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Databricks Software Jobs in Washington (NOW HIRING)

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

Support an Agile software development lifecycle * You will contribute to the growth of our Data ... Databricks, Snowflake * Data streaming systems: Kafka, Storm, Spark-Streaming, etc. * Languages:

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

Support an Agile software development lifecycle * You will contribute to the growth of our Data ... Databricks, Snowflake * Data streaming systems: Kafka, Storm, Spark-Streaming, etc. * Languages:

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

Support an Agile software development lifecycle * You will contribute to the growth of our Data ... Databricks, Snowflake * Data streaming systems: Kafka, Storm, Spark-Streaming, etc. * Languages:

6k Systems

Angular Developer

Washington, DC · On-site

$62 - $76/hr

Demonstrated experience developing with DeltaLake and Databricks software * Demonstrated experience using the Jenkins automated build tool * Demonstrated experience using data pipelines and workflow ...

Deloitte

Databricks Data Engineer

Mclean, VA

$115K - $139K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Databricks Data Engineer

Rosslyn, VA

$130K - $156K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Databricks Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$119K - $143K/yr

... software for retrieving, parsing and processing structured and unstructured data * 1 to 2 years of ... Databricks * Experience with data quality, validation frameworks, and storage optimization ...

Deloitte

Databricks Data Engineering Manager

Arlington, VA · On-site

$131K - $158K/yr

Lead large-scale data and AI programs, serving as the subject matter expert for teams implementing solutions across the entire Databricks platform. * Client Relationship Management: Build and ...

Deloitte

Sr Databricks Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · Remote

$119K - $143K/yr

... software for retrieving, parsing and processing structured and unstructured data * 1 to 2 years of ... Databricks * Experience with data quality, validation frameworks, and storage optimization ...

Comcast

Software Engineer (Data)-4183

Reston, VA · On-site

$119K - $143K/yr

... Databricks; store relational data in MySQL to support API and data processing applications; debug functional and performance issues on software modules running on Snowflake, Databricks, and Spark ...

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Databricks Software information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at top tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Expertise in platforms like Databricks, strong coding skills, and experience in scalable data solutions are often required for such compensation levels.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

Is Databricks a high paying company?

As a company specializing in data analytics and cloud-based platforms, Databricks is known to offer competitive salaries for software roles, often above industry averages, especially for positions requiring skills in Spark, Python, and cloud services. Compensation can vary based on experience, location, and role level, but overall, it is considered a high-paying employer in the tech industry.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Compensation may also include bonuses, stock options, and benefits. Entry-level roles tend to start lower, while senior positions and specialized skills can command higher pay.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What are the key skills and qualifications needed to thrive as a Databricks Software Engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks jobs?

Databricks jobs are automated tasks or workflows scheduled within the Databricks platform to run data processing, analytics, or machine learning tasks. They typically involve configuring job parameters, dependencies, and schedules using the Databricks workspace or APIs to ensure efficient data pipeline execution.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Washington? For Databricks Software jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Washington look for? The top searched job categories for Databricks Software jobs in Washington are:
What cities in Washington are hiring for Databricks Software jobs? Cities in Washington with the most Databricks Software job openings:
Databricks Software jobs near you
Infographic showing various Databricks Software job openings in Washington as of June 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution.

Data Engineer - Databricks

Steampunk

Mclean, VA • On-site

$110K - $160K/yr

Other

Posted 24 days ago

Job description

Overview
We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions
  • Lead and architect data pipelines and ingest patterns to move raw data from data producers to an enterprise data ecosystem, with a focus on performance and reliability
  • Assess and understand the ETL jobs, workflows, BI tools, and reports
  • Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
  • Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
  • Key must have skill sets - Python, SQL, Databricks, AWS Data Services
  • Support an Agile software development lifecycle
  • You will contribute to the growth of our Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the US government.
  • Bachelor's Degree and 6+ years of total experience or equivalent experience and education.
  • 6+ years direct experience in Data Engineering with experience in tools such as:
    • Big data tools: Hadoop, Spark, Kafka, etc.
    • Relational SQL and NoSQL databases, including Postgres and Cassandra.
    • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
    • AWS cloud services: EC2, S3, RDS, Glue, Step Functions, Lamda, EMR, DynamoDB, DocumentDB, Redshift, Aurora, Athena
    • Data Platforms: Databricks, Snowflake
    • Data streaming systems: Kafka, Storm, Spark-Streaming, etc.
    • Languages: Python, R, Scala, Go
  • Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks.
  • Advanced working SQL knowledge and experience working with relational databases
  • Advanced working knowledge and of NoSQL databases
  • Experience with message queuing, stream processing, and highly scalable 'big data' data stores.
  • Experience manipulating, processing, and extracting value from large, disconnected datasets.
  • Experience manipulating structured and unstructured data for analysis.
  • Experience with data modeling tools and processes.
  • Experience aggregating and transforming data from multiple datasets to create data products
  • Experience working in an Agile environment

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $110,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

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