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Databricks Software Jobs in Washington, DC (NOW HIRING)

Databricks

Sr. Forward Deployed Engineer

Washington, DC · On-site +1

$182K - $250K/yr

... Databricks product roadmap. What we look for: * 6+ years experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$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.

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$140K - $180K/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.

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$140K - $180K/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.

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site

$120K - $150K/yr

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

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All JobsDatabricks Software JobsDatabricks Software Jobs in Washington, DC

Databricks Software information

See Washington, DC salary details

$54.4K

$126.7K

$188K

How much do databricks software jobs pay per year?

As of Sep 8, 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 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.

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 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 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

Databricks Consultant (1099 Part-Time)

Corner Alliance

Washington, DC • Remote

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Corner Alliance is a dynamic, growing consulting firm that devotes itself to providing an enriching employee experience while working in meaningful ways to create results for the government. We are currently seeking a Databricks Consultant with 6+ years of experience to join our growing team of economists and fully embrace our commitment to deliver, grow and thrive.
**Note: This role is a 1099 Contractor Position expected to begin in October for ~80 hrs/month for the duration of two months
About the Role:
Corner Alliance is supporting our federal government clients by delivering high-impact economic and policy analysis related to broadband, spectrum, and next-generation communications technologies. Our team provides expertise in financial modeling, spectrum valuation, and socio-economic impact evaluation to help inform national policy and investment decisions. You will be trusted to lead the technical design and development of a Databricks-based analytics and dashboard prototype. The ideal candidate will bring strong hands-on experience with Databricks, Python, SQL, Spark/PySpark, and Delta Lake, along with the ability to develop interactive analytical dashboards, build reliable data pipelines, and create reusable analytical workflows. 
Key Responsibilities include (but are not limited to):
  • Lead the design and development of a Databricks-based dashboard prototype, translating economist-developed requirements, data models, KPIs, and analytical use cases into functional technical capabilities.
  • Design and implement scalable data ingestion, transformation, integration, and quality-control workflows for publicly available broadband, demographic, economic, labor, and geographic datasets.
  • Develop interactive dashboard functionality supporting maps, geographic comparisons, trend analysis, filters, KPI summaries, socioeconomic indicators, and downloadable outputs.
  • Build and maintain structured analytical datasets using Python, SQL, Spark/PySpark, Delta Lake, and Databricks workflows, with appropriate metadata, lineage, versioning, and reproducibility.
  • Translate program and policy questions into technically feasible data products, visualizations, queries, and reusable analytical workflows.
  • Design and test AI-assisted natural-language querying or data-discovery functionality against curated public datasets and metadata, emphasizing source-grounded responses, transparency, and safeguards against unsupported inference.
  • Document system architecture, data pipelines, schemas, transformation logic, data dictionaries, code/configuration artifacts, dependencies, and deployment procedures so prototype functionality can be maintained and transferred.
  • Carry out our Commitments to Deliver, Grow, and Thrive.
Location:
Remote.
Required Experience/Skills:
  • Bachelor's degree or higher in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, Geographic Information Science, or a related technical field.
  • 5+ years of experience in data engineering, analytics engineering, software development, business intelligence, or related technical roles.
  • Demonstrated hands-on experience developing production or prototype solutions using Databricks.
  • Strong proficiency with Python and SQL, including experience working with Spark/PySpark and large structured datasets.
  • Experience designing and implementing ETL/ELT pipelines, data transformations, data-quality controls, and reusable analytical datasets.
  • Demonstrated experience building interactive analytical dashboards, data applications, or business-intelligence solutions from integrated datasets.
  • Experience with Git and modern software-development practices, including code review, testing, documentation, and collaborative development.
  • Ability to translate analyst, economist, program, and stakeholder requirements into practical technical designs and working functionality.
  • Demonstrated ability to communicate technical decisions, limitations, and dependencies clearly to both technical and non-technical stakeholders.
  • Strong analytical, problem-solving, documentation, and cross-functional collaboration skills.
  • U.S. citizenship or permanent residency and the ability to pass a public trust clearance or suitability determination
Preferred Experience/Skills:
  • Databricks certification such as Databricks Certified Data Engineer Associate/Professional or equivalent demonstrated expertise.
  • Experience developing applications or dashboards using Databricks Apps, Lakeview/AI/BI dashboards, Streamlit, Plotly, Dash, Power BI, Tableau, or comparable visualization frameworks.
  • Experience working with public Federal datasets such as Census/ACS, FCC Broadband Data Collection, NTIA broadband data, BLS, BEA, or similar demographic and economic datasets.
  • Familiarity with broadband, telecommunications, infrastructure, economic-development, or Federal grant-program data.
  • Experience implementing LLM-enabled analytics, natural-language-to-SQL, retrieval-augmented generation, semantic layers, or AI-assisted data discovery within Databricks or a comparable enterprise data platform.
Don’t think you have everything for this role but are still very interested? Please don’t hold back from applying because you may not have it all. You can learn and grow with us. We're looking for someone who is coachable, unflappable in navigating challenges, resourceful in learning new skills, innovative in challenging the status quo, excellent in writing, analytical in thinking, skilled in prioritization, and a rapport builder with clients and colleagues.
About Us:
Corner Alliance offers a comprehensive and competitive benefits package for full-time employees including 401k matching (4%), PTO (3 weeks to start, 4 weeks (2-5 years) and 5 weeks (5 years+)), health, dental, vision, short- and long-term disability, FSA accounts, 4 weeks of paid parental leave, 11 paid holidays (including your birthday off), fitness & cell phone reimbursements, monthly all hands update meetings, annual in-person all hands team building day and evening out, regular check-ins for professional growth goals, semi-monthly one on one performance manager meetings, a social team that coordinates monthly events, use of technology like Slack to keep us connected and collaborative, and overall, a company culture dedicated to a highly engaged team.
Corner Alliance is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability status, genetics, protected veteran status, or any other basis covered by applicable law. We are dedicated to building a talented workforce that reflects the strength of our society and our shared commitment to excellence. In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position with Corner Alliance please call (202) 754-8120 or email recruiting@corneralliance.com. Corner Alliance participates in the E-verify program and will provide the Federal Government with Form I-9 information to confirm work authorization in the U.S.
Visit us at www.corneralliance.com to learn more.
Securing Your Data:
Beware of fake employment opportunities using Corner Alliance’s name. Corner Alliance will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Corner Alliance ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Corner Alliance will only communicate with you through our ATS system JazzHR and/or emails that are generated by the corneralliance.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Corner Alliance that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at recruiting@corneralliance.com. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
Compensation:
Approximate Hourly Rate Estimate: $90.00 - $100.00 per hour
The estimate displayed represents the typical salary range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have, and comparison to other employees already in this role.
 

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