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Remote Databricks Jobs in New Mexico (NOW HIRING)

Cardinal Health

Experience with Databricks or a similar modern cloud data and analytics platform. * Strong working ... REMOTE DETAILS: * You will work remotely, full-time. It will require a dedicated, quiet, private ...

First American

Experience working with modern cloud data platforms such as Snowflake and Databricks. * Proficiency in Python, SQL, JSON, or similar technologies to support data analysis, automation, and reporting ...

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Remote Databricks information

What is a remote Databricks engineer?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are the key skills and qualifications needed to thrive as a remote Databricks engineer?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

What are popular job titles related to Remote Databricks jobs in New Mexico?

For Remote Databricks jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Remote Databricks jobs in New Mexico look for?

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Cities in New Mexico with the most Remote Databricks job openings:

Remote Databricks jobs near you
Infographic showing various Remote Databricks job openings in New Mexico as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Solutions Architect 4 (Data Architect)

Edgewater Technical Associates

Los Alamos, NM • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Edgewater Technical Associates is seeking qualified candidates for a Solutions Architect 4 (Data Architect) opportunity in Los Alamos, NM, to support the Los Alamos National Laboratory.
Per diem available for those who qualify.
Location: Remote, Travel to the site for onboarding and potential meetings.
Group/Organization: ADS-BADS
Schedule: 9/80 A schedule, 5/8s available (flexible)
Summary:
The Data Architect will be using agile methodologies to design, build, and transform business solutions through an ERP Modernization effort and beyond to stabilization. As a member of the Business Applications and Data Services group (ADS-BADS), you will focus on executing an enterprise-wide data strategy to modernize our core operational data store and transition to a cutting-edge, scalable data platform.
Los Alamos National Laboratory has selected SAP for our next-generation Cloud ERP solution. In parallel, we will require a future state data strategy to take advantage of new tools and technology to help us modernize our current on-prem operational data store. This work plays a critical role in supporting key institutional initiatives such as enabling real-time analytics, AI/ML capabilities, and enhanced operational efficiency.
The Data Architect will be critical in the transformation of our legacy data environment into a modern, cloud-native architecture. In concert with institutional knowledge experts and ERP implementation planner and integrators, you will define the data strategy, standards, and blueprints for migrating and integrating high-volume operational data into a new platform, ensuring data integrity, security, and accessibility across the enterprise.
Key responsibilities include:
• Advise on the Databricks reference architecture covering Lakeflow, Delta Lake, Unity Catalog Mosaic AI, Databricks SQL, and Databricks Apps
• Provide hands-on guidance on Databricks full-stack solution design
• Advise on design of both data movement (e.g. batch, real-time streaming) and zero-copy patterns
• Guide platform migrations from legacy SQL and document stores onto Databricks and related cloud data platforms
• Recommend security, governance, and compliance-as-code: Unity Catalog ABAC, governed tags, row filters/column masks, key management, networking security and compliance security profiles.
• Advise on design of segregated/tiered data pool architectures aligned to the organization's data classification policy and applicable regulatory requirements, including cross-tier data movement
• Recommend FinOps and performance standards, workload and cost management
• Mentor data engineers, analysts, and AI/ML teams participate in architecture reviews and contribute to standards
• Work with information & cyber security, and other teams as needed for compliance to policies and standards
• Evaluate emerging Databricks capabilities and recommend adoption strategies, including endpoint integrations with third parties as they evolve
Required Qualifications:
• Masters/15+ years of experience; additional experience may be considered in lieu of experience.
• 7+ years designing, building, and operating Databricks workloads with medallion layer architecture
• Certifications: Oracle ERP Cloud and SAP.
• Hands-on experience with Delta Lake, Unity Catalog, Spark Structured Streaming, Lakeflow (or DLT/Live Tables), Databricks SQL, MLflow, and Mosaic AI Model Serving
• Strong experience in cloud architecture supporting the platform (VPC/VNet, Security, S3/ADLS, KMS, etc.)
• Proven experience migrating enterprise data workloads from legacy/on prem data warehouse/lake to Databricks
• Production streaming and CDC experience
• Depth in security and governance: Unity Catalog policies (ABAC), classification, encryption, access auditing, compliance-to-control translation
• Hands-on experience designing multi-tier Databricks architectures driven by data classification requirements
• Strong Python and SQL, Spark, Notebooks
• Excellent verbal and written communication skills
Desired Qualifications:
• Previous government experience
• Active Databricks certifications
• GenAI and agent systems on Databricks experience
• Delta Sharing and Databricks Clean Rooms for controlled, governed data exchange across organizational/cross-tier/system boundaries
• Familiarity with Oracle EBS and SAP enterprise data
• Experience with SAP BDC/DataSphere and Databricks integration to SAP BDC, with zero-copy patterns
• Lakeflow Designer, Databricks Apps, Genie, Databricks One
• CI/CD, Infrastructure-as-Code (e.g. Terraform) for data platforms
• Experience in designing, building, and supporting BI reporting layers
• Data Quality and Data Governance experience
• Prior experience in regulated industries (e.g. utilities, life sciences, government services) and exposure to related frameworks (e.g. FERC/NERC, HIPAA, GxP, GDPR, FedRAMP, ITAR, etc.)
Other Job Requirements:
  • United States Citizenship
  • Must be able to obtain and maintain DOE Q Security Clearance.

If you are interested in being considered for this position and your resume clearly outlines your relevant experience for this position, please follow the application steps via our website: www.edgewatertech.net/careers
Edgewater will not submit your resume without first having detailed discussions with you and obtaining your permission to do so. We look forward to hearing from you!
WORKING WITH EDGEWATER TECHNICAL ASSOCIATES
Founded in 2003, Edgewater Technical Associates, LLC (Edgewater) is a New Mexico-based small business headquartered in Los Alamos, NM, with five (5) regional offices across the United States to locally support our growing presence at project sites. Edgewater has a proven track record and is a trusted provider of fixed-price construction projects, engineering, and technical services for the Department of Energy (DOE), National Nuclear Regulatory Commission (NRC), Canadian Commercial Nuclear Industry, and private sector commercial contractors involved in nuclear, high-hazard, or complex operations. Edgewater's experience and guidance ensure that our customers perform hazardous operations, comply with regulatory requirements, and maintain the highest quality and safety standards.
Edgewater is committed to recruiting and maintaining a staff of highly skilled professionals to support our customers. In keeping with this objective, we offer highly competitive salaries and employee benefit packages structured to best suit your needs. We offer multiple individual and family benefit options including paid time off, medical, dental, life, vision, and disability insurance, and a pre- and post-tax 401 (k) retirement account with Company matching contributions and 100% vesting for eligible participants beginning DAY 1.
EQUAL OPPORTUNITY EMPLOYER
Edgewater is an equal opportunity employer and all qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, protected veterans, or individuals with disabilities in accordance with EO 14173.
View all Edgewater opportunities at www.edgewatertech.net/careers

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