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Trainee Databricks Data Engineer Jobs in Spring, TX

bwp

Lead Analyst Data Engineer

Houston, TX · On-site

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.

bwp

Lead Analyst Data Engineer

Houston, TX

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.

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 ...

CEDENT

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$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

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Trainee Databricks Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do trainee databricks data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for trainee databricks data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are popular job titles related to Trainee Databricks Data Engineer jobs in Spring, TX?

For Trainee Databricks Data Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Trainee Databricks Data Engineer jobs in Spring, TX look for?

The top searched job categories for Trainee Databricks Data Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Trainee Databricks Data Engineer jobs?

Cities near Spring, TX with the most Trainee Databricks Data Engineer job openings:

Trainee Databricks Data Engineer jobs near you

Data Engineering Solutions Lead (Remote, based in Houston or Austin TX)

Houston, TX • On-site, Remote

The Friedkin Group
Executive Offices • 5 - 10K employees
Learn more about The Friedkin Groupexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Key responsibilities

  • Design and implement scalable and reliable data pipelines to ingest, process, and store data using technologies such as Apache Spark, Hadoop, and Kafka.

  • Architect and operationalize data pipelines within a Lakehouse framework following Medallion Architecture best practices, ensuring data quality, lineage, and usability.

  • Lead the Data Management Community of Practice by facilitating knowledge sharing, establishing best practices, and representing the data engineering discipline across TFG.

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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