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Senior Databricks Developer Jobs (NOW HIRING)

Senior Databricks Engineer

Mclean, VA · On-site

$107K - $147K/yr

Vienna, VA (Onsite) We are seeking an experienced Senior Databricks Engineer to design, develop ... Knowledge of CI/CD, Git, Azure DevOps, or Jenkins. * Experience with workflow orchestration tools ...

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Sr Databricks Data Engineer

Arlington, VA · On-site

$120K - $165K/yr

Share this job: Share: Share Sr Databricks Data Engineer with Facebook Share Sr Databricks Data Engineer with LinkedIn Share Sr Databricks Data Engineer with Twitter Caution against fraudulent job ...

Sr AWS Databricks DevOps Lead

Dallas, TX · On-site

$129K - $165K/yr

AWS Databricks DevOps / Cloud Data Platform DevOps Lead Location- Dallas, TX Duration- Long term The AWS Databricks DevOps Lead / Cloud Data Platform DevOps Lead is responsible for leading operations ...

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Senior Databricks Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Senior Databricks Data Engineer Location: Austin, TX (Hybrid) Interview Mode: In-Person Job Summary ... Experience with CI/CD pipelines, Git, and DevOps practices for data engineering. * Excellent ...

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Senior Databricks Developer information

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$80.3K

$163.5K

How much do senior databricks developer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for senior databricks developer in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.
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Infographic showing various Senior Databricks Developer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Databricks Developer

Purple Drive Technologies LLC

Bloomfield, CT • On-site

$54.50 - $72/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Senior Databricks Developer

Location :Remote/Hybrid
Job Summary
We are seeking a Senior Databricks Developer with strong expertise in Databricks, Python, and cloud-based data engineering, preferably within the healthcare domain. The ideal candidate will have extensive experience building scalable data pipelines, developing cloud-native analytics solutions, and working in Agile delivery environments. Experience with AWS and healthcare data platforms is highly desirable.
Key Responsibilities
Design, develop, and optimize large-scale data processing solutions using Databricks.
Build and maintain robust ETL/ELT pipelines using Python and Databricks.
Develop scalable data ingestion, transformation, and integration frameworks from multiple data sources.
Leverage Databricks features including Delta Lake, Spark SQL, Unity Catalog, Workflows, and ML capabilities.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Work with AWS services to support cloud-based data platforms and analytics workloads.
Implement data quality checks, monitoring, performance tuning, and operational support processes.
Participate in architecture discussions and contribute to best practices for data engineering and cloud adoption.
Ensure compliance with security, governance, and data management standards.
Actively participate in Agile ceremonies including sprint planning, backlog grooming, daily standups, sprint reviews, and retrospectives.
Required Skills & Qualifications
Mandatory Skills
7+ years of overall IT experience in Data Engineering and Analytics.
Strong hands-on experience with Databricks development and administration.
Strong Python programming skills for data processing, automation, and analytics.
Experience with Apache Spark (PySpark) and distributed data processing.
Strong experience in designing and developing ETL/ELT pipelines.
Experience working with structured and unstructured data.
Hands-on experience with Git version control and CI/CD practices.
Strong understanding of data modeling, data warehousing, and performance optimization.
Mandatory experience working in Agile/Scrum delivery models.
Excellent analytical, problem-solving, and communication skills.
Preferred Skills
Working knowledge of AWS services such as:
o S3
o Glue
o Lambda
o EC2
o IAM
o CloudWatch
o Redshift (preferred)
Experience with healthcare data ecosystems.
Knowledge of FHIR, HL7, Claims, Membership, Provider, or Clinical data domains is an advantage.
Exposure to data governance, data quality, and security frameworks.
Preferred Experience
Healthcare/Payer/Provider industry experience is a strong advantage.
Experience supporting enterprise-scale cloud data platforms.
Exposure to DevOps and DataOps practices.
Experience mentoring junior developers and leading technical workstreams.
Education
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
Nice to Have
Databricks Certifications.
AWS Cloud Certifications.
Healthcare domain certifications or relevant project experience.