Develop, implement, and sustain a comprehensive data quality framework to systematically monitor, validate, and enhance data accuracy and consistency throughout all systems.
Operationalize the enterprise data governance framework, aligning with stakeholder needs related to data quality, access controls, compliance, privacy, and security.
Partner with data engineers, architects, product teams, and analysts to define data quality requirements and ensure alignment with business objectives.
Abacus Insights aims to unlock the power of data so health plans can enable the right care at the right time—making life better for millions of people. They are backed by $100M from top VCs, and tackle big challenges in an industry that’s ready for change, mastering turning complex healthcare data into clear, actionable insights.
Administer and maintain the Atlan Data Catalog, including user onboarding, role/permission configuration, data asset management, and integration with source systems.
Design, Implement, and continuously evolve Kapitus’s Atlan metamodel (custom asset types, custom properties, relationship models, classification taxonomy, business glossary structure, and propagation/lineage rules).
Partner with Data Engineering, Analytics, Product, and business data stewards to ingest and curate technical and business metadata, ensuring accuracy, completeness, and alignment with governance standards.
Kapitus is a reliable and respected name in small business financing. They provide small businesses with the financing they need by being both a direct lender and a marketplace built with a trusted network of lending partners. The company is fast paced, and teammates need to be self-directed.
Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state
Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps
Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met
CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients.
Develop and implement data classification standards for sensitive data.
Design and maintain enterprise data models for reporting and analytics.
Support data quality and integrity across integrated source systems.
Jobgether is a platform that connects job seekers with employers using AI-powered matching. They focus on ensuring applications are reviewed quickly and fairly, providing a shortlist of top candidates to hiring companies.
Own and evolve the Finance data governance operating model to drive consistent practices.
Manage and improve governance bodies and represent Finance in enterprise forums.
Govern and improve the end-to-end data change management process to minimize risk.
Liberty Mutual strives to create a workplace where everyone feels valued and supported. They welcome diverse perspectives and experiences, fostering inclusion in their culture and everyday interactions.
Support metadata and catalog initiatives, including column-level tagging, dataset documentation, and ownership attribution
Contribute to data lineage and governance practices, helping improve audit readiness and visibility across pipelines and products
Support and maintain Airflow DAGs, including simple pipeline changes, operational fixes, and automation tasks
Kraken is a mission-focused company rooted in crypto values. They aim to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. They are a fully remote company with Krakenites in 70+ countries.
Drive strategic and operational excellence across all data quality initiatives within the organization.
Oversee a dedicated team, focusing on enhancing data quality programs and integrating advanced technologies.
Collaborate with various stakeholders, promoting innovative solutions within the legal sector.
Jobgether is a company that uses an AI-powered matching process to ensure candidate applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and the shortlist is then shared directly with the hiring company.
Own company-wide data management and governance practices.
Partner with Data Engineering and Product teams to support data pipelines.
Work closely with Operations, Finance, Risk & Compliance, Product, Trust & Safety, and Customer Support teams.
Muvr is a technology-enabled logistics and mobility platform connecting customers with on-demand moving, delivery, and hauling services. As they scale across markets, high-quality, reliable data is critical to operational efficiency, decision-making, and regulatory compliance.
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.
Emory University is a leading research university fostering excellence and attracting world-class talent. They focus on innovation and preparing leaders for the future, welcoming candidates who contribute to their academic community's excellence.
Lead the end-to-end data architecture, designing and implementing data pipelines, warehouses, and lakes that handle petabyte-scale datasets.
Collaborate with product teams to enable data-driven decision-making across the organization.
Establish best practices for data quality, governance, and security while mentoring senior engineers and conducting technical reviews.
Cority is a global enterprise EHS software provider creating industry-leading technology. They have been around for over 35 years and are known for strong employee culture and client satisfaction.
Re-architect the data warehouse and drive the expansion of our data platform.
Migrate data pipelines to a modern architecture, improving governance, and enabling better internal data sharing.
Lead a high-performing data engineering team by driving collaboration, growth, and accountability.
Engine is transforming business travel into something personalized, rewarding, and simple. They are building a platform that brings together corporate travel, a charge card, and modern spend management in one place and more than 20,000 companies already rely on Engine. Engine is cash flow positive with rapid growth and has been recognized as one of the fastest-growing travel and fintech platforms in North America.
Own data strategy and execution for a portfolio of client deliverables within new sectors.
Serve as a subject-matter expert for emerging sector data, partnering with GTMl teams on client conversations.
Investigate and resolve data quality issues and implementing scalable fixes.
YipitData is a market research and analytics firm for the disruptive economy. They analyze billions of alternative data points to uncover actionable insights across sectors. YipitData operates globally with offices in the US and APAC and has a people-centric culture.
Write and ship a lot of code, working with analysts and stakeholders to refine requirements and debug data sets.
Drive architectural decisions and thoughtfully balance trade-offs in system design, leading cross-functional data initiatives.
Champion high standards in data quality, security, and discoverability, translating complex technical challenges into clear solutions.
EzCater is a technology company that connects workplaces with over 100,000 restaurants nationwide, providing solutions for employee meals and meetings. They are backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille and value work/life harmony.
Design and manage a modular data layer architecture.
Develop and optimize ETL pipelines for real-time and batch processing.
Implement metadata management solutions to improve lineage tracking.
NV5 Geospatial is a global technology solutions and consulting services company. They have a workforce of over 4,500 professionals in more than 100 offices worldwide that brings together talent across a wide range of markets and fields.
Define strategic roadmaps and outcomes for clients.
Act as a data engineering SME for upcoming engagements.
Oversee the development and implementation of data standards.
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring employer; the final decision and next steps are managed by their internal team.
Design and implement scalable, performant data models.
Develop and optimize processes to improve the correctness of 3rd party data.
Implement data quality principles to raise the bar for reliability of data.
SmithRx is a venture-backed Health-Tech company disrupting the Pharmacy Benefit Management (PBM) sector with a next-generation drug acquisition platform. They have a mission-driven and collaborative culture that inspires employees to transform the U.S. healthcare system.
Design, develop, and maintain reliable end-to-end data pipelines that connect internal and external systems.
Contribute to the performance, scalability, and reliability of our entire data ecosystem.
Work with analysts to engineer data structures and orchestrate workflows that encode core business logic.
Roo is on a mission to empower animal healthcare professionals with opportunities to earn more and achieve greater flexibility in their careers and personal lives. Powered by groundbreaking technology, Roo has built the industry-leading veterinary staffing platform, connecting Veterinarians, Technicians, and Assistants with animal hospitals for relief work and hiring opportunities.
Architect and develop cloud-native data platforms, focusing on modern data warehousing, transformation, and orchestration frameworks.
Design scalable data pipelines and models, ensure data quality and observability, and contribute to backend services and infrastructure supporting data-driven features.
Collaborate across multiple teams, influence architectural decisions, mentor engineers, and implement best practices for CI/CD and pipeline delivery.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Define the modern cloud-based data architecture, owning key architectural decisions.
Architect and operationalize Medallion data models ensuring governance and reusability.
Design, develop, and deploy modern data warehouse and Lakehouse solutions.
Kinaxis is a tech company that provides supply chain management solutions. They have grown to a global organization with over 2000 employees and are recognized as one of Canada’s Top Employers, fostering a culture of innovation and collaboration.