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Trainee Databricks Data Engineer Jobs in Virginia Beach, VA

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Develop and maintain data pipelines using PySpark and Databricks * Work within a metadata-driven ... Data Engineer, Azure, ACP, Azure Cloud Platform, Fivetran, metadata, PySpark, Databricks Benefits:

Data/Software Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Develop and maintain pipelines in a Databricks environment. * Analyze code to find causes of errors ... Data Scientists to productionize models and other Software Developers to integrate features.

Data/Software Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Develop and maintain pipelines in a Databricks environment. * Analyze code to find causes of errors ... Data Scientists to productionize models and other Software Developers to integrate features.

Data/Software Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Develop and maintain pipelines in a Databricks environment. * Analyze code to find causes of errors ... Data Scientists to productionize models and other Software Developers to integrate features.

Python, R, SQL programming * Data visualization (Qlik, Tableau, Power BI, etc.) * Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.) What We Offer: Guidehouse offers a ...

Data analysis and interpretation * ​Python, R, SQL programming * Data visualization (Qlik, Tableau, Power BI, etc.) * Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc ...

Python, R, SQL programming * Data visualization (Qlik, Tableau, Power BI, etc.) * Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.) What We Offer: Guidehouse offers a ...

Hands-on experience with Databricks, Apache Spark, Snowflake, Redshift, BigQuery, AWS, Azure, or GCP data engineering services. * Direct experience utilizing the War Data Platform (ADVANA), Maven ...

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Trainee Databricks Data Engineer information

See Virginia Beach, VA salary details

$42.2K

$123.1K

$168.5K

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

As of Aug 9, 2026, the average yearly pay for trainee databricks data engineer in Virginia Beach, VA is $123,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $130,500.00 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 the most commonly searched types of Databricks Data Engineer jobs in Virginia Beach, VA? The most popular types of Databricks Data Engineer jobs in Virginia Beach, VA are:
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Python Data Scientist / Data Engineer

HRC Global Services

Virginia Beach, VA • Remote

Full-time

Re-posted 22 days ago


Job description

Python Data Scientist / Data Engineer

Python Data Scientist / Data Engineer (PySpark, ETL, Notebooks, Databricks) Summary We're hiring a versatile Python Data Scientist / Data Engineer to design, implement, and productionize scalable data pipelines and analytics workflows.

The role requires deep PySpark experience, strong ETL design, experience with interactive notebooks, and familiarity with Databricks or similar managed Spark platforms.

Key responsibilities

* Design and build robust ETL/ELT pipelines using PySpark for batch and near-real-time workflows.

* Develop, optimize, and schedule Spark jobs on Databricks (or equivalent Spark environment).

* Work with data scientists and product teams to transform business requirements into data models, features, and dashboards.

* Implement data validation, monitoring, and lineage to ensure data quality and reliability.

* Create reproducible notebooks for exploration, prototyping, and handoff to production pipelines.

* Tune performance of Spark jobs (memory, partitioning, shuffle reduction) and optimize cluster usage.

* Collaborate on building CI/CD for data workflows, including tests for data transformations and schema changes.

* Document architecture, ETL processes, and best practices.

Required qualifications

* 3+ years experience in data engineering, data science, or analytics engineering roles.

* Strong Python programming and hands-n PySpark experience developing data transformations at scale.

* Experience with Databricks (jobs, clusters, Delta Lake) or equivalent managed Spark platforms.

* Solid understanding of ETL/ELT patterns, data modeling, and data warehousing concepts.

* Comfortable using Jupyter or Databricks notebooks for exploration and prototyping.

* Experience with SQL and working knowledge of cloud data storage systems (S3, ADLS) and databases.

* Familiarity with orchestration tools (Airflow, Prefect, Dagster) and awareness of CI/CD for data pipelines.