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Entry Level Databricks Data Engineer Jobs in Washington

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

Kanak Elite Services Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads meetings with internal customers to determine data needs Requirements mapping and ...

Magnus Management Group LLC

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Vision insurance Seeking a Data Engineer responsible for designing, developing, and maintaining ... Experience with Databricks. * Experience with Azure SQL or SQL Server. * Experience implementing ...

3B Staffing LLC

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Any Data Engineer Level 1 and 2 (12 in HQ 1/2 of each level and 20 in Chennai 1/2 of each level ... Databricks . Python These roles are foundational to setting up the data platform and enabling ...

New

3B Staffing LLC

Data Engineer

Washington, DC

$129K - $155K/yr

Any Data Engineer Level 1 and 2 (12 in HQ 1/2 of each level and 20 in Chennai 1/2 of each level ... Databricks . Python These roles are foundational to setting up the data platform and enabling ...

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 ...

Bloomberg Industry Group

Data Engineer

Arlington, VA · On-site

$110K - $130K/yr

As the Commercial Data Engineering team, we are responsible for creating the building blocks that ... Design, develop, and maintain data pipelines using Databricks * Build and optimize ETL/ELT ...

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 ...

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 ...

Phase2 Technology

Data Engineer

Mclean, VA · On-site

$80 - $100/hr

R0229283 Data Engineer The Opportunity Ever-expanding technology like IoT, machine learning, and ... Databricks, SQL Data Warehouse, or Machine Learning service * Experience with infrastructure as ...

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 ...

Dlapiper

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 ...

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Entry Level Databricks Data Engineer information

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?

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?

The most popular types of Databricks Data Engineer jobs in Washington are:

What are popular job titles related to Entry Level Databricks Data Engineer jobs in Washington?

For Entry Level Databricks Data Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Entry Level Databricks Data Engineer jobs in Washington look for?

The top searched job categories for Entry Level Databricks Data Engineer jobs in Washington are:

What cities in Washington are hiring for Entry Level Databricks Data Engineer jobs?

Cities in Washington with the most Entry Level Databricks Data Engineer job openings:

Entry Level Databricks Data Engineer jobs near you
Infographic showing various Entry Level Databricks Data Engineer job openings in Washington as of August 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 70% In-person, and 30% Remote job distribution.

Data Engineer

Accenture Federal Services

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted yesterday

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services

Job description

The work: 

  • Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 
  • Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 
  • Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 
  • Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 
  • Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 
  • Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 
  • Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here's what you need: 

  • 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 
  • Must be a US Citizen

Bonus points if you have: 

  • Secret clearance or above 
  • Experience working with federal clients 

  • Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 

  • Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 

  • Experience with Agile / Scrum

  • Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

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