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Part-Time Senior Databricks Data Engineer / Architect
JOB SUMMARY
Roles
Job details
ResponsibilitiesPeraton is seeking a skilled and experienced Senior Databricks Data Engineer / Architect to support high-impact and on-going modernization, data and cloud initiatives.
In this role, you will design and build scalable Databricks Lakehouse solutions, lead complex data transformations through initial data loads and incremental updates to create bronze, silver and gold copies of data through a data pipeline.
The data will be accessed via Business Intelligence (BI) tools, APIs, data extracts and Machine Learning Pipelines.
This individual will be responsible for building and optimizing data pipelines, integrating diverse data sources, and enabling scalable, high performance data solutions across the organization.
This is an excellent opportunity for a growing professional eager to deepen their expertise in data engineering and data science within a collaborative environment.
This is a part-time position. Roles Responsibilities:Architect and design Development, Test, Pre‑production, Production, and Disaster Recovery (DR) environments in AWS using Databricks.
Install, configure, and troubleshoot Databricks PVC deployments across all environments, and provide documentation for future installations. Develop and optimize ETL/ELT pipelines using SQL, Python, and PySpark.
Ingest, transform, and integrate data from diverse enterprise sources. Define data models, data quality rules, and observability standards. Lead performance tuning, cost optimization, and reliability enhancements for Databricks workloads. Collaborate with architects, product owners, and business stakeholders to deliver data solutions. Provide guidance on Databricks and cloud best practices. Deliver peer training and mentorship as needed. Contribute to defining and implementing the target-state Databricks architecture. Support the development of the Data Governance framework and operating model for the target state.
Assist Cybersecurity with security assessments, ATO readiness, and related approvals. Perform advanced Databricks performance optimization (e. g. , Z‑Ordering, partitioning, bucketing) and monitor system performance. Support self-service analytics and BI platforms. Apply CI/CD and DataOps best practices to data engineering workflows. Mentor engineers, conduct code reviews, and promote engineering excellence. Build enterprise-scale data systems enabling analytics and reporting initiatives. Document data pipelines, system architecture, and technical processes to ensure maintainability and knowledge transfer.
Qualifications
:Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhDExperience in data engineering or a related fieldHands-on experience with Databricks
Cloud
experience (AWS or Azure)Familiarity with CI/CD pipelines for data projects and automated deployment strategiesStrong proficiency in SQL and Python for data processing and ETL developmentFamiliarity with Agile/Scrum methodologies and Jira for project trackingSolid understanding of data modeling, warehousing, and performance optimizationMust be a U. S. Citizen or Lawful Permanent Resident (LPR) with at least three consecutive years of U. S. residency from the date of legal entry as an LPRMust be able to obtain and maintain the required MBI clearanceStrong communication skillsMust be a US CitizenMust be able to obtain and maintan the required agency clearance Preferred
Qualifications
:Experience with Agile/Scrum methodologiesEnterprise data architecture experienceML workflows exposureDatabricks / Cloud certificationsKnowledge of data governance, compliance, and security best practicesActive MBI ClearancePeraton OverviewPeraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy.
As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace.
The company serves as a valued partner to essential government agencies and supports every branch of the U. S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton. com to learn how we’re keeping people around the world safe and secure. Target
Salary Range
$66,000 - $106,
000.
This represents the typical
salary range
for this position. Salary is determined by various factors, including but not limited to, the scope and
responsibilities:
of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic
location
and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
In this role, you will design and build scalable Databricks Lakehouse solutions, lead complex data transformations through initial data loads and incremental updates to create bronze, silver and gold copies of data through a data pipeline.
The data will be accessed via Business Intelligence (BI) tools, APIs, data extracts and Machine Learning Pipelines.
This individual will be responsible for building and optimizing data pipelines, integrating diverse data sources, and enabling scalable, high performance data solutions across the organization.
This is an excellent opportunity for a growing professional eager to deepen their expertise in data engineering and data science within a collaborative environment.
This is a part-time position. Roles Responsibilities:Architect and design Development, Test, Pre‑production, Production, and Disaster Recovery (DR) environments in AWS using Databricks.
Install, configure, and troubleshoot Databricks PVC deployments across all environments, and provide documentation for future installations. Develop and optimize ETL/ELT pipelines using SQL, Python, and PySpark.
Ingest, transform, and integrate data from diverse enterprise sources. Define data models, data quality rules, and observability standards. Lead performance tuning, cost optimization, and reliability enhancements for Databricks workloads. Collaborate with architects, product owners, and business stakeholders to deliver data solutions. Provide guidance on Databricks and cloud best practices. Deliver peer training and mentorship as needed. Contribute to defining and implementing the target-state Databricks architecture. Support the development of the Data Governance framework and operating model for the target state.
Assist Cybersecurity with security assessments, ATO readiness, and related approvals. Perform advanced Databricks performance optimization (e. g. , Z‑Ordering, partitioning, bucketing) and monitor system performance. Support self-service analytics and BI platforms. Apply CI/CD and DataOps best practices to data engineering workflows. Mentor engineers, conduct code reviews, and promote engineering excellence. Build enterprise-scale data systems enabling analytics and reporting initiatives. Document data pipelines, system architecture, and technical processes to ensure maintainability and knowledge transfer.
Qualifications
:Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhDExperience in data engineering or a related fieldHands-on experience with Databricks
Cloud
experience (AWS or Azure)Familiarity with CI/CD pipelines for data projects and automated deployment strategiesStrong proficiency in SQL and Python for data processing and ETL developmentFamiliarity with Agile/Scrum methodologies and Jira for project trackingSolid understanding of data modeling, warehousing, and performance optimizationMust be a U. S. Citizen or Lawful Permanent Resident (LPR) with at least three consecutive years of U. S. residency from the date of legal entry as an LPRMust be able to obtain and maintain the required MBI clearanceStrong communication skillsMust be a US CitizenMust be able to obtain and maintan the required agency clearance Preferred
Qualifications
:Experience with Agile/Scrum methodologiesEnterprise data architecture experienceML workflows exposureDatabricks / Cloud certificationsKnowledge of data governance, compliance, and security best practicesActive MBI ClearancePeraton OverviewPeraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy.
As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace.
The company serves as a valued partner to essential government agencies and supports every branch of the U. S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton. com to learn how we’re keeping people around the world safe and secure. Target
Salary Range
$66,000 - $106,
000.
This represents the typical
salary range
for this position. Salary is determined by various factors, including but not limited to, the scope and
responsibilities:
of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic
location
and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
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