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Intern Databricks Data Engineer Jobs in Georgetown, TX

1 point system

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/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 ...

Overhaul Group Inc

Sr. Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Since data engineers are responsible for their pipelines at Over-haul, this role requires engineers ... Design and maintain streaming data pipelines using Databricks, and Spark * Create ML Pipelines to ...

Overhaul Group Inc

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Since data engineers are responsible for their pipelines at Over-haul, this role requires engineers ... Design and maintain streaming data pipelines using Databricks, and Spark * Create ML Pipelines to ...

YETI Coolers LLC

Sr. Data Engineer

Austin, TX

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI ... Databricks * Lead development of analytical data models * Integrate SAP data sources including SAP ...

YETI Coolers LLC

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI ... Databricks * Lead development of analytical data models * Integrate SAP data sources including SAP ...

Arrive Logistics

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.

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.

General Motors

Data Engineering Manager

Austin, TX · On-site

$113K - $136K/yr

About the Role The Data Engineering Manager will lead a team of data engineers focused on building ... If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building ...

General Motors

Data Engineering Manager

Austin, TX

$113K - $136K/yr

About the Role The Data Engineering Manager will lead a team of data engineers focused on building ... If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building ...

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Showing results 41-60

All JobsIntern Databricks Data Engineer JobsIntern Databricks Data Engineer Jobs in Georgetown, TX

Intern Databricks Data Engineer information

See Georgetown, TX salary details

$12

$23

$35

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

As of Aug 17, 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.

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Senior Data Engineer

1 point system

Austin, TX • On-site

$105K - $142K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

Interview Process

4 rounds minimum

At least 1–2 panel interviews (1 hour each)

Additional round may be added only for exceptional candidates (complimentary, not punitive)

If you love turning complex, high-volume data into trusted, reusable products—this role is for you. We’re looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable architectures, and analytics-ready datasets that accelerate engineers, analysts, and data scientists. You’ll lead with strong engineering fundamentals, partner across teams, and help set the standards for how data is built and used.

What You’ll Do

  • Design, develop, optimize, and maintain data architecture + ELT pipelines aligned to business outcomes
  • Architect and implement end-to-end data solutions (warehouses/lakes, pipelines, models, products)
  • Solve complex data challenges to deliver insights and enable decision-making at scale
  • Build data products that boost productivity for engineers, analysts, and data scientists
  • Engineer high-quality features for modeling in close collaboration with data scientists and business partners
  • Lead evaluation and deployment of emerging analytics engineering tools/processes
  • Define and drive best practices, standards, and operational excellence (quality, stability, reuse, scale)
  • Mentor junior engineers; lead design discussions and cross-functional collaboration
  • Partner with ML engineers, BI, and solutions architects on strategic enterprise initiatives
  • Communicate and enable teams through education plans on standards, capabilities, and processes

What We’re Looking For

  • Deep understanding of distributed computing, scalability, and data architecture
  • Strong critical thinking and ability to tackle big data challenges end-to-end
  • Proficiency with data warehouses/lakes and big data technologies (e.g., Spark/Databricks, Snowflake/Redshift, distributed databases)
  • Expertise in ELT + SQL and data analysis (advanced SQL required)
  • Modern pipeline practices and tooling (e.g., dbt, Airflow, Spark, Python and OSS data ecosystem)
  • Strong software engineering fundamentals and tooling (Git, CI/CD, JIRA); comfort in Linux + Bash/Z shell
  • Cloud experience building data/analytics solutions (GCP; Azure also valued)
  • Familiarity with BI tools (e.g., Power BI, Tableau, Looker, Alteryx)
  • Knowledge of dimensional modeling, governance concepts, and structured/unstructured data

Education & Experience Needed

  • Bachelor’s degree in Computer Science, Statistics, Engineering, or related field
  • 7or more years of total experience in data engineering or analytics engineering

Why Join Us

  • Own high-impact, enterprise-scale data solutions that enable analytics and ML
  • Work with modern tools and patterns—design for scale, stability, and reuse
  • Collaborate with cross-functional leaders and help shape the data engineering roadmap
  • Opportunity to mentor, influence standards, and elevate the data culture

Benefits you can count on: 

  • Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance 
  • Paid time off begins day one.
  • 401(k) Profit Sharing Plan after 90 days.
  • Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!