Design advanced analytics and predictive models within Databricks using Python, SQL, and Spark to identify revenue leakage and recovery opportunities.
Develop interactive Databricks dashboards and visualizations for operational and executive visibility into revenue-cycle performance.
Build detection logic for missing charges, coding errors, denied claims, underpayments, and aged receivables, and create recoverability scoring models.
LMI is a digital solutions provider accelerating government impact with innovation and speed, serving defense, space, healthcare, and energy sectors. Headquartered in Tysons, Virginia, the company delivers commercial-grade platforms and mission-ready AI to federal agencies.
Build out and configure a dedicated Government Databricks workspace within the existing environment
Design and implement data ingestion pipelines from core agency systems including financial, HR, CRM, and ITSM
Implement Databricks Unity Catalog for centralized data governance, metadata management, and end-to-end lineage tracking
Peraton is a next-generation national security company that drives missions of consequence globally. As a leading mission capability integrator and enterprise IT provider, the company serves essential government agencies and supports every branch of the U.S. armed forces.
Architect enterprise-scale Databricks data platforms with guardrails, automation, and standards to enable safe self-service by business teams.
Design high-volume batch and real-time streaming pipelines using PySpark and Structured Streaming, integrating Unity Catalog with third-party metadata.
Communicate architectural decisions to technical and business stakeholders, produce documentation, and partner with client teams to translate use-case needs into platform capabilities.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact using AWS, AI, and Anthropic's Claude platform. They are a fully remote global company with employees across Canada, the US, and Latin America, fostering a culture of technological curiosity and inclusion.
Design, develop, and maintain scalable, production-ready data pipelines and data products using Spark (Python/SQL) in a Databricks environment.
Lead the integration and transformation of complex data from diverse DoD and federal health systems into reliable, reusable data products.
Provide technical guidance and mentorship to other engineers, helping teams navigate complex technical challenges.
540 is a forward-thinking company that delivers innovative technology solutions for government missions. The team has a culture of breaking down barriers and solving mission-critical problems.
Design and architect scalable Databricks-based solutions for enterprise clients.
Lead end-to-end cloud data platform implementations across AWS and/or Azure.
Partner directly with client stakeholders to understand business needs and translate them into technical solutions.
Cuesta Partners is a consulting firm that delivers data engineering solutions in a client-facing environment. They value entrepreneurship, humility, diversity, learning, speed, and balance, and offer a competitive compensation package.
Design production data pipelines using Databricks Lakeflow, Autoloader, and Structured Streaming with CI/CD.
Architect Lakehouse solutions including medallion architecture and Unity Catalog for analytics and AI.
Collaborate with product and backend engineers to design data models and APIs that serve the product.
Livefront helps companies design and build world-class digital products. They have worked with major brands and startups, fostering a culture built on respect, mutual trust, and egoless collaboration.
Lead and deliver end-to-end Databricks implementation projects at enterprise scale.
Design and architect Lakehouse Platform solutions aligned with client business needs.
Apply deep Apache Spark expertise to optimize distributed workloads and runtime performance.
We are a data infrastructure and analytics consulting practice specializing in Databricks implementations for enterprise clients. Our team is composed of experienced engineers and architects who prioritize production-grade quality and continuous learning.
Lead the design and implementation of cloud data lakehouse architecture for federal data migration using Databricks.
Oversee ETL pipeline development, schema harmonization, and data quality frameworks within FedRAMP-compliant AWS.
Produce documentation for government review, including data model harmonization reports and authority source registry.
Peraton is a next-generation national security company that drives missions of consequence across land, sea, space, air, and cyberspace. As a leading mission capability integrator and IT provider, they serve essential government agencies and support all U.S. armed forces branches, delivering solutions to protect the nation and allies.
Lead technical discovery and design solutions for customer workloads in data engineering, analytics, and ML.
Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform.
Own frontline technical relationships with customer engineers and data teams to drive platform adoption.
Databricks is the Data and AI company. Over 20,000 organizations worldwide, including 70% of the Fortune 500, rely on its unified platform for data, analytics, and AI, with a culture of proactiveness and customer-centricity.
Design and architect scalable Databricks-based solutions for enterprise clients.
Lead end-to-end cloud data platform implementations across AWS and Azure.
Provide technical leadership and guidance to data engineering teams.
Cuesta Partners delivers data engineering solutions for enterprise clients. They are a consulting firm with a collaborative culture focused on technical excellence and team growth.
Own architecture and delivery for modern data platforms end-to-end.
Shape client data strategy and design scalable solutions.
Mentor internal team members and ensure high-quality delivery.
8th Light is a technology solutions consultancy that partners with organizations from early-stage startups to the world's largest companies. Founded in 2006, we foster an open, collaborative culture grounded in honesty and continuous education.
Define strategic Databricks adoption roadmaps and platform guardrails for enterprise clients.
Embed with client teams to implement high-priority use cases, then guide them toward self-service.
Act as a data engineering SME in pre-sales and coach client teams on Databricks best practices.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. They are a fully remote global company with employees across Canada, the United States, and Latin America, fostering a culture of technological curiosity and inclusion.
Lead the architecture and implementation of access controls across a Databricks Lakehouse environment.
Translate security and compliance requirements into scalable technical controls and policies.
Provide technical leadership and partner with data engineering, platform, and identity teams.
The company is a technology firm specializing in data security and modern cloud data platforms. It is a large enterprise with a strong emphasis on security, automation, and cross-functional collaboration.
Build and maintain Silver and Gold data models, domain marts, curated datasets, and semantic assets for priority domains onboarding to Databricks.
Partner directly with business stakeholders to translate domain requirements and KPI definitions into governed, testable, and reusable transformation logic.
Create reusable domain patterns and analytical building blocks that allow teams such as FP&A, RevOps, and Marketing to operate more self-service over time.
Shield AI is a venture-backed defense-tech company protecting service members and civilians with intelligent systems. With offices worldwide, its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.
Guide strategic enterprise customers through cloud data engineering transformations, including performance testing and production-ready pipeline architecture.
Prove platform value by architecting solutions for big data, data warehousing, and lakehouse use cases.
Support technical sales through custom proofs of concept, workload sizing, and community workshops.
Databricks is the Data and AI company, providing a unified platform for data, analytics, and AI to over 20,000 organizations worldwide, including 70% of the Fortune 500. Headquartered in San Francisco with 30+ offices globally, it fosters a diverse and inclusive culture and offers comprehensive benefits.
Design and maintain DBT models on Azure Databricks using Delta Lake and Medallion Architecture.
Leverage AI-assisted development tools for model generation, refactoring, and testing.
Enforce data contracts, governance standards, and data observability practices.
Coforge is a global IT services company specializing in digital transformation solutions. They have a large workforce and prioritize a collaborative, skills-based culture.
Design, build, and maintain scalable data pipelines and ETL/ELT processes supporting cloud-based data environments for the Department of Veterans Affairs.
Implement patient-matching and record-linkage logic across multiple identifiers to ensure accurate, deduplicated Veteran data across disparate source systems.
Harmonize datasets across VA facilities, resolving structural and format inconsistencies to produce analysis-ready data assets.
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Founded in 2012, the company employs over 300 people nationwide and focuses on human-centered services.
Design and deliver scalable Databricks solution architectures for enterprise customers.
Lead technical discovery sessions and develop prototypes and proofs of concept.
Collaborate with engineering, data science, and business teams to translate technical concepts into business outcomes.
This company is a partner organization that designs and delivers modern data and AI platforms. It offers a remote-friendly work environment and a collaborative culture focused on innovation.
Serve as a technical leader shaping the architecture, scalability, security, and performance of an enterprise data platform.
Design and implement data governance, security, and ETL solutions for healthcare data using Databricks, AWS, and Terraform.
Collaborate with engineering, data science, and business teams to translate complex requirements into reliable and secure solutions.
IntelliScript is a healthcare data platform company that builds enterprise warehouse, lakehouse, pipeline, and data product solutions. They foster a collaborative culture focused on technical leadership, innovation, and cross-functional teamwork.
Define scalable architectures for enterprise data platforms across ingestion, storage, processing, governance, and consumption.
Establish technical standards for data modeling, security, reliability, and lifecycle management.
Mentor engineers and guide architectural direction while partnering with cross-functional teams.
The company is a technology organization focused on building enterprise data platforms. It fosters a culture of innovation and collaboration, with a focus on technical excellence.