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.
Own Gold-layer design and delivery, including facts, dimensions, domain data marts, and governed KPI implementations on Databricks.
Build and maintain the enterprise semantic layer through curated views, governed semantic models, and metric definitions.
Partner directly with business stakeholders across domains to clarify KPI definitions and resolve competing definitions before implementation.
Shield AI is a venture-backed defense-tech company developing intelligent systems to protect service members and civilians. The company has offices across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology supports operations worldwide.
Design and build ingestion pipelines from enterprise source systems into the Databricks lakehouse using Delta Lake, owning Bronze-layer ingestion and building Silver-layer pipelines for cleansing and standardization.
Implement and maintain Databricks platform constructs for secure delivery, including catalogs, schemas, service principals, and job orchestration, and build CI/CD pipelines for data platform assets.
Apply data classification and segregation requirements within pipeline design, build data quality controls reflecting business meaning, and partner with teams to ensure reliable, governed data for downstream use.
Shield AI is a venture-backed defense-tech company founded in 2015 with the mission of protecting service members and civilians with intelligent systems, developing products like Hivemind autonomy software and V-BAT and X-BAT aircraft. The company has offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology actively supports operations worldwide.
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.
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.
Build and maintain production ML pipelines for feature generation, model training, and monitoring using Python, PySpark, and Databricks.
Develop and integrate optimization logic for next-best-action selection and resource allocation in decisioning platforms.
Collaborate with engineering teams to support CI/CD, model versioning, and compliance in a regulated healthcare environment.
Humana is a leading U.S. healthcare company providing insurance and healthcare services to help people achieve their best health. With a large workforce, Humana is an equal opportunity employer that fosters a caring community 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.
Define clear business-value metrics alongside technical performance targets for engagements.
Lead technical scoping, feasibility assessments, and solution design for proposals and client pitches.
Design scalable, end-to-end ML pipelines spanning data analysis, model training, deployment, and MLOps.
Lovelytics helps complex enterprises modernize their data and put AI to work in production. It has grown from 85 to 500+ people across the Americas, maintaining a technically excellent, low-ego culture.
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.
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.
Own and evolve notebooks across the full medallion architecture, from raw ingestion through a fully modeled dimensional layer.
Design and implement dimensional modeling artifacts such as facts, dimensions, and slowly changing dimensions for downstream business intelligence.
Serve as the primary technical reference, reviewing pull requests, mentoring team members, and proposing architectural improvements.
CI&T helps large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, we foster a collaborative culture that accelerates innovation in Agentic SDLC, Application modernization, Data & AI, Martech, and Business strategy.
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.
Investigate, analyze, and integrate data from multiple sources to create reliable, consolidated sources of truth.
Build, maintain, and optimize automated data pipelines using technologies such as Databricks, Python, and PySpark.
Translate data into actionable insights that help stakeholders evaluate clinical, operational, financial, and member-related outcomes.
This is a remote opportunity to build and maintain data products that support healthcare programs and improve how care is delivered. The role is ideal for a creative, analytical problem solver who wants to apply technology and data to meaningful healthcare outcomes.
Partner with business stakeholders to translate needs into scalable data models and actionable insights.
Design, develop, and analyze data solutions to support decision-making across operations.
Build and maintain dashboards and reports with a focus on usability, performance, and accuracy.
EQT is a natural gas company that values transparent leadership and connected impact. With a focus on supported growth, we offer a collaborative environment where every voice is heard and your work drives business decisions.
Own the Airflow codebase end-to-end, building reusable templates and enforcing standards.
Build and extend large-scale Spark pipelines on AWS Glue and support migration to Databricks.
Drive data model improvements around commercial pharma data with focus on structure and lineage.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, it surpassed $3B in revenue and values doing the right thing, customer success, employee success, and speed.
Collaborate with Land Department teams to support data science initiatives and advanced analytics.
Conduct code reviews and maintain analytical solutions using SQL and Databricks.
Generate reports and visualizations to communicate data insights to stakeholders.
EQT is a natural gas production company focused on responsible energy development. The company fosters a collaborative culture with transparent leadership and opportunities for growth, employing thousands of professionals.
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.
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.
Architect and implement scalable cloud-native analytics platforms like Databricks and Snowflake.
Act as a hands-on bridge between business strategy and engineering teams, translating rules into code.
Design and automate decision engines that integrate multi-source retail and POS data for campaign measurement.
Avery Dennison is a global materials science and digital identification solutions company. With approximately 35,000 employees worldwide, it fosters a culture of curiosity and innovation.
Own core revenue KPIs and build predictive models to anticipate revenue outcomes and retention patterns.
Manage performance and growth analytics, including dashboards, incentive compensation, and quarterly planning.
Build and maintain data models in dbt, automate reporting, and ensure data quality across platforms.
Cherry is a fast-growing fintech company that provides a Buy Now, Pay Later solution for healthcare services. Founded in 2019 by Stanford entrepreneurs, the company is backed by investors including Kleiner Perkins and DCM.