ZipRecruiter

Log In

1

Trainee Databricks Data Engineer Jobs in Washington

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$140K - $180K/yr

Overview We are looking for a seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$140K - $180K/yr

We are looking for a seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for more than ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$125K - $165K/yr

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for more than ...

Guidehouse

Databricks Engineer

Arlington, VA

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking a Databricks Engineer to join our AI and ...

Guidehouse

Databricks Engineer

Arlington, VA · On-site

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking a Databricks Engineer to join our AI and ...

ICF

Data Engineer (Databricks) - Remote USA

Reston, VA · Remote

$119K - $143K/yr

Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau. * Git, Jira, CI/CD tools (e.g., Jenkins, CodeBuild). * Jira, Confluence, SharePoint. * Mural, Miro, or ...

Karsun Solutions, LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Databricks AI Solutions: Design, build, and maintain scalable data pipelines and workflows using ... AI/Data Engineering: 5+ years of proven experience building large-scale data platforms, with at ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · Remote

$119K - $143K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$119K - $143K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

Contributions We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA

$125K - $165K/yr

Contributions We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels--from junior to senior--to ... Design, build, and maintain scalable data pipelines and data architectures using Databricks and ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join ... Design, build, and maintain scalable data pipelines and data architectures using Databricks and ...

next page

Showing results 1-20

All JobsTrainee Databricks Data Engineer JobsTrainee Databricks Data Engineer Jobs in Washington

Trainee Databricks Data Engineer information

Is it hard to get hired at Databricks?

Getting hired as a Databricks Data Engineer can be competitive, as it requires strong skills in Spark, cloud platforms, and data pipeline development. Candidates often need relevant experience, technical certifications, and a solid understanding of big data tools to improve their chances.

Does Databricks hire new grads?

Databricks often hires new graduates for entry-level roles such as Trainee Data Engineer positions. These roles typically require familiarity with cloud platforms, data processing tools, and programming languages like Python or SQL. Candidates should review specific job postings for qualification details and preferred skills.

How much do Databricks data engineers make?

Databricks data engineers typically earn between $90,000 and $140,000 annually, depending on experience, location, and skill level. Professionals with expertise in Spark, cloud platforms, and data pipeline development tend to command higher salaries.

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.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.
What are the most commonly searched types of Databricks Data Engineer jobs in Washington? The most popular types of Databricks Data Engineer jobs in Washington are:
What are popular job titles related to Trainee Databricks Data Engineer jobs in Washington? For Trainee Databricks Data Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in Washington look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Washington are:
What cities in Washington are hiring for Trainee Databricks Data Engineer jobs? Cities in Washington with the most Trainee Databricks Data Engineer job openings:
Trainee Databricks Data Engineer jobs near you

Data Engineer (Databricks Experience)

Infinitive Inc

Mclean, VA • On-site

$115K - $139K/yr

Full-time

Posted 12 hours ago

Job description

*Candidates must be local to the Washington D.C. metro area. 
About Infinitive:

Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.

Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 8 times most recently in 2025. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”


About the Role:
We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault). As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.
 

Responsibilities:

  1. Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies.

  2. DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure.

  3. Data Modeling: Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models. Ensure data models adhere to best practices for efficiency, scalability, and maintainability.

  4. Performance Optimization: Identify and address performance bottlenecks in data pipelines and queries. Optimize data processing and storage to improve overall system performance.

  5. Data Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency.

  6. Collaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutions.

  7. Documentation and Best Practices: Document data pipelines, infrastructure configurations, and data models. Define and enforce best practices for data engineering and DevOps processes.

  8. Training and Mentorship: Provide guidance and mentorship to junior team members. Conduct training sessions to promote knowledge sharing and skill development within the team.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or related field. Master’s degree preferred.
  • Proven experience as a Data Engineer, preferably in a cloud-based environment.
  • Strong proficiency in Databricks for data processing and analytics.
  • Hands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automation.
  • In-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data Vault.
  • Proficiency in SQL and programming languages such as Python or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.


Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Powered by JazzHR

tSyB06zCqs