Own the end-to-end migration workflow for new customers.
Design mapping strategies to transform competitor data into our unified schema.
Build and maintain migration tooling (scripts, internal apps, reusable templates).
Monument is creating a vertical software platform for the self-storage industry, aiming to revolutionize a $30 billion market. They offer a B2B SaaS platform tailored for self-storage businesses, integrating essential features from customer acquisition to advanced reporting.
Leverage data tools to deliver superior service to clients.
Conduct data analysis to understand customer needs.
Partner with customers in interpreting data and remediating issues.
They connect job seekers with companies using an AI-powered matching process. They ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms
Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns
Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices
AOT Technologies helps enterprises and governments bring their ideas to life. As a boutique consulting firm, they partner with enterprises, startups, and governments to solve complex, mission-critical challenges. Their teams are collaborative and their leadership is transparent.
Build pipelines to load data from various systems into Dataiku via S3 or Snowflake.
Increase the robustness of existing production pipelines, identify bottlenecks, and set up a robust monitoring, testing processes, and documentation templates.
Build custom applications and integrations to automate manual tasks related to customer operations to help Product Operations / Support / SRE in their day-to-day activities
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
Architect, implement, and maintain scalable data architectures.
Develop, optimize, and maintain ETL processes.
Optimize data processing and query performance.
Blueprint Technologies is a technology solutions firm that helps organizations unlock value from existing assets by leveraging cutting-edge technology. Their teams have unique perspectives and years of experience across multiple industries. They believe in unique perspectives and build teams of people with diverse skillsets and backgrounds.
Help build scalable data solutions and streamline data ingestion.
Maintain high-quality databases that support our scientific and operational teams.
Optimize our data infrastructure to ensure efficient data access.
Funga is a public benefit corporation addressing the climate crisis by harnessing forest fungal networks. They are a team of passionate scientists and builders working to draw down at least three gigatons of carbon dioxide from the atmosphere by 2050.
Works as a positive team member to deliver quality applications and components within scope.
Leads and proactively identifies emerging technologies and promotes their usage.
Develops strategies for managing complex data sets through maintaining data standards and metadata.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. They welcome candidates who can contribute to the excellence of their academic community.
Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments.
Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies
Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations
Defense Unicorns delivers mission value by streamlining software delivery so their customers can focus on the most important challenges. Their team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market.
Communicate with business stakeholders to understand goals and translate them into robust ML/AI models to improve clinical outcomes for children.
Work with Data Science and other cross functional teams to define requirements, optimize data collection, build data assets, and deliver insights on business strategy and patient care
Develop ML models incorporating clinical, claims, and social determinants of health (SDoH) data to drive actionable recommendations
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs. They deliver 24/7 virtual-first and in-home medical, behavioral, and social care, working alongside families, providers, and health plans.
Design Scalable Data Architecture: Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI.
End-to-End Data Ownership: Manage ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic makes smartphones affordable, enabling global access to devices and digital finance through secure smartphone locking technology. They partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions. The company celebrates its diversity and is looking to do the right thing: for each other, the community and the planet.