, TX ยท On-site

$113K - $136K/yr

SnowProCore, Databricks Data Engineer Associate, Google Associate Cloud Engineer or Data Engineer coursework. * General skills: GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation ...

Senior Data Engineer

Austin, TX ยท On-site

$133K - $188K/yr

Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining ... Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and ...

Senior Data Engineer

Austin, TX ยท On-site

$133K - $188K/yr

Build and support Databricks jobs and workflows for orchestration, scheduled execution, retraining ... Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and ...

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 ... Experience with a modern cloud data warehouse like Snowflake, Databricks, BigQuery, or Redshift.

Senior Data Engineer

Austin, TX ยท On-site

$105K - $142K/yr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ... Experience with a modern cloud data warehouse like Snowflake, Databricks, BigQuery, or Redshift.

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Showing results 21-40

Senior Databricks Data Engineer information

See Austin, TX salary details

$59K

$125.4K

$181.9K

How much do senior databricks data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior databricks data engineer in Austin, TX is $125,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $142,200.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

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

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Austin, TX?

The most popular types of Databricks Data Engineer jobs in Austin, TX are:

What are popular job titles related to Senior Databricks Data Engineer jobs in Austin, TX?

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

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

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

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

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

Infographic showing various Senior Databricks 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 $125,444 per year, or $60.3 per hour.

Senior Data Engineer

SpyCloud

Austin, TX โ€ข On-site

$144K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud's solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you're driven to align your career with a fantastic mission, look no further!
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 will be on modernizing our data platform utilizing Databricks and serving customers via purpose-built data stores (RDS, Elasticsearch, DynamoDB...etc), This is a hands-on, strategic leadership role shaping the future of data at SpyCloud.
What You'll Do:
  • Redesign and modernize data architecture for scalability, performance, and AI-readiness
  • Use databricks/spark to prepare, transform and serve data to customers
  • Build and optimize real-time and batch data pipelines using AWS tools (e.g, Lambda, S3, DynamoDB, ECS, EKS, Terraform)
  • Design systems to prepare and serve high-quality data for ML models and LLM applications
  • Optimize cost and performance of daily data ingestion, transformation, and storage workflows
  • Work with Product and Engineering teams to ensure data solutions meet product requirements
  • Evaluate and implement modern tooling for data processing, ML data workflows, and observability
  • Guide and mentor data engineers, championing best practices and technical excellence
  • Ensure operational data quality, security, and reliability across systems
  • Lead long-term data architecture planning aligned with company and AI-driven goals

Requirements:
  • 8+ years of experience in data engineering or closely related disciplines
  • 2+ years in a technical leadership or senior engineering role
  • Experience building and operating Lakehouse, Databricks, or large-scale distributed data lake architectures in AWS
  • Knowledge of distributed systems as it pertains to data storage and computing
  • Experience building and managing large Elasticsearch/Opensearch data stores
  • Hands on experience building ETL scripts
  • Hands-on experience preparing and managing data for machine learning and LLM workflows
  • Strong development skills in Python, especially in building data-intensive systems
  • Practical experience using DynamoDB and other AWS-native data services at scale
  • Effective communication and collaboration across technical and non-technical stakeholders
  • Proven ability to mentor and grow engineering talent and lead large-scale initiatives

Nice to Have
  • Familiarity with AI/ML tools such as SageMaker, LangChain, or vector databases
  • Understanding of data governance, privacy, and compliance in AI contexts
  • Comfort working in fast-paced environments with evolving product and technical requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related STEM field
  • C programming language experience
  • Go programming language experience
  • Experience with password cracking tools

Base Salary Range: $144,000 - $187,000
The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.
U.S.-Based Benefits + Perks (for Full Time Employees):
At SpyCloud, we are committed to working alongside individuals who are equally passionate about preventing cybercrime, regardless of their department or role. Guided by our core values in all business decisions, we prioritize unity in our mission and ensure all SpyCloud employees have the support and benefits they need to stay focused on our goals. In addition to our engaging workspace in South Austin, flexible and remote-friendly work options, and competitive salary package, we offer our employees a comprehensive benefits package that includes:
  • 401(k) with Employer Contribution
  • Health, Vision, and Dental Insurance
    • Health Savings Account (HSA) available with Employer Contribution
  • Employer Paid Life, Short-term, and Long-term Disability Insurance
  • Generous PTO Plan and 16 paid holidays per year

U.K.-Based Benefits + Perks (for Full Time Employees):
  • Retirement Savings Plan with Employer Contribution
  • Employer Provided Private Health Insurance and Healthcare Cashplan
  • Employer Paid Life Insurance, Income Replacement, and Critical Illness Protection
  • Employee Assistance Program
  • 25 days annual accrued holiday plus 8 paid bank holidays and a paid company shutdown during winter holidays

About SpyCloud:
SpyCloud transforms recaptured darknet data to disrupt cybercrime. Its automated identity threat protection solutions use advanced analytics and AI to accelerate investigations and protect workforce, consumer, and supplier identities from the threats that matter most: authentication bypass, session hijacking, malicious insiders, account takeover, ransomware, and fraud. Its data from malware-infected devices, successful phishes, combolists, and third-party breaches also powers many popular dark web monitoring and identity theft protection offerings. Customers include 7 of the Fortune 10, along with hundreds of global enterprises, mid-sized companies, and government agencies worldwide. Headquartered in Austin, TX, SpyCloud is home to more than 250 cybersecurity experts whose mission is to protect businesses and consumers from the stolen identity data criminals are using to target them now.
To learn more and see insights on your company's exposed data, visit spycloud.com.
Our Mission:
Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminals' ability to profit from stolen information.
Who We Are:
SpyCloud is a place for innovative, collaborative, and problem-solvers to thrive. Individually, we're amazing, but together, we're unstoppable. We celebrate diversity and various perspectives and aim to create an inclusive and supportive environment for all. We are proud to be an Equal Employment Opportunity and Affirmative Action employer of choice. All aspects of employment decisions will be based on merit, performance, and business needs. We do not discriminate on the basis of any status protected under federal, state, or local law. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Women, minorities, individuals with disabilities, and protected veterans are encouraged to apply. SpyCloud complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
SpyCloud expressly prohibits any form of workplace harassment. Improper interference with the ability of SpyCloud's employees to perform their job duties may result in discipline up to and including discharge. SpyCloud shares the right to work and participates in the E-Verify program in all locations.
If you need assistance or accommodation due to a disability, you may contact us.
Our Culture:
Our culture is something really special. We're all driven to disrupt the cybercriminal economy as we keep customer accounts safe from compromise. We support a truly worthy and serious mission, but we have fun doing it together. If you are driven, inventive, and collaborative, you'll fit right in.
SpyCloud's Recruitment Policy:
We will never ask an applicant for sensitive or personal financial information during the recruitment process. We advise all applicants seeking employment with SpyCloud to review available information on recruitment fraud. Anyone who suspects that they have been contacted by someone falsely representing SpyCloud should email careers@spycloud.com.
Compensation Transparency Policy:
At SpyCloud, we believe in transparency and fairness in compensation. We strive to ensure that all employees are fairly compensated for their contributions, and we openly discuss our compensation philosophy and structure. We are committed to providing competitive salaries and benefits packages to attract and retain top talent, and we encourage open dialogue and feedback regarding compensation matters.
Learn more and apply: SpyCloud Careers
SpyCloud is not sponsoring visas at this time.
For applicants residing in California, please click here to read SpyCloud's CCPA Notice.
For applicants residing in the UK, please click here to read SpyCloud's Employee Privacy Notice.