Work directly with business and technical stakeholders to identify high-value data and AI use cases that can be delivered on Databricks
Design, build, and deploy production-grade data and AI solutions using Databricks capabilities across the Lakehouse, Mosaic AI, Unity Catalog, Databricks SQL, Workflows, Delta Lake, Databricks Apps, Genie, Agents, and Lakebase
Lead client discovery sessions to understand business workflows, data availability, platform maturity, integration needs, and measurable success criteria
Aimpoint Digital is a market-leading data, AI, and operations research advisory and solution engineering firm. They help organizations build modern data platforms, enterprise AI systems, decision intelligence solutions, optimization models, and production analytics capabilities.
Builds and modernizes data pipelines and integrations to improve processing efficiency.
Engineers data and analytics components and improves reliability/performance.
Supports testing, documentation, and O&M transition materials.
DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. With a focus on end-to-end managed IT services, the company supports public sector agencies and commercial enterprises around the globe.
Design, build, and own scalable data pipelines and systems that power analytics, machine learning, and business operations.
Drive system design for data architecture, owning data models and storage solutions to create scalable foundations for the team.
Collaborate with engineering, product, and data teams to translate business needs into technical solutions, ensuring data quality and performance standards.
Goodway Group is a remote-first, data-driven, and technology-enabled digital media and marketing services firm with a 90+ year history, offering the security of an established company with a start-up feel. It is a diverse team of strategists, practitioners, technologists, and data scientists that is recognized as a top workplace and a certified partner to The Trade Desk.
Build and maintain reliable data pipelines and datasets that enable critical product models for demand forecasting and analytics.
Evolve the data platform by assessing current architecture and driving pragmatic improvements in tooling and operating practices.
Implement testing, lineage definitions, and guardrails to ensure data quality and trust for stakeholders across delivery, billing, and reporting.
Enode provides the software infrastructure layer that connects and orchestrates grid-scale renewable energy devices like EVs, heat pumps, and batteries for energy companies, utilities, and traders. It's an early-stage, mission-driven climate tech startup backed by notable investors, operating with a high-drive, human-first culture.
Own the analytics data architecture and warehouse, modeling data for company-wide reporting and decisions.
Build and maintain Python data jobs on AWS and SQL/dbt models, ensuring data quality and system reliability.
Partner cross-functionally with engineering and business teams to guide data solutions and provide technical leadership.
Extend provides merchants with an AI-driven post-purchase platform for automated customer service, returns, fulfillment, and product protection to increase satisfaction and revenue. It is a venture-backed startup with over 1,000 merchant partners and a collaborative culture based in San Francisco.
Design and manage large-scale AI-augmented data pipelines integrating ML models.
Own systems for remote ML model inference orchestration and serve vector embeddings.
Source, filter, and curate training datasets while ensuring governance and compliance.
Columbia General operates at the forefront of generative AI technology, creating solutions that enhance capabilities on a global scale. They foster a collaborative and innovative work culture, with a focus on leveraging cutting-edge tools.
Design and maintain scalable, production-grade data pipelines across cloud platforms (e.g., AWS Redshift, S3, MWAA/Airflow) to power analytics, AI/ML use cases, and business-critical reporting.
Partner with Data Science and analytics teams to operationalize data for AI use cases, including building feature pipelines and providing model inputs, while applying AI-assisted development tools to improve productivity.
Build and support a data warehouse using Python to process structured and unstructured data, contribute to data standards and reusable frameworks, and participate in production support and on-call rotations.
Experian is a global data services company helping organizations and consumers manage risk and make informed decisions, empowering them at key moments like buying a home or growing a business. With over 125 years of experience, our team of 21,700 employees across 30 countries is dedicated to innovation, fraud prevention, and fostering an inclusive culture focused on employee well-being and development.
Partner across the business to identify improvements and influence decisions using data analytics methodologies and tools.
Act as the data owner for Finance functions, including accounting, tax, strategic finance, and profitability, building production-quality data products and dashboards.
Drive incremental improvements in contribution margin by deeply understanding business drivers and analyzing cross-functional initiatives.
Whatnot is the largest livestream shopping platform in North America and Europe, enabling users to buy, sell, and discover items across diverse categories like trading cards, fashion, and electronics. It is a fast-growing, remote-first marketplace company recognized as a top startup employer, with teams located in major hubs and a culture focused on speed, user proximity, and impactful work.
Lead and develop a team of AI data engineers, setting technical standards and scaling the function.
Design and build the end-to-end AI data platform on AWS, from data sourcing to training-ready datasets, ensuring reliability and security.
Own data governance, versioning, lineage, and GDPR compliance for AI training data in collaboration with legal and domain experts.
Ideagen provides critical software that ensures safety and compliance in high-stakes industries like aviation, healthcare, and food safety. It is a global company with offices worldwide and fosters a future-ready, curious, and adaptable culture where AI is integrated to improve work.
Partner with Product, Engineering, and Business Operations teams to establish analytics best practices and bring product metrics to decision-making.
Own and optimize the end-to-end processing through the data validation pipeline, a hybrid data science, data engineering, and analytics workstream.
Develop repeatable frameworks for measuring feature impact and automating product metric tracking to enable data-driven decisions.
Nova Credit builds a unified platform for credit and financial data to power financial inclusion globally. It fosters a dynamic, inclusive environment valuing diversity, intellectual honesty, and innovation, committed to supporting professional growth.