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Databricks Engineer Jobs in New Mexico (NOW HIRING)

Cardinal Health

What Data Engineering contributes to Cardinal Health As a Databricks Data Engineer with a Solution Architect background , you will lead the design of enterprise-scale data solutions, establish ...

Lexisnexis Risk Solutions

Software Engineer III

House, NM

$51.75 - $69.50/hr

Experience supporting Databricks (clusters, networking, IAM, performance tuning) and Snowflake ... Reliability engineering experience including scaling, fault tolerance, SLOs, capacity planning, and ...

Relx

Software Engineer III

House, NM

$51.75 - $69.50/hr

Experience supporting Databricks (clusters, networking, IAM, performance tuning) and Snowflake ... Reliability engineering experience including scaling, fault tolerance, SLOs, capacity planning, and ...

RELX

Software Engineer III

House, NM

$51.75 - $69.50/hr

Experience supporting Databricks (clusters, networking, IAM, performance tuning) and Snowflake ... Reliability engineering experience including scaling, fault tolerance, SLOs, capacity planning, and ...

Corning

Sr Data Analytics Engineer

Apodaca, NM

$113K - $136K/yr

Senior Data Analytics Engineer Are you looking for an opportunity to combine data engineering and ... Hands-on experience with Databricks, including data pipelines, SQL, Delta Lake, and notebooks

Cardinal Health

$96K - $116K/yr

Operate fluently across Databricks and major cloud platforms (Azure, GCP). * Leverage modern AI ... Experience: 4+ years in Data Engineering, Software Engineering, or Analytics, with a proven track ...

Geosyntec Consultants, Inc.

Solutions Architect 4

Los Alamos, NM · On-site +1

$68.50 - $90.25/hr

Our engineers, scientists, technical and project employees serve our clients from offices across ... Advise on the Databricks reference architecture covering Lakeflow, Delta Lake, Unity Catalog Mosaic ...

SPECTRA TECH, Inc.

Solutions Architect 4

Los Alamos, NM · On-site

$58.75 - $77.25/hr

Responsibilities: • Advise on the Databricks reference architecture covering Lakeflow, Delta Lake ... engineers, analysts, and AI/ML teams participate in architecture reviews and contribute to ...

SPECTRA TECH INC

Solutions Architect 4

Los Alamos, NM

$58.75 - $77.25/hr

Advise on the Databricks reference architecture covering Lakeflow, Delta Lake, Unity Catalog Mosaic ... engineers, analysts, and AI/ML teams participate in architecture reviews and contribute to ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in New Mexico

Databricks Engineer information

See New Mexico salary details

$57.7K

$108.2K

$196.7K

How much do databricks engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for databricks engineer in New Mexico is $108,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $128,400.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in New Mexico? For Databricks Engineer jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in New Mexico look for? The top searched job categories for Databricks Engineer jobs in New Mexico are:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in New Mexico as of July 2026, with employment types broken down into 1% As Needed, 89% Full Time, 4% Part Time, and 6% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $108,179 per year, or $52 per hour.

Databricks Solutions Architect

Strategic Management Solutions LLC

Los Alamos, NM • On-site, Remote

$57.25 - $75.50/hr

Full-time

Re-posted 6 days ago

Job description

Strategic Management Solutions, LLC (SMSI) provides expert management consulting, program and project management, and technical consulting services to government and private sector clients. SMSI has grown and evolved by building an outstanding reputation for client-focused performance and for delivering results that enable clients to meet commitments and milestones.
SMSI is an Equal Employment Opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Summary
SMSI LLC is seeking a Databricks Solutions Architect to assist our client, Los Alamos National Laboratory (LANL). This position will be mostly remote, with occasional trips onsite in Los Alamos, NM as needed.
Responsibilities
Los Alamos National Laboratory has selected SAP for their next-generation Cloud ERP solution. In parallel, they will require a future state data strategy to take advantage of new tools and technology to help modernize their 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.
This role will be critical in transformation of their 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.
Job Requirements
  • 5+ years of progressive experience in data architecture, data modernization, and cloud-based data solutions.
  • 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
  • Excellent verbal and written communication skills.
  • Candidate must have the ability to work with many team members across multiple disciplines.
  • The candidate must be able to obtain and maintain a DOE Q clearance.
  • The candidate must have an active Real ID diver's license for badging and onboarding.

Preferred Qualifications
  • 7+ years designing, building, and operating Databricks workloads with medallion layer architecture
  • 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
  • Active (or recent) Q clearance is a plus but not required.

Nice to Have:
  • 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, 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.)

Education Requirements
  • Bachelor's degree, preferably in computer science, engineering, information systems, or related discipline, along with 12 years of experience. Equivalent combination of education and experience will be considered.
  • Certifications are a plus.

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