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Contract Databricks Data Engineer Jobs in New Mexico

SPECTRA TECH, Inc.

Solutions Architect 4

Los Alamos, NM · On-site

$58.75 - $77.25/hr

... on Databricks full-stack solution design • Advise on design of both data movement (e.g. batch ... engineers, analysts, and AI/ML teams participate in architecture reviews and contribute to ...

SPECTRA TECH INC

Solutions Architect 4

Los Alamos, NM · On-site

$58.75 - $77.25/hr

... stores onto Databricks and related cloud data platforms Recommend security, governance, and ... engineers, analysts, and AI/ML teams participate in architecture reviews and contribute to ...

Booz Allen Hamilton

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to ... as well as contract-specific affordability and organizational requirements. The projected ...

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to ... as well as contract-specific affordability and organizational requirements. The projected ...

Cardinal Health

Hands-on experience with Google BigQuery, Databricks, relational databases, and SQL-based analysis ... Exposure to AI-enabled analytics, prompt engineering, and emerging agentic AI frameworks to improve ...

InvestedintheMission

Contracts Manager

Albuquerque, NM · On-site

$101 - $154/hr

... and engineering, to streamline contract workflows and mitigate risks. Your expertise will be ... Oversee maintenance and retrieval of contract documents/files and validated data, preparation of ...

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Contract Databricks Data Engineer information

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract 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 SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What are the most commonly searched types of Databricks Data Engineer jobs in New Mexico?

The most popular types of Databricks Data Engineer jobs in New Mexico are:

What are popular job titles related to Contract Databricks Data Engineer jobs in New Mexico?

For Contract Databricks Data Engineer jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Data Engineer jobs in New Mexico look for?

The top searched job categories for Contract Databricks Data Engineer jobs in New Mexico are:

Contract Databricks Data Engineer jobs near you
Infographic showing various Contract Databricks Data Engineer job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Solutions Architect 4

SPECTRA TECH, Inc.

Los Alamos, NM • On-site

$58.75 - $77.25/hr

Full-time

Re-posted 7 days ago

Job description

Spectra Tech is seeking a Solutions Architect 4 for Los Alamos, NM.
Responsibilities:
• 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:
• MS, 20 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
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.)

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