Build and maintain batch data pipelines ingesting from Workday and legacy systems into a medallion lakehouse on Azure Databricks and Microsoft Fabric.
Develop transformation logic across Bronze/Silver/Gold layers using Spark, Python, and SQL, and implement data-quality checks.
Work within a federated architecture and Unity Catalog security model, contributing to documentation and code reviews.
CampusWorks is a consulting firm that helps higher education institutions leverage technology and managed services to drive transformation and student success. Founded in 1999, it is a large, virtual company with a culture that values work-life balance and employee appreciation.
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.
Design and maintain scalable batch and near real-time data pipelines in Databricks, integrating data from various sources.
Build unified customer profiles and support identity resolution, deduplication, enrichment, and Golden Record creation.
Enable CRM and marketing teams to access trusted, activation-ready customer data with minimal latency.
Massive Rocket is a rapidly scaling Braze and Snowflake agency that transforms how digital marketing, product, and engineering teams connect. They have grown quickly in five years and are aiming for $100M in revenue, with a culture of ownership, collaboration, and growth.
Design and build scalable data pipelines to ingest, transform, and curate data from various sources.
Develop and optimize advanced data models to support analytics and business intelligence.
Champion SDLC best practices and infrastructure automation using CI/CD and Infrastructure as Code.
Resilient Co. is a technology company that builds data platforms to enable data-driven decisions. The company fosters a culture of collaboration and technical excellence with a team of experienced engineers.
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.