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Entry Level Databricks Data Engineer Jobs in Washington, DC

E Logic

Data Engineer

Washington, DC · Remote

$120K/yr

E-Logic, Inc. seeks a Data Engineer to build, optimize, and maintain high-throughput ETL data ... Manage and optimize data within Databricks Unity Catalog and SQL Server managed instances utilizing ...

New

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large ...

Palnar

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 ...

Futran Tech Solutions Pvt. Ltd.

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 ...

Kanak Elite Services Inc

(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 ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... Spark, Databricks, or Apache Kafka to process and manage large-scale data workflows with ...

Dlapiper

Data Engineer

Washington, DC

$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 ...

DLA Piper

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 ...

Dlapiper

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 ...

Unissant, Inc.

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 ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large ...

Unissant

Data Engineer

Herndon, VA · On-site

$93K - $171K/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 ...

UNISSANT

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 ...

Accenture Federal Services

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 ...

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All JobsDatabricks Data Engineer JobsEntry Level Databricks Data Engineer JobsEntry Level Databricks Data Engineer Jobs in Washington, DC

Entry Level Databricks Data Engineer information

See Washington, DC salary details

$34K

$78.6K

$133.6K

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

As of Jul 15, 2026, the average yearly pay for entry level databricks data engineer in Washington, DC is $78,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $88,900.00 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 Washington, DC? The most popular types of Databricks Data Engineer jobs in Washington, DC are:
What are popular job titles related to Entry Level Databricks Data Engineer jobs in Washington, DC? For Entry Level Databricks Data Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Entry Level Databricks Data Engineer jobs in Washington, DC look for? The top searched job categories for Entry Level Databricks Data Engineer jobs in Washington, DC are:
Entry Level Databricks Data Engineer jobs near you
Infographic showing various Entry Level Databricks Data Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 47% In-person, 27% Hybrid, and 26% Remote job distribution, with an average salary of $78,559 per year, or $37.8 per hour.
Data Engineer

Data Engineer

E Logic

Washington, DC • Remote

$120K/yr

Full-time

Posted yesterday

New

Job description

E-Logic, Inc. seeks a Data Engineer to build, optimize, and maintain high-throughput ETL data pipelines in cloud-native environments supporting the PRAC Analytics Center. You will be responsible for data ingestion, pipeline management, schema transformation, and supporting enterprise data management (EDM) standards.


Key Responsibilities

  • Design, build, and maintain scalable ETL pipelines across diverse public and non-public data sources.
  • Ingest and transform data from flat files, JSON, XML, Excel, APIs, and graph databases using SQL and Python.
  • Manage and optimize data within Databricks Unity Catalog and SQL Server managed instances utilizing Lakehouse architecture and streaming/batch frameworks.
  • Execute standard quality control processes to ensure data quality, data lineage, reliability, and system performance.
  • Operate and maintain existing data pipelines, catalogs, schemas, and transformation logic without service disruption.

Qualifications & Requirements

  • Minimum 3 years of professional experience in data engineering or a related field.
  • Experience loading, managing, and optimizing data in platforms such as Azure Databricks Unity Catalog and Microsoft SQL Server.
  • Strong SQL and Python skills; expertise with varied data formats (JSON, XML, APIs, graph DBs).
  • Familiarity with Enterprise Data Management (EDM), data governance, and data quality standards. Support for fraud detection/financial oversight environments preferred.


Important Notice:


This role is part of a proposal for Pandemic Response Accountability Committee (PRAC). Hiring is contingent upon the selection of the consultant. Selected candidates will be included in the proposal and must authorize the use of their resume for submission.