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Intern Databricks Data Engineer Jobs in Houston, TX

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Location: Houston, TX Contract Length: 12+ Months Pay: 80-90 per hr on W2 Job ref ... Experience with distributed data processing technologies such as Spark or Databricks * Experience ...

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Databricks, Unity Catalog, PySpark, SQL, DBT, Delta Lake, Lakeflow/DLT, Power BI, Azure DevOps, Git, Metadata-Driven Frameworks, Code Generation, Azure DevOps The pay range is the lowest to highest ...

Azure Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX ... Databricks * Airflow

Senior Data Engineer

Houston, TX · On-site

$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 ...

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2) andAzure Databricks;

Lead Data Engineer

Houston, TX · On-site

$97K - $128K/yr

Lead Data Engineer (Full-Time, Direct Hire) Our client, a well-established company in the midstream ... Strong experience working with Databricks for large-scale data processing and analytics.

The Data Engineer or Data Scientist enables data-driven decision-making across the enterprise. This ... Architect and manage modern data pipelines, warehouses, and lakehouses (Snowflake, Databricks ...

Lead Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Databricks * Snowflake * Microsoft Fabric * Azure Data Factory * Delta Lake Databases * SQL Server ... engineering applications is highly desirable.

Senior Data Engineer

Houston, TX · On-site

$95K - $130K/yr

Strong experience with modern data platforms such as Microsoft Fabric, Snowflake, or Databricks is ... engineering * Experience with modern cloud data platforms (Fabric, Snowflake, or Databricks)

Senior Data Engineer

Houston, TX · Hybrid

$101K - $137K/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 ...

Sr. Data Engineer

Houston, TX

$105K - $127K/yr

... Databricks) \n \n \n \-Data extract, load and transformation techniques and tools including orchestration of needed azure resources \n \n \n \-Azure analytics services \n \n \n \-Programming ...

Extensive experience working with Databricks. * Working knowledge of the Alation data governance tool. * Strong skills in SQL (T-SQL), Python (PySpark/Pandas), DAX, Power Query (M), PL/SQL.

Showing results 21-40

Intern Databricks Data Engineer information

See Houston, TX salary details

$12

$24

$36

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

As of Aug 8, 2026, the average hourly pay for intern databricks data engineer in Houston, TX is $24.27, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $27.55 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 Houston, TX? The most popular types of Databricks Data Engineer jobs in Houston, TX are:
What are popular job titles related to Intern Databricks Data Engineer jobs in Houston, TX? For Intern Databricks Data Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Intern Databricks Data Engineer jobs in Houston, TX look for? The top searched job categories for Intern Databricks Data Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Intern Databricks Data Engineer jobs? Cities near Houston, TX with the most Intern Databricks Data Engineer job openings:
Infographic showing various Intern Databricks Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $50,486 per year, or $24.3 per hour.

$109K - $131K/yr

Other

Posted 25 days ago


Job description

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

Beware of scams. S3 never asks for money during its onboarding process.

Job Title: Data Engineer
Location: Houston, TX
Contract Length: 12+ Months
Pay: 80-90 per hr on W2

Job ref# 247245

Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning solutions.

The ideal candidate can work independently, solve complex technical problems, provide technical leadership, mentor engineers, and partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise-scale data solutions.

Required Qualifications


  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience)
  • 10+ years of Data Engineering experience
  • Expert-level Python and SQL development
  • Experience designing and building scalable ETL/ELT data pipelines
  • Strong experience with AWS, Azure, or Google Cloud Platform
  • Experience with distributed data processing technologies such as Spark or Databricks
  • Experience with data modeling, data architecture, and data integration
  • Experience with orchestration tools such as Airflow, Azure Data Factory (ADF), or AWS Glue
  • Experience working with both structured and unstructured data
  • Experience with CI/CD, Git, and DevOps best practices
  • Proven experience designing enterprise-scale data platforms and pipelines
  • Experience building data solutions supporting analytics, AI, or machine learning workloads
  • Strong troubleshooting and root cause analysis skills
  • Demonstrated experience providing technical leadership and mentoring Data Engineers
  • Excellent verbal and written communication skills
  • Ability to work independently, prioritize competing initiatives, and thrive in ambiguous environments

Key Responsibilities


  • Design, develop, and optimize scalable cloud-based data pipelines and platforms
  • Translate complex business requirements into technical solutions
  • Partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise AI data solutions
  • Lead the design and implementation of scalable, secure, and maintainable data architectures
  • Improve existing data infrastructure through automation and engineering best practices
  • Ensure data quality, governance, reliability, and platform performance
  • Troubleshoot production issues and perform root cause analysis
  • Mentor junior and mid-level Data Engineers while providing technical leadership
  • Drive engineering standards, documentation, and code quality