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Manager Databricks Data Engineer Jobs in Austin, TX

Pwc

Data Engineer - Manager

Austin, TX

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

Pwc

GenAI Python Systems Engineer-Manager

Austin, TX

$99K - $232K/yr

... Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with ... Resource Manager, Terraform - Building and deploying DevOps pipelines with cloud services ...

OneOncology

Lead Data Engineer

Austin, TX · Remote

$101K - $133K/yr

The Lead Data Engineer will lead two closely related teams: a Data Operations team responsible for ... Manage and maintain Databricks Workflows and job orchestration, ensuring SLAs are consistently met

McLane Company

Sr Data Engineer

Austin, TX · On-site

$114K - $137K/yr

Proficiency with data warehouses/lakes and big data technologies (e.g., Spark/Databricks, Snowflake ... Strong software engineering fundamentals and tooling (Git, CI/CD, JIRA); comfort in Linux Bash/Z ...

Aspira

Principal Data Engineer

Austin, TX

You will work closely with data scientists, analysts, product managers, and engineering teams to ... such as Databricks, AWS Glue, Kinesis, Redshift, and DynamoDB. * Data tool experience with ...

Q2

Data Engineer

Austin, TX

$113K - $136K/yr

Partner with product managers, data scientists, and engineers to translate fraud and risk ... Exposure to platforms like Databricks, AWS Glue, AWS Sagemaker, Snowpark RESPONSIBILITIES ...

Deloitte

Azure/Databricks Infrastructure Engineer

Austin, TX · On-site

$55.25 - $73.75/hr

This role supports enterprise clients across cloud modernization, data platform transformation ... cluster management Experience implementing Infrastructure as Code (Terraform, Bicep, ARM ...

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Manager Databricks Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

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

As of Jun 11, 2026, the average yearly pay for manager databricks 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.

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

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

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:
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Manager Databricks Data Engineer jobs near you
Resident Solutions Architect - Communications, Media, Entertainment & Games

Resident Solutions Architect - Communications, Media, Entertainment & Games

Databricks

Austin, TX • On-site

$180K - $248K/yr

Full-time

Posted 27 days ago

Job description

CSQ127R318
As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
  • You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • Work with engagement managers to scope variety of professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
  • You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:
  • 6+ years experience in data engineering, data platforms & analytics
  • Comfortable writing code in either Python or Scala
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery - managing scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$180,656-$248,360 USD
Zone 2 Pay Range
$180,656-$248,360 USD
Zone 3 Pay Range
$180,656-$248,360 USD
Zone 4 Pay Range
$180,656-$248,360 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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