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Intern Databricks Data Engineer Jobs in Houston, TX

empyrean

Cloud Data Engineer

Houston, TX · Remote

$109K - $131K/yr

Architect and maintain data warehouses using Amazon Redshift (or Snowflake/Databricks on AWS ... Strong programming skills (e.g., Python, C#, or similar) for ETL development and automation

AMSYS Talent

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)

Deloitte

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 ...

Empyrean

Cloud Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Architect and maintain data warehouses using Amazon Redshift (or Snowflake/Databricks on AWS ... Strong programming skills (e.g., Python, C#, or similar) for ETL development and automation

mBridge Solutions

Sr. Data Engineer

Houston, TX · On-site

$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 ...

Pwc

Data Engineer - Manager

Houston, 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 ...

ACCLiiVE

Platform Engineer (Databricks)

Houston, TX

Houston Required Skills & Experience 5+ years in data engineering or platform engineering, with at least 2 3 years in Databricks administration. Expert knowledge of Unity Catalog, cluster policies ...

Pwc

GenAI Python Systems Engineer-Manager

Houston, TX · On-site

$99K - $232K/yr

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 ...

CEDENT

Azure Data Engineer (Houston, TX)

Houston, TX

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX ... Advanced SQL Snowflake Tamr Python GitHub Intermediate Databricks Airflow

NextEra Energy

Sr Data Engineer

Houston, TX

$109K - $131K/yr

You will work hands-on with modern data technologies such as Amazon Redshift, Databricks, and cloud ... You will apply strong software engineering principles to optimize data ingestion, transformation ...

NextEra Energy

Sr Data Engineer

Houston, TX · On-site

$109K - $131K/yr

You will work hands-on with modern data technologies such as Amazon Redshift, Databricks, and cloud ... You will apply strong software engineering principles to optimize data ingestion, transformation ...

Shell

Sr. AI & Data Engineer-Trading Analytics

Houston, TX

$109K - $131K/yr

Handson experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable) * Proven data engineering skills, including pipeline development, data modelling, and performance ...

INSPYR Solutions

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

Data & AI Engineer SQL Server • Azure Databricks • Data Integration • Vector Databases Key responsibilities * Design, build, and maintain data ingestion pipelines from SQL Server into Azure ...

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

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 Jun 15, 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:
Intern Databricks Data Engineer jobs near you
Infographic showing various Intern Databricks Data Engineer job openings in Houston, TX as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $50,486 per year, or $24.3 per hour.
Data Engineering Solutions Lead

Data Engineering Solutions Lead

The Friedkin Group

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship now or in the future. This position is not eligible for employment visa sponsorship, and the company will not assume sponsorship obligations for existing visa holders.
Living Our Values
All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live.
Why Join Us
  • Career Growth: Advance your career with opportunities for leadership and personal development.
  • Culture of Excellence: Be part of a supportive team that values your input and encourages innovation.
  • Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs.

Total Rewards
Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page.
A Day In The Life
As a Data Engineering Solutions Lead within the Trailblazer initiative, you will play a crucial role in architecting, implementing, and managing robust, scalable data infrastructure. This position demands a blend of systems engineering, data integration, and data analytics skills to enhance TFG's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs. The ideal candidate brings deep expertise in Lakehouse design principles, including layered Medallion Architecture patterns (Bronze, Silver, Gold), to drive scalable and governed data solutions. This is also a highly visible leadership role that will represent the data engineering function and lead the Data Management Community of Practice across TFG.
As a Data Engineering Solutions Lead, you will:
  • Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka.
  • Work within cloud environments like AWS or Azure to leverage services including but not limited to EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing.
  • Architect and operationalize data pipelines following Medallion Architecture best practices within a Lakehouse framework-ensuring data quality, lineage, and usability across Bronze, Silver, and Gold layers.
  • Develop and optimize data models and storage solutions (Databricks, Data Lakehouses) to support operational and analytical applications, ensuring data quality and accessibility.
  • Utilize ETL tools and frameworks (e.g., Apache Airflow, Fivetran) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
  • Lead the Data Management Community of Practice, serving as the primary facilitator, coordinator, and spokesperson. Drive knowledge sharing, establish best practices, and represent the data engineering discipline across TFG to both technical and business audiences.
  • Collaborate closely with data scientists, providing the data infrastructure and tools needed for complex analytical models, leveraging Python or R for data processing scripts.
  • Ensure compliance with data governance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment.
  • Monitor and troubleshoot data pipelines and databases for performance issues, applying tuning techniques to optimize data access and throughput.
  • Stay abreast of emerging technologies and methodologies in data engineering, advocating for and implementing improvements to the data ecosystem.

What We Need From You
  • Bachelor's Degree in Computer Science, MIS, or other business discipline and 10+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req or
  • Master's Degree computer science, MIS, or other business discipline and 5+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req
  • Demonstrated experience designing and implementing Medallion Architecture in a Databricks Lakehouse environment, including layer transitions, data quality enforcement, and optimization strategies. Required
  • Expertise in developing ETL/ELT workflows Required
  • Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native data offerings Required
  • Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage Required
  • Strong experience in AWS cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks Required
  • Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala) Required
  • Hands on RDBMS experience (data modeling, analysis, programming, stored procedures) Required
  • Familiarity with machine learning model deployment and management practices is a plus Required
  • Strong executive presence and communication skills, with a proven ability to lead communities of practice, deliver presentations to senior leadership, and build alignment across technical and business stakeholders. Required
  • AWS Certified Solution Architect Preferred
  • Databricks Certified Associate Developer for Apache Spark Preferred
  • DAMA CDMP or other relevant certifications Preferred

Physical and Environmental RequirementsThe physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.
Travel Requirements
20% The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business.
Join Us
The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at TalentAcquisition@friedkin.com. We celebrate diversity and are committed to creating an inclusive environment for all associates.
We are seeking candidates legally authorized to work in the United States, without Sponsorship.
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