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Intern Databricks Data Engineer Jobs in Austin, TX

Senior Databricks Engineer

Austin, TX · On-site

$103K - $142K/yr

Senior Databricks Engineer Duration: 12 Months (3 Years Ext) Location: Austin, TX 78751. The ... Develop robust data models and implement data quality, validation, and governance frameworks.

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data ... Use databricks/spark to prepare, transform and serve data to customers * Build and optimize real ...

Lead Data Engineer

Austin, TX · On-site

$101K - $133K/yr

Design, architect, and deliver production-grade, scalable data pipelines and AI-ready data platforms using Databricks,AWScloud-native services and modern data engineering frameworks. * Lead end-to ...

Spark/Pyspark Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Technical Stack Very strong SQL Spark / PySpark Databricks Enterprise‑scale data engineering experience Interview Process 4 rounds minimum At least 1-2 panel interviews (1 hour each) Additional ...

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 ... Use databricks/spark to prepare, transform and serve data to customers * Build and optimize real ...

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 ...

Senior Data Engineer

Austin, TX · Hybrid

$105K - $142K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

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 ...

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 ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As a Software Engineer on the Data Infrastructure team, you will design, build, and operate the ... Databricks) * Strong coding skills in Python and SQL; experience with Go or another compiled ...

Showing results 21-40

Intern Databricks Data Engineer information

See Austin, TX salary details

$13

$25

$38

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

As of Aug 10, 2026, the average hourly pay for intern databricks data engineer in Austin, TX is $25.19, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $28.61 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 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 Intern Databricks Data Engineer jobs in Austin, TX? For Intern Databricks Data Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Intern Databricks Data Engineer jobs in Austin, TX look for? The top searched job categories for Intern Databricks Data Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Intern Databricks Data Engineer jobs? Cities near Austin, TX with the most Intern Databricks Data Engineer job openings:
Infographic showing various Intern Databricks Data Engineer job openings in Austin, TX as of June 2026, with employment types broken down into 71% Full Time, 8% Temporary, and 21% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $52,402 per year, or $25.2 per hour.

Senior Databricks Engineer

Hireblazer

Austin, TX • On-site

$103K - $142K/yr

Contractor

Posted 13 days ago


Job description

Title: Senior Databricks Engineer

Duration: 12 Months (3 Years Ext)

Location: Austin, TX 78751. The working position is Hybrid - On Site and Telework

Position will be 3 days remote with 2 days (Mondays and Thursdays) required to be onsite at the location listed above.

Summary:

8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.

Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.

The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. Build and maintain ingestion pipelines, Declarative Pipelines (DLT), and Medallion Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. Develop robust data models and implement data quality, validation, and governance frameworks. Create dynamic dashboards, Databricks Apps, and analytical solutions to deliver actionable business insights. Optimize workloads, monitoring, and operational processes to ensure scalability, security, and cost efficiency.

Required Skills:

8 Years of Required Experience in IT, supporting the design, development, deployment, or delivery of technology solutions.

8 Years of Required Experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.

8 Years of Required Experience in data warehousing and dimensional data modeling (star/snowflake schemas).

8 Years of Required Proficiency in SQL and Python (or Scala) for large-scale data processing.

8 Years of Required Experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).

8 Years of Required Experience implementing data governance, data quality, and data security practices.

8 Years of Required Experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.

8 Years of Required Experience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow).

8 Years of Required Excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.

1 Year of Preferred Experience working in public sector or state government environments.

1 Year of Preferred Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).

1 Year of Preferred Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows).