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Intern Databricks Data Engineer Jobs in Georgetown, TX

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Design, build, and maintain scalable data pipelines using Databricks and Azure cloud services ... Collaborate with platform and DevOps teams on CI/CD pipelines, environment management, and data ...

Senior Data Engineer

Austin, TX · Remote

$69K - $99K/yr

Design, develop, and maintain reliable ETL/ELT workflows using Databricks, Spark, and Python. * Enable Data Access & Analytics: Partner with analytics, product, and engineering teams to ensure timely ...

Data Engineer - Austin, TX (HYBRID)

Austin, TX · Hybrid

$113K - $136K/yr

CTH (Contract to Hire) Databricks, Pyspark, AWS / Power BI or Tableau / Advance SQL / SQL Server or Mongo DB or any other DB. Overall, 8 to 9 years and must be a Data Engineer Candidates should have ...

Sr Data Engineer

Austin, TX

$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 ...

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

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... Databricks, Azure Machine Learning or equivalent tools & technologies Experience with Kafka and/or other event streaming mechanisms Experience with monitoring/alerting techniques and APM tools ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Senior Data Engineer, Agentic AI

Austin, TX · On-site

$121K - $160K/yr

About the Role Data engineering for Agentic AI requires a fundamental shift in mindset: your ... Leveraging Snowflake, Databricks, and Microsoft Fabric, you will go beyond standard ingestion and ...

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Intern Databricks Data Engineer information

See Georgetown, TX salary details

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How much do intern databricks data engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for intern databricks data engineer in Georgetown, TX is $23.62, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $26.78 per hour, depending on experience, location, and employer.

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

What job categories do people searching Intern Databricks Data Engineer jobs in Georgetown, TX look for? The top searched job categories for Intern Databricks Data Engineer jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Intern Databricks Data Engineer jobs? Cities near Georgetown, TX with the most Intern Databricks Data Engineer job openings:
Resident Solutions Architect - Healthcare & Life Sciences

Resident Solutions Architect - Healthcare & Life Sciences

Databricks

Austin, TX • On-site

$180K - $248K/yr

Full-time

Posted 6 days ago


Job description

CSQ127R310
Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.
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.