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Trainee Databricks Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

As a Databricks Lead, you will be a critical member of our data engineering team, responsible for designing, developing, and optimizing our data pipelines and platforms on Databricks, primarily ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to implement ... engineering discipline, or equivalent · 9-12 years of experience managing SQL Queries, Data Lake ...

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions CI/CD: GitHub, Jenkins, Azure DevOps, Terraform BI Analytics Tool Stack - Cognos ...

Data Engineer

Houston, TX · On-site

$60/hr

Databricks Certified Data Engineer Professional Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. * Build and optimize data ...

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA ... Utilize Databricks with Spark and Python/Scala for data transformation and analytics * Manage ...

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct ... Design data solutions on Databricks including Delta Lake, Data Warehouse, Data Mart and others to ...

Sr. Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Video and in-person Technical Lead with 12+ yrs of experience as well as expertise in data engineering and analytics in • In-depth knowledge of Apache Spark, Pyspark and Databricks architecture ...

Azure Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Databricks Certification Minimum Requirements: Bachelor's degree in Computer Science, Engineering ... or data engineering solutions. 5+ years of data analytics experience using SQL and working with ...

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Trainee Databricks Data Engineer information

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 the most commonly searched types of Databricks Data Engineer jobs in Texas? The most popular types of Databricks Data Engineer jobs in Texas are:
What are popular job titles related to Trainee Databricks Data Engineer jobs in Texas? For Trainee Databricks Data Engineer jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Trainee Databricks Data Engineer jobs? Cities in Texas with the most Trainee Databricks Data Engineer job openings:
Lead Data Engineer - Databricks

Lead Data Engineer - Databricks

Nava Software Solutions

Houston, TX • On-site

$97K - $128K/yr

Other

Posted yesterday


Job description

NAVA Software is looking for a Lead Data Engineer

Details:

Lead Data Engineer

Location: Houston TX Monday to Thursday onsite

Duration: 6-12 months

Position Overview

The Lead Data Engineer is responsible for defining, implementing, and overseeing enterprise-wide data architecture strategies that align with business objectives. This role requires deep expertise in cloud platforms (especially AWS), advanced data modeling, and the ability to lead modernization initiatives across the organization.

Key Responsibilities

  • Develop and execute long-term data architecture vision in alignment with business goals.
  • Design and implement scalable data systems, including Data Lakes, Lakehouse, and Data Mesh architecture.
  • Lead cloud migration strategies and data modernization projects.
  • Collaborate with business and technology stakeholders to ensure architectural alignment.
  • Architect and optimize batch and streaming data pipelines using appropriate tools such as AWS Glue.
  • Implement data governance, metadata management, lineage tracking, and compliance frameworks.
  • Integrate data platforms to support AI/ML workflows (SageMaker, Bedrock, Databricks).
  • Provide technical leadership, mentorship, and oversight for data analysts and engineers.
  • Conduct technical assessments and facilitate stakeholder workshops.
  • Ensure best practices in version control, automation, and documentation.

Required Skills & Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 7 10 years of implementation experience in cloud data architecture, with at least 5 years in AWS environments.
  • Proficiency in AWS services: Glue, Redshift, Athena, Lake Formation, SageMaker, Bedrock, Step Functions.
  • 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.
  • Experience with databases: SQL Server, Oracle, PostgreSQL, Azure SQL, Teradata.
  • Skilled in Power BI, Git, Visual Studio Code, SSMS.
  • Knowledge of architectural patterns: Medallion architecture, data mesh, Lakehouse, SOA data layers.
  • AWS and Databricks certifications are preferred.
  • Excellent communication, collaboration, and leadership abilities.

Preferred Experience

  • Leading cloud migration and data modernization initiatives.
  • Designing and implementing scalable data architectures in AWS and Databricks.
  • Managing data governance, security, and compliance in complex environments.
  • Mentoring junior architects and engineers.
  • Working with cross-functional teams to deliver business value through data.

Additional Information

  • This role may require occasional travel for stakeholder workshops or technical assessments.
  • The Senior Data Engineer will play a key role in shaping the organization's data strategy and future readiness for AI/ML initiatives.

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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