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Entry Level Databricks Data Engineer Jobs in Reston, VA

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer. * Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS, Pinecone, or ...

New

Nyla Technology Solutions

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Perform data engineering tasks within Databricks environments * Contribute to and operate within GitHub-based workflows and version control practices * Deliver solutions in a client-facing ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... SageMaker, Databricks, SQL Data Warehouse, or machine learning service * Experience with ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... SageMaker, Databricks, SQL Data Warehouse, or machine learning service * Experience with ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... SageMaker, Databricks, SQL Data Warehouse, or machine learning service * Experience with ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service * Experience with ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

R0237363 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service * Experience with ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service * Experience with ...

Booz Allen Hamilton

Data Engineer

Arlington, VA

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... SageMaker, Databricks, SQL Data Warehouse, or machine learning service * Experience with ...

Deloitte

Databricks Engineer

Rosslyn, VA · On-site

Monitor data workflows, troubleshoot issues, and implement fixes to improve reliability and ... As a databricks engineer, you will help design, build, and support data management solutions that ...

Deloitte

Databricks Engineer

Rosslyn, VA · On-site

Monitor data workflows, troubleshoot issues, and implement fixes to improve reliability and ... As a databricks engineer, you will help design, build, and support data management solutions that ...

Deloitte

Databricks Engineer

Mclean, VA

Monitor data workflows, troubleshoot issues, and implement fixes to improve reliability and ... As a databricks engineer, you will help design, build, and support data management solutions that ...

Deloitte

Databricks Engineer

Mclean, VA · On-site

Monitor data workflows, troubleshoot issues, and implement fixes to improve reliability and ... As a databricks engineer, you will help design, build, and support data management solutions that ...

Pwc

Data Engineer - Senior Associate

Washington, DC · On-site

$77K - $202K/yr

... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Booz Allen Hamilton

Data Engineer

Washington, DC

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with distributed data and computing tools, such as Spark, Databricks, Hadoop, Hive, AWS ...

Booz Allen Hamilton

Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with distributed data and computing tools, such as Spark, Databricks, Hadoop, Hive, AWS ...

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All JobsDatabricks Data Engineer JobsEntry Level Databricks Data Engineer JobsEntry Level Databricks Data Engineer Jobs in Reston, VA

Entry Level Databricks Data Engineer information

See Reston, VA salary details

$31.2K

$72.2K

$122.8K

How much do entry level databricks data engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for entry level databricks data engineer in Reston, VA is $72,161.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,600.00 and $81,700.00 per year, depending on experience, location, and employer.

What is an Entry Level Databricks Data Engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an Entry Level Databricks Data Engineer, and why are they important?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry-level Databricks Data Engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.
What are the most commonly searched types of Databricks Data Engineer jobs in Reston, VA? The most popular types of Databricks Data Engineer jobs in Reston, VA are:
What are popular job titles related to Entry Level Databricks Data Engineer jobs in Reston, VA? For Entry Level Databricks Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Databricks Data Engineer jobs in Reston, VA look for? The top searched job categories for Entry Level Databricks Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Entry Level Databricks Data Engineer jobs? Cities near Reston, VA with the most Entry Level Databricks Data Engineer job openings:
Entry Level Databricks Data Engineer jobs near you
GenAI Data Automation Engineer

GenAI Data Automation Engineer

System One

Washington, DC • Remote

$48.95/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago

New

Job description

Job Title: GenAI Data Automation Engineer Location: Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public Trust Responsibilities

  • Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB, and Step Functions.
  • Develop ETL/ELT processes to move data between DynamoDB, SQL Server (AWS), and Azure SQL systems.
  • Integrate AWS Connect CRM data into the enterprise data pipeline for analytics and operational reporting.
  • Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch processing into Apache Solr, AWS Open Search platforms.
  • Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to create automated processes for vector generation and embeddings, automate data quality checks, metadata tagging, and lineage tracking, and enhance ingestion/ETL with LLM-assisted transformation and anomaly detection.
  • Build conversational BI interfaces that allow natural language access to Solr and SQL data.
  • Develop AI-powered copilots for pipeline monitoring and automated troubleshooting.
  • Implement SQL Server stored procedures, indexing, query optimization, profiling, and execution plan tuning to maximize performance.
  • Apply CI/CD best practices using GitHub, Jenkins, or Azure DevOps for data pipelines and GenAI model integration.
  • Ensure security and compliance through IAM, KMS encryption, VPC isolation, RBAC, and firewalls.
  • Support Agile DevOps processes with sprint-based delivery of pipeline and AI-enabled features.
Requirements:
  • BS in Computer Science or related field with 2+ years of data engineering, automation experiences.
  • Hands-on experience with SQL, SSIS, Python, Spark, Bash, PowerShell, AWS/Azure CLIs.
  • Experience with AWS services like S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB.
  • Familiarity with Apache Flume, Kafka, Solr for large-scale data ingestion and search.
  • Familiarity with LLM, Gen AI frameworks using AWS Bedrock, Azure OpenAI or open source platforms and tools.
  • Experience with integrating REST API calls in workflows.
  • Familiarity with JIRA, GitHub / Azure DevOps / Jenkins for SDLC and CI/CD automation.
  • Strong troubleshooting and performance optimization skills in SQL, Spark or other data solutions.
  • Experience operationalizing Generative AI (GenAI Ops) pipelines, including model deployment, monitoring, retraining, and lifecycle management for LLMs and AI-enabled data workflows.
  • Good communication and presentation skills.
  • Ability to obtain Federal government Public Trust clearance.
Preferred (plus)
  • Certifications: AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer.
  • Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS, Pinecone, or Pgvector/SQL server vector types.
  • Experience with GenAI powered coding tools such as Claude Code, OpenAI Codex, VS Code.
  • Experience with multi-cloud data integration (AWS – Azure SQL).
  • Familiarity with Microsoft BizTalk and SSIS for SQL Server ETL workflows.
  • Knowledge of data lineage/governance tools (Purview, Unity Catalog, AWS Glue Catalog).
  • Familiarity with Infrastructure-as-Code (Terraform/CloudFormation, Bicep) for deployments.
  • Experience with compliance frameworks (FedRAMP, PCI-DSS, HIPAA).

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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