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Remote Databricks Data Engineer Jobs in Chesapeake, VA

Booz Allen Hamilton, Inc.

AI/ML Engineer

Norfolk, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243798 Location: Norfolk,VA,US Share job via: Share AI/ML Engineer ... Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ...

BOOZ, ALLEN & HAMILTON, INC.

AI/ML Engineer

Suffolk, VA · On-site +1

$77K - $176K/yr

Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

BOOZ, ALLEN & HAMILTON, INC.

AI/ML Engineer

Chesapeake, VA · On-site +1

$77K - $176K/yr

Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

BOOZ, ALLEN & HAMILTON, INC.

AI/ML Engineer

Norfolk, VA · On-site +1

$77K - $176K/yr

Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

BOOZ, ALLEN & HAMILTON, INC.

AI/ML Engineer

Norfolk, VA · On-site +1

$77K - $176K/yr

Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

BOOZ, ALLEN & HAMILTON, INC.

AI/ML Engineer

Chesapeake, VA · On-site +1

$77K - $176K/yr

Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

BOOZ, ALLEN & HAMILTON, INC.

AI/ML Engineer

Chesapeake, VA · On-site +1

$77K - $176K/yr

Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

BOOZ, ALLEN & HAMILTON, INC.

AI/ML Engineer

Hampton, VA · On-site +1

$77K - $176K/yr

Experience with big data technologies, such as Spark, Hadoop, or Databricks * Experience with a ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in Chesapeake, VA

Remote Databricks Data Engineer information

See Chesapeake, VA salary details

$43.2K

$126K

$172.4K

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

As of Jul 29, 2026, the average yearly pay for remote databricks data engineer in Chesapeake, VA is $125,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
What are the most commonly searched types of Databricks Data Engineer jobs in Chesapeake, VA? The most popular types of Databricks Data Engineer jobs in Chesapeake, VA are:
What are popular job titles related to Remote Databricks Data Engineer jobs in Chesapeake, VA? For Remote Databricks Data Engineer jobs in Chesapeake, VA, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in Chesapeake, VA look for? The top searched job categories for Remote Databricks Data Engineer jobs in Chesapeake, VA are:
What cities near Chesapeake, VA are hiring for Remote Databricks Data Engineer jobs? Cities near Chesapeake, VA with the most Remote Databricks Data Engineer job openings:
Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in Chesapeake, VA as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 14% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $125,979 per year, or $60.6 per hour.

Python Data Scientist / Data Engineer

HRC Global Services

Virginia Beach, VA • Remote

Full-time

Posted 10 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.