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Entry Level Databricks Data Engineer Jobs in Reston, VA

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Position: Data Engineer Location: Arlington, VA(3 day onsite per week) Primary skills are • AWS + Databricks/Pyspark • Clear, concise communication skills • Demonstrated ability to solve ...

(Data Engineer)

Mclean, VA · On-site

$115K - $139K/yr

Position : Sr. Data Engineer Location : McLean, VA Onsite Experience : 12+ months Key ... Work with Spark-based data processing frameworks such as Databricks. * Maintain and improve ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Python and/or R proficiency; experience with Databricks, Oracle OBIEE or OAS, VBA, and/or UiPath ... Cloud data engineering certifications strongly preferred, including AWS Certified Data Engineer ...

New

Data Engineer

Arlington, VA · On-site

$93K - $176K/yr

Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Python and/or R proficiency; experience with Databricks, Oracle OBIEE or OAS, VBA, and/or UiPath ... Cloud data engineering certifications strongly preferred, including AWS Certified Data Engineer ...

Data Engineer

Washington, DC · On-site

$93K - $176K/yr

Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

Data Engineer

Washington, DC

$129K - $155K/yr

Python and/or R proficiency; experience with Databricks, Oracle OBIEE or OAS, VBA, and/or UiPath ... Cloud data engineering certifications strongly preferred, including AWS Certified Data Engineer ...

New

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... Databricks, SQL Data Warehouse, or Machine Learning service • Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA • Experience with ...

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

Data Engineer

Washington, DC · On-site

$160K - $200K/yr

Data Engineer Location: Washington, DC Line of Business: Data Science Job Function: Investor ... Proficient with Databricks/PySpark and dbt for data warehousing and data transformation tasks.

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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:
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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:
Cleared Data Engineer

Cleared Data Engineer

Accenture Federal Services

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted 2 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 441 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve people's lives through technology. The Cleared Data Engineer will design and maintain data pipelines, develop data processing workflows, and collaborate with teams to implement effective data solutions.
Responsibilities:
• Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
• Develop efficient data processing and transformation workflows to support analytics and reporting needs.
• Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.
• Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals.
• Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.
• Contribute to data governance, security, and automation initiatives within the data ecosystem.
• Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.
Qualifications:
Required:
• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)
• Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake)
• Experience with Python, SQL, Spark, and PySpark
• Experience with data platforms like Databricks, Palantir, and Snowflake
• Familiarity with data orchestration and data quality processes
• Active Top Secret or TS/SCI or TS/SCI with polygraph clearance
Preferred:
• Experience working with federal clients
• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
• Experience with Agile / Scrum
• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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