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Databricks Software Jobs in Washington, DC (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

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

Support an Agile software development lifecycle * You will contribute to the growth of our AI ... Big data tools: Databricks, Apache Spark, Delta Lake, etc. * Relational SQL (Preferably T-SQL.

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

Our Digital Modernization and Experience (DMX) Group is growing, and we are looking for a motivated, experienced Senior Databricks SME who is passionate about turning complex data into actionable ...

Steampunk

Data Engineer - Databricks

Mclean, VA

$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:

ICF International, Inc.

Data Engineer (Databricks)

Reston, VA · On-site

$119K - $143K/yr

Our Digital Modernization and Experience (DMX) Group is growing, and we are looking for a motivated, experienced Senior Databricks SME who is passionate about turning complex data into actionable ...

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 ...

Databricks

Sr. Counsel, Product

Washington, DC

$143K - $189K/yr

GAQ427R191 Databricks is seeking a Senior Product Counsel to help the Databricks legal team provide ... Deep understanding of cloud and software technology, and a strong desire to work on legal issues in ...

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 ...

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 ...

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Databricks Software information

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$54.4K

$126.7K

$188K

How much do databricks software jobs pay per year?

As of Jul 14, 2026, the average yearly pay for databricks software in Washington, DC is $126,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $147,200.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

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.

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. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

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 that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

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, DC? For Databricks Software jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Washington, DC look for? The top searched job categories for Databricks Software jobs in Washington, DC are:
Databricks Software jobs near you
Data Engineer - Databricks

Data Engineer - Databricks

Steampunk

Mclean, VA • On-site

$110K - $160K/yr

Other

Posted 17 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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