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Entry Level Databricks Data Engineer Jobs in Reston, VA

As a Data Engineer on the Databricks platform at Booz Allen, you'll support mission-critical data initiatives for defense, intelligence, and civil clients. You'll help design, build, and maintain ...

Mid Databricks Engineer

Mclean, VA · On-site

$62K - $141K/yr

As a Data Engineer on the Databricks platform at Booz Allen, you'll support mission-critical data initiatives for defense, intelligence, and civil clients. You'll help design, build, and maintain ...

Sr. Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Jenkins, Snowflake, Databricks, AWS, Lead software engineer/data engineer with experience in popular data tools such as Databricks and Snowflake. Have the ability to read and understand code in Scala ...

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

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

Reston, VA

$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

Arlington, VA

$131K - $158K/yr

Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics. * Work with BI developers and business SMEs to translate business ...

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

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

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 ...

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 Jun 18, 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:
Databricks Specialist

Databricks Specialist

eTelligent Group LLC

Washington, DC • Remote

Other

Posted 3 hours ago


Job description

Security Clearance: IRS MBI clearance (MUST already be in place)

Position Summary:

The IRS is modernizing its data platform to support analytics, reporting, and predictive modelling. We are seeking a skilled Databricks Specialist / Data Engineer to design, implement, and optimize big data pipelines and analytics solutions. The ideal candidate will have hands-on experience with Databricks, Apache Spark, and cloud-based data platforms, and a strong understanding of data governance, security, and compliance standards relevant to federal environments.

Key Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark.
  • Work with large datasets from multiple sources, including structured and unstructured data, to support analytics and reporting.
  • Collaborate with IRS teams to implement data lakehouse solutions and optimize data storage and retrieval.
  • Develop and maintain Delta Lake tables and pipelines to ensure data reliability and ACID compliance.
  • Implement data transformations, cleansing, and enrichment processes for downstream analytics and reporting.
  • Work with Python, SQL, and other scripting languages to build and automate workflows.
  • Ensure compliance with IRS security standards, NIST 800-53, and IRS 1075 for handling sensitive taxpayer data.
  • Collaborate with data scientists, analysts, and other stakeholders to deliver actionable insights.
  • Participate in performance tuning, troubleshooting, and optimization of Databricks clusters and workloads.

Required Qualifications:

  • Hands-on experience with Databricks and Apache Spark in production environments.
  • Strong data engineering skills: ETL/ELT pipelines, data modeling, and analytics.
  • Proficient in Python, SQL, or Scala for data processing.
  • Experience with cloud platforms such as AWS, Azure, or GCP, including cloud storage, compute, and security controls.
  • Knowledge of Delta Lake, data lake architecture, and big data best practices.
  • Experience working in federal or highly regulated environments preferred.

Desired Skills / Nice to Have:

  • Familiarity with data governance, metadata management, and lineage tracking.
  • Experience integrating Databricks with BI tools like Power BI or Tableau.
  • Knowledge of machine learning workflows in Databricks.
  • Understanding of IRS modernization initiatives and taxpayer data sensitivity.

Education / Certifications:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
  • Relevant certifications are a plus: Databricks Certified Data Engineer | AWS / Azure / GCP Cloud Certifications | Certified Analytics Professional (CAP)

Location: Remote