Administer and optimize Azure Databricks workspaces, clusters, SQL warehouses, and governance controls.
Enforce security standards including Unity Catalog permissions, RBAC, least-privilege access, and audit readiness.
Partner with data engineering and security teams to ensure reliable, cost-efficient, and well-governed platform operations.
BHG Financial provides innovative financial solutions and lending services to high-earning professionals, small businesses, and institutions. The company has an award-winning culture and is Great Place to Work® certified, prioritizing employee growth and teamwork.
Define Azure Databricks landing zone architecture, workspace topology, and Unity Catalog governance standards.
Implement secure lakehouse patterns for identity, networking, data protection, and audit logging.
Drive enablement through CI/CD pipelines, FinOps practices, and reusable accelerators for analytics teams.
Planned Systems International (PSI) is a technology solutions company that delivers enterprise data platforms, cloud infrastructure, and analytics services. With a focus on professional growth and inclusion, PSI offers competitive benefits, certification support, and a collaborative culture.
Design and implement scalable Lakehouse and Delta Lake architectures across cloud and multi-cloud environments.
Develop and optimize ETL/ELT pipelines using Apache Spark, Structured Streaming, and Unity Catalog for governance.
Advise clients on Databricks best practices and support platform modernization and migration projects.
Devoteam is a tech consulting company that helps organizations modernize data architectures and accelerate digital transformation using the Databricks Data Intelligence Platform. As a large global company with thousands of employees, we foster a collaborative culture focused on innovation, autonomy, and customer success.
Build, operate, and optimize robust data pipelines in Databricks (Python, SQL) using the Medallion Architecture.
Manage governance, access rights, and data lineage with Unity Catalog and deliver data via Power BI dashboards and Genie.
Automate deployments with Terraform and CI/CD pipelines, and leverage AI coding assistants like Claude Code or GitHub Copilot.
We are an agile IT software house with around 80 colleagues. We develop software solutions for industry and smart factory, from IoT platforms to agentic AI, turning complex industrial data into practical value.
Lead migration of legacy SQL Server and ADF pipelines to Databricks Lakehouse, designing Bronze, Silver, and Gold layers.
Build scalable ETL/ELT frameworks using PySpark, Delta Live Tables, and Databricks Workflows, optimizing for Power BI.
Establish governance, security, and cost optimization standards, including Unity Catalog and monitoring dashboards.
Tier One Technologies is a technology services provider delivering data engineering, cloud migration, and consulting solutions to US Government clients. The company fosters a collaborative, detail-oriented culture focused on technical excellence and knowledge transfer.
Implement and improve preventive security controls across enterprise systems, translating security requirements into operational protections.
Build and maintain security automation using Python, Go, APIs, and Terraform to enforce controls and reduce manual work.
Partner with security, IT, and platform teams to validate controls, troubleshoot complex implementations, and drive security improvements.
Databricks is the data and AI company, providing a unified platform to build and scale data and AI applications, analytics, and agents. With 20,000+ organizations worldwide and offices in 30+ locations, it fosters a diverse and inclusive culture.
Design, develop, and evolve scalable data solutions within cloud environments using Databricks.
Build and optimize data pipelines for large-scale processing with Python, PySpark/Spark, SQL, and Delta Lake.
Apply best practices in data governance, performance, and orchestration while working autonomously with data teams.
The hiring company specializes in data engineering and cloud-based solutions, using Databricks and modern data technologies to build scalable data platforms. It fosters a collaborative culture with continuous learning, innovation, and autonomy for its employees.
Design and implement modern data platforms using Microsoft Fabric and Databricks, including lakehouse architectures and ELT/ETL pipelines.
Develop and maintain semantic models for performant reporting and self-service analytics, partnering with business teams.
Collaborate with clients and cross-functional teams to translate business requirements into scalable technical solutions.
Collectiv is a boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft Data Stack. Their culture emphasizes growth mindset, humility, active communication, and a focus on helping enterprises make better decisions.
Own the end-to-end Databricks data lake, dbt models, medallion layers, and data quality monitoring.
Build AI data infrastructure including embedding pipelines, vector stores, and feature stores.
Develop and maintain cloud databases, optimize analytics dashboards, and collaborate with cross-functional teams.
Quandri builds an AI operating system to transform insurance for North American agencies and brokerages. The company is a fast-growing startup recognized by LinkedIn and Deloitte, with a culture centered on ownership, curiosity, and execution.
Design and build Databricks lakehouse pipelines using PySpark, Spark SQL, and Delta Lake.
Collaborate with frontend, architecture, and clinical teams on APIs and data ingestion.
Ensure GxP, 21 CFR Part 11, HIPAA, and GDPR compliance while optimizing Spark and Delta Lake.
Muttdata builds innovative Data Products and Machine Learning solutions for complex business challenges. They are a fast-growing, remote-first startup with a collaborative, ownership-driven culture that values continuous learning.
Design and build production-grade analytical data models using dbt and Databricks, focusing on scalable Gold-layer architectures.
Develop semantic models and reusable data products that provide consistent metrics for consumption through Tableau and other BI tools.
Automate data workflows with Python and SQL, applying software engineering practices like Git and CI/CD.
NationsBenefits is a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions for managed care organizations. The company is recognized as one of the fastest-growing in America, with a collaborative culture and offices in the US, South America, and India.
Collaborate with sales and field engineering teams to accelerate adoption and growth of the Databricks platform.
Serve as the post-sale technical lead, driving onboarding, enablement, go-live, and healthy consumption for strategic accounts.
Manage executive relationships and create execution plans to maximize customer ROI across Data and AI use cases.
Databricks is the Data and AI company, providing a unified platform for data engineering, analytics, and AI. With more than 20,000 organizations worldwide and 30+ offices, Databricks offers a collaborative and inclusive culture with comprehensive benefits.
Lead the design and implementation of scalable data architectures for member communications, defining data models, contracts, and lineage.
Build and optimize production-grade data pipelines using Databricks, Apache Spark, PySpark, and SQL, ensuring reliability and performance.
Establish data-quality and governance practices, and partner with Privacy, Compliance, and Risk teams to manage sensitive member data securely.
Oportun is a mission-driven financial services company that provides responsible credit and savings to help members build a better financial future. Since inception, it has provided over $22.7 billion in credit and saved members more than $2.5 billion in interest and fees, reflecting a culture focused on impact and innovation.
Design, build, and maintain robust ETL/ELT pipelines for analytics and reporting on AWS and Databricks.
Develop data processing workflows using Python, SQL, and PySpark within Delta Lake lakehouse environments.
Collaborate with architects and analysts to define data integration standards, optimize performance, and support governance.
Attain Talent is a recruitment and staffing firm that places skilled professionals with organizations like the Centers for Medicare & Medicaid Services (CMS). They focus on fair compensation, comprehensive benefits, and professional development opportunities for their employees.
Design and implement enterprise-scale federated architectures integrating Palantir Foundry and Databricks.
Establish standards for data sharing, define architecture patterns, and lead modernization of legacy ETL.
Lead architecture reviews, support AI/ML workloads, and act as technical authority for enterprise data platform.
GoFasti is a Talent-as-a-Service company that connects world-class developers and designers from Latin America with global companies. They focus on making remote work remarkable, offering a supportive culture that values learning and improvement.
Lead migration of the data platform to a modern Databricks lakehouse built on dbt, replacing legacy systems.
Build ELT pipelines with Databricks, dbt, and Fivetran to deliver curated, AI-ready datasets.
Mentor engineers, set technical standards, and partner with data science and AI teams.
Buildertrend is a leading residential construction management platform that helps contractors control financials, schedules, workflows, and client relationships in one system. With nearly two decades of industry expertise, the company fosters a culture of work-life balance and personal growth.
Administer and maintain all AWS cloud environments for the WARP permitting platform, ensuring availability, performance, and security.
Manage AWS Marketplace subscriptions, monitor environment health with CloudWatch, and coordinate with AWS support.
Enforce security controls, manage user access, and maintain FedRAMP, FISMA, and NIST compliance.
Peraton is a next-generation national security company delivering mission-critical solutions to protect the nation and allies. It is a large enterprise serving government agencies and the U.S. armed forces, with employees solving the most daunting challenges for customers.
Design and build scalable cloud-based data platforms and pipelines in AWS or Azure/Fabric with Databricks.
Enable data pipelines for AI, GenAI, and analytics, including batch and streaming processing.
Collaborate with data scientists and business teams to shape requirements and deliver production-grade data solutions.
Valtech is an experience innovation company that helps brands unlock new value through data, AI, creativity, and technology. They foster a values-driven culture with an emphasis on inclusion, diversity, and professional growth.
Own the AI research data platform: ingestion, preprocessing, governance, and export of high-volume media data.
Scale Databricks lakehouse and distributed processing, making build-vs-buy decisions as data grows.
Build reusable synthetic data infrastructure and own pipeline reliability, observability, and cost.
Reality Defender detects deepfakes and AI-generated media for enterprises and governments using a patented multi-model platform. A lean, well-funded startup backed by top-tier investors, it protects against malicious AI content.
Own relational and lakehouse data for a higher-education platform's program, student, and enrollment data.
Design schemas, stored procedures, and performance tuning across SQL Server and Databricks.
Implement data governance with Unity Catalog, quality checks, and CI/CD for database changes.
CI&T helps large enterprises turn AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated solutions. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.