ZipRecruiter

Log In

1

Senior Databricks Data Engineer Jobs in Austin, TX

Pwc

Data Engineer - Manager

Austin, TX

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Progressive Gaming

Data Engineer II

Austin, TX

$114K - $137K/yr

You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...

G M Co

Senior Data Engineer

Austin, TX · 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 ...

IGT

Data Engineer II

Austin, TX

$114K - $137K/yr

You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...

General Motors

Senior Data Engineer

Austin, TX · 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 ...

General Motors

Senior Data Engineer

Austin, TX

$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 ...

Arrive Logistics

Senior Data Engineer

Austin, TX · 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.

Arrive Logistics

Senior Data Engineer

Austin, TX · 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.

University of Texas at Austin

Lead Data Engineer

Austin, TX · On-site

$101K - $133K/yr

You will lead senior data engineers and data engineers to create complex data pipelines within UT ... Translate complex technical concepts related to Databricks, AI, and data architecture into clear ...

Dlapiper

Data Engineer

Austin, TX

$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 ...

next page

Showing results 1-20

All JobsDatabricks Data Engineer JobsSenior Databricks Data Engineer JobsSenior Databricks Data Engineer Jobs in Austin, TX

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 Jul 20, 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.

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.

What are Senior Databricks Data Engineers?

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.
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:
Senior Databricks Data Engineer jobs near you
Infographic showing various Senior Databricks Data Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,444 per year, or $60.3 per hour.
Sr. Principal Data Engineer / Data Architect

Sr. Principal Data Engineer / Data Architect

Digital Remedy

Austin, TX

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Location: United States (Remote)

Reports to: SVP of Tech

 
As the Sr. Principal Data Engineer, you will be the primary architect of Digital Remedy's next-generation data platform. You won't just move data; you will design the blueprints for how we handle massive-scale AdTech telemetry. You will bridge the gap between business priorities and technical execution, ensuring our "Partner" integrations are scalable, cost-efficient, and resilient.
 

Key Responsibilities

  • Architectural Leadership: Design and oversee the migration/optimization of our data lakehouse architecture using Databricks.
  • Production Excellence: Serve as the escalation point for the platform, leveraging a proven record of handling production issues to ensure 24/7 reliability of mission-critical pipelines.
  • Strategic Capacity Planning: Work directly with the SVP of Tech to translate product roadmaps into technical requirements. This requires the ability to multi-task across various high-priority workstreams without losing sight of architectural integrity.
  • Infrastructure as Code: Drive the adoption of Databricks Asset Bundles (DABs) to standardize deployments across dev, staging, and production.
  • Mentorship & Governance: Provide high-level guidance to engineering squads in India and the US, defining schemas and governance models for BigQuery and Databricks.
  • Work with engineers across multiple geographies and time zones.

Mandatory Requirements

  • Expert-Level Databricks: Minimum 4+ years of hands-on experience specifically within the Databricks ecosystem (Delta Lake, Unity Catalog, Photon).
  • The Stack: Deep proficiency in Spark (PySpark/Scala), Python, and SQL. Experience with GCP (BigQuery) is a major plus.
  • Scale: Proven experience managing petabyte-scale datasets and high-concurrency pipelines (AdTech experience preferred).
  • Independent Execution: Must be a self-starter capable of taking a high-level concept from the SVP and driving it to completion with minimal supervision.
  • Experience: 10+ years in Data Engineering, with at least 3 years in a Principal or Architect capacity.

Preferred Qualifications

  • Incident Management: A history of successfully diagnosing and resolving complex, large-scale production bottlenecks and data outages.
  • Context Switching: A demonstrated ability to multi-task, balancing long-term architectural R&D with immediate business requests and partner integrations.
  • FinOps & Communication: Strong understanding of optimizing Databricks/BigQuery costs and the ability to communicate technical trade-offs to non-technical stakeholders.

Please note that this position is not eligible for visa sponsorship, including employer sponsorship for an H-1B visa, OPT-STEM employment, or related programs.

Why Digital Remedy?

We are in a high-growth phase, integrating innovative tech from recent acquisitions. You will have a seat at the table to influence our long-term technical strategy and help us "build and scale" for the future.


Sinclair is proud to be an equal opportunity employer and a drug free workplace. Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law.

About Sinclair

Sinclair, Inc. (Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports. The Company owns, operates and/or provides services to 178 television stations in 81 markets affiliated with all major broadcast networks; owns Tennis Channel, the premium destination for tennis enthusiasts; multicast networks CHARGE, Comet, ROAR and The Nest. Sinclair's AMP Media produces a growing portfolio of digital content and original podcasts. Additional information about Sinclair can be found atwww.sbgi.net. 

About Digital Remedy

Digital Remedy is a performance media partner for agencies, brands, and media companies. Through proprietary technology, services, and partnerships, Digital Remedy offers outcome-based media solutions for marketers empowering them to exceed beyond standard media goals. Whether brand or outcome focused, marketers can access insights, media planning, activation, measurement, reporting, and optimization capabilities to deliver the highest performance tied to ROI. The effectiveness of Digital Remedy's solutions is supported by a tenured client roster of leading brands, agencies, and media companies. In addition, Digital Remedy is a proud recipient of several major award wins including the Digiday Technology Award and Crain's Best Places to Work several years in a row including a rank of #1 in 2024.


 
About the Team

 
The life-blood of our organization is our people. We have a compelling story, a goal-oriented culture, and we take really good care of people. How good? Here is a glimpse: great benefits, open door policy, upward mobility and a strong desire to see you succeed. Ready to be part of a winning team? Let's talk.
 

The base salary compensation range for this role is $131,250 to $175,000.  Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, certifications, and geographic location. Full time positions are eligible for benefits that include participation in a retirement plan, quarterly and annual incentive plan bonuses, life and disability insurance, health, dental and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and employee stock purchase plan.

Apply