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Full Time Databricks Developer Jobs (NOW HIRING)

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Remote (must reside in (WA, OR, ID, OH, SC, TX, FL, IL, NC) Employment Type: Full-Time About the Role We are seeking a Sr. Databricks AI/ML Engineer with deep expertise in building AI applications ...

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Data Architect, Databricks

$65.25 - $84/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Data Architect, Databricks

$65.25 - $84/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Remote (must reside in (WA, OR, ID, OH, SC, TX, FL, IL, NC) Employment Type: Full-Time About the Role We are seeking a Sr. Databricks AI/ML Engineer with deep expertise in building AI applications ...

Benefits: Full-time salaried exempt employees are eligible for Colas Group benefits, as outlined in ... Git, Azure DevOps or GitHub Actions, Databricks Asset Bundles / Repos, automated testing, and ...

Benefits: Full-time salaried exempt employees are eligible for Colas Group benefits, as outlined in ... Git, Azure DevOps or GitHub Actions, Databricks Asset Bundles / Repos, automated testing, and ...

S.) / Detroit, MI Preferred Employment Type: Full-Time About the Role We are seeking an experienced ... Partner with business stakeholders, product owners, architects, and engineering teams to define ...

Showing results 41-60

Full Time Databricks Developer information

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$20

$61

$79

How much do full time databricks developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for full time databricks developer in the United States is $61.49, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $68.03 per hour, depending on experience, location, and employer.

What is a full time Databricks developer?

Full Time Databricks Developers are professionals who specialize in using the Databricks platform to process, analyze, and manage big data. They build and maintain data pipelines, develop ETL processes, and work with tools such as Apache Spark, Python, and SQL to turn raw data into actionable insights. These developers often collaborate with data scientists, engineers, and business stakeholders to implement scalable data solutions. Working full time means they are dedicated employees, typically with responsibilities that include troubleshooting data issues, optimizing performance, and ensuring data security within the Databricks environment.

What are the key skills and qualifications needed to thrive as a full time Databricks developer?

To thrive as a Full Time Databricks Developer, you need expertise in data engineering, Spark programming, and proficiency in languages like Python or Scala, often backed by a degree in computer science or related fields. Familiarity with Databricks platform, Azure or AWS cloud services, and certifications such as Databricks Certified Data Engineer are commonly expected. Strong problem-solving abilities, attention to detail, and effective collaboration skills help you stand out in this role. These skills ensure efficient data processing, reliable pipeline development, and seamless teamwork for delivering scalable analytics solutions.

What are the typical collaboration expectations for a full time Databricks developer within a data engineering team?

As a Full Time Databricks Developer, you’ll frequently collaborate with data engineers, data scientists, and business analysts to design, build, and optimize data pipelines and workflows. Expect to participate in agile ceremonies, code reviews, and cross-functional meetings to ensure alignment on project goals and data requirements. Communication is key, as you’ll often translate technical concepts for non-technical stakeholders and work together to resolve data quality, performance, or integration challenges. This collaborative environment not only fosters innovation but also provides opportunities to broaden your skills and contribute to impactful business solutions.

What is the difference between Full Time Databricks Developer vs Data Engineer?

AspectFull Time Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformBuilding, maintaining, and optimizing data infrastructure and pipelines across various platforms
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data architecture
Work EnvironmentCollaborates closely with data scientists and analysts within cloud-based environmentsWorks with data infrastructure teams, cloud services, and data storage systems

While both roles require expertise in Spark, SQL, and cloud platforms, a Full Time Databricks Developer primarily focuses on developing data solutions within the Databricks environment, whereas a Data Engineer has a broader scope, managing overall data infrastructure and pipelines across multiple platforms.

More about Full Time Databricks Developer jobs

What cities are hiring for Full Time Databricks Developer jobs?

Cities with the most Full Time Databricks Developer job openings:

What are the most commonly searched types of Databricks Developer jobs?

The most popular types of Databricks Developer jobs are:

What states have the most Full Time Databricks Developer jobs?

States with the most job openings for Full Time Databricks Developer jobs include:

Infographic showing various Full Time Databricks Developer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 2% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $127,901 per year, or $61.5 per hour.

Sr. Databricks Migration Engineer

LinTech Global

Washington, DC • Remote

$118K - $162K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 29 days ago


Job description

Dexian Government Solutions is recruiting for a Sr. Databricks Migration Engineer to support our contract at the USPSOIG in Arlington, Virginia.

Location: 100% Fulltime Remote

Position Description

  • The individual serves as the authoritative resource for the agency who specializes in preparing big data infrastructure for analytical or operational uses.
  • They are responsible for designing and creating systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret and enables the agency to make smarter decisions and optimize operations.

Position Requirements:

  • Lead the technical migration from legacy SQL Server stored procedures and ADF pipelines to Databricks Lakehouse (Delta Lake), ensuring best practice Lakehouse design.
  • Translate traditional relational data warehousing paradigms into scalable, distributed Lakehouse frameworks (Bronze, Silver, Gold).
  • Design robust, reusable ETL/ELT frameworks using PySpark, Delta Live Tables (DLT), and Databricks Workflows.
  • Architect and refine the Gold Layer (dimensional models, star schemas) specifically to maximize Power BI performance.
  • Optimize Databricks SQL Warehouses to support high-concurrency, low-latency Power BI queries (DirectQuery and Import modes).
  • Implement advanced optimization techniques, including Z-Ordering, data skipping, liquid clustering, and materialized views.
  • Define and enforce governance standards for cluster sizing, auto-scaling policies, and serverless SQL compute to balance performance with cost.
  • Implement proactive monitoring dashboards to track Databricks Unit (DBU) consumption and identify cost-saving opportunities.
  • Establish best practices for partition strategies and file size management within Delta Lake.
  • Design and implement a robust data security model using Unity Catalog for centralized governance.
  • Enforce row-level and column-level security policies to ensure compliant data access for Power BI consumers and internal analysts.
  • Align the Lakehouse security architecture with existing enterprise Azure Active Directory (Microsoft Entra ID) and RBAC standards.
  • Act as the primary technical lead, conducting dedicated pair-programming sessions, workshops, and code reviews to transition the team from SQL-centric to Spark-centric thinking.
  • Create comprehensive technical documentation, including architecture diagrams, design patterns, and optimization playbooks.
  • Build a foundational knowledge transfer framework to ensure the internal team is fully self-sufficient post-migration.
  • Communicate effectively verbally and in written form to both technical and non-technical audience
  • Work in an organized fashion, completing tasks timely while paying close attention to details

Desired Requirements:

  • Mastery of data engineering principles, including data modeling, ETL (Extract, Transform, Load) processes, and data pipelines
  • Proficiency with Azure Data Lake data storage and processing services
  • Skilled at designing, building, and optimizing data pipelines for ingesting, transforming, and loading data
  • Proficiency in languages such as SQL and Python/PySpark for data manipulation and pipeline development
  • Skilled at identifying and resolving data-related challenges
  • Skilled at creating efficient data models that meet business requirements.
  • Skilled at optimizing query performance and system scalability

Required Experience:

  • Bachelor's degree or higher from an accredited college or university in Computer Science, Engineering, or a related technical field
  • 5+ years' experience in data engineering, data system development or related roles
  • 5+ years' experience with cloud platforms (e.g. Azure, AWS, GCP)
  • 1+ year leading complex, cross-functional data projects and technical teams
  • Experience with Databricks Lakehouse, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
  • Experience with data warehousing, dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark
  • Must be able to pass a background investigation required to obtain a Public Trust.

Company Description

Dexian Government Solutions is an award-winning, ISO 9001:2015 certified, business and GSA contract holder providing diversified Information Technology services to both Civilian and Defense agencies. Services include Software Development, Systems Integration, Data Management, Project Management, Operations & Maintenance, Cybersecurity, and Training and Audio/Visual (AV) Solutions. Dexian Government Solutions has received several recognitions, including rankings on "Top 50 Companies to Watch", Washington Technology's Annual "FAST 50", and Inc. 500's List of "Fastest Growing Private Companies". The Dexian Government Solutions team is comprised of individuals who are dedicated to the success and sustainability of our customers and their missions. Our combination of technical expertise, big business experience, and small business agility allows us to promptly provide our customers with exceptional IT and engineering solutions.

Benefits

Our robust benefits package includes Open Paid Time Off, 11 Federal Paid Holidays & 5 Paid Sick Days, Company-paid Life/AD&D, Company-paid Short Term and Long-Term Disability, Health Insurance with Company Contribution, 401k Plan with Company Match, Employee Recognition Program, opportunity for Employee Referral Bonus, opportunity for annual Performance Bonus and much more!

EEO Statement

Dexian Government Solutions is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided based on qualifications, merit, and business need.

All applicants will be considered for employment without attention to race, religion, color, national origin, ancestry, physical or mental disability, medical condition, pregnancy (including childbirth, lactation and related medical conditions), marital status, genetic information (including characteristics and testing), gender, sexual orientation, gender identity or expression, military and veteran status, or any other status protected under federal, state, or local law in the locations where we operate.

If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Human Resources. The Company invites any applicant and/or employee to review the Company's written Affirmative Action Plan. This plan is available for inspection upon request.

http://Lintechglobal.com/wp-content/uploads/2017/09/poster_screen_reader_optimized.pdf



This role requires customer approval, suitability to hold a public trust and successful completion of a preemployment background screening.