Manage and support a team of 6 Data Engineers, helping them focus on impactful technical initiatives as the platform scales.
Drive execution excellence, ensuring the team delivers with high velocity, quality, and reliability.
Foster a healthy and sustainable team environment by helping the team manage workload and focus on meaningful engineering work.
Bluefish believes that AI represents the next major chapter of the internet and that consumers will increasingly use AI to consume information and media online. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.
Help extract data from legacy POS systems, serving as the bridge between old technology and modern platform.
Build tools to transform and validate data to ensure all fields meet requirements and accuracy standards.
Find ways through automation, AI, and other tools to streamline and optimize the onboarding process
Scotch modernizes the beverage alcohol market by building the next-generation operating system for BevAlc retailers, including POS, payments, Back Office, and E-commerce. They are a lean and efficient team but growing quickly.
Create and maintain optimal data pipeline architecture
Extend our machine learning platform by designing tools that interface with cloud services
Build the infrastructure required for optimal extraction, transformation, and loading of data
NinjaHoldings aims to revolutionize how Americans interact with financial services. They have a lean and innovative team that empowers people overlooked by traditional financial institutions through digital banking and lending products.
Architect and standardize streaming and batch pipelines, ensuring reliability, fault tolerance, and scalability.
Own the architecture and evolution of the Data Lakehouse, ensuring consistency between research (offline) and live trading (online) environments.
Define and own the end-to-end architecture for the market data platform, covering ingestion, processing, storage, distribution, and access.
BHFT is a proprietary algorithmic trading firm managing the full trading lifecycle — from software development to designing and deploying trading strategies. As they expand into new markets and products, they foster a results-driven culture built on innovation, collaboration, and continuous improvement, supported by a globally distributed, remote-friendly team. They are a 230-person company with a strong technology focus, where 70% of the team are engineers and technical specialists.
Act as a trusted business advisor to the Core Service team, proactively identifying trends and driving efficiency improvements
Own the design of dashboards, metrics, and reports, turning data into actionable insights for the fraud, funding, risk and support experience teams
Dive into large, complex datasets/logs to turn your findings into scalable data models necessary to facilitate reporting, analytics and ML models
Kraken is committed to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. It is a fully remote company with Krakenites in 70+ countries who speak over 50 languages.
Lead complex financial pipeline builds: Design and develop scalable data pipelines supporting banking processes, from scoping through delivery
Collaborate cross-functionally: Partner with Credit, Payment Operations, Tech, Security, Risk, and Finance teams to define data requirements
Build credit reporting infrastructure: Create reliable, performant operational data models that power internal and external reporting, audits, and money movements.
KOHO is on a mission to make financial services better for every Canadian. They offer financial products designed to help users spend smart, save more, and build real wealth. They are a performance organization with a strong heart that values clarity, ownership, and bold thinking.
Be responsible for the monitoring and management of the end to end data flow of data submissions to vendors and government agencies to mitigate data leakage and submission errors.
Own the claim and supplemental submission workflow for CMS EDS submissions.
Develop data pipeline tracking reports and analyze, research, and resolve encounter data errors.
Clover Health is reinventing health insurance by combining data with human empathy to keep members healthier. They've created custom software and analytics to empower their clinical staff to intervene and provide personalized care to the people who need it most. They are passionate and mission-driven individuals with diverse areas of expertise. From Clover’s inception, Diversity & Inclusion have always been key to their success.
Lead teams of software engineers to create market-leading solutions.
Recruit, develop, and retain high-performing engineering talent.
Collaborate with senior leaders to shape the vision and strategy.
Jobgether is a company that uses AI to help with hiring and matching candidates with jobs. They use an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Support the development and maintenance of secure, scalable data systems that enable clinical, operational, and financial analytics in a HIPAA‑regulated environment.
Contribute to building and operating data pipelines that ingest, transform, and standardize data from internal and external healthcare sources such as EHRs, claims vendors, and SDOH APIs.
Work closely with analysts and business stakeholders to understand requirements and help create reliable, analytics‑ready datasets and basic data models.
Habitat Health provides personalized, coordinated clinical and social care as well as health plan coverage through the Program of All-Inclusive Care for the Elderly (“PACE”) in collaboration with healthcare partners, including Kaiser Permanente. They aim to enable older adults to experience an independent and joyful aging journey, and are growing to support this mission.
Own data platform health and pipeline performance with defined SLAs.
Implement modern data observability for volume anomalies and pipeline failures.
Provide technical leadership for customer data integrations.
Ostro transforms how life sciences connect with the people who need their innovations most. As the leader in AI-powered omnichannel engagement for life sciences, Ostro is trusted by a majority of the world’s top 20 pharmaceutical companies.