Owns and evolves the enterprise data model across core corporate systems.
Establishes data standards, governance processes, and field-level mapping frameworks.
Partners with Data Engineering and Information Security to ensure data quality and compliance.
ConnectWise is a global software company that provides solutions for technology solution providers to manage their businesses and deliver amazing customer experiences. With over 3,000 colleagues worldwide, it fosters an inclusive, positive culture that values unique contributions.
Lead the architecture and scalability of a mission-critical data platform.
Establish data governance, quality standards, and Data-as-a-Product approach.
Mentor and grow a distributed data engineering team in a remote-first environment.
Our partner is a healthcare technology company focused on improving health outcomes through data-driven insights and AI. They have a remote-first culture and emphasize collaboration, innovation, and professional growth.
Design and build robust data pipelines and warehouse models using Snowflake and modern data engineering tools.
Migrate legacy SQL Server systems and ETL processes to a scalable cloud environment.
Ensure data security, reliability, and compliance for sensitive healthcare data.
This company is a partner organization focused on modernizing healthcare data infrastructure and analytics. It provides a collaborative, fully remote environment with significant individual ownership and a focus on scaling modern data technologies.
Define scalable architectures for enterprise data platforms across ingestion, storage, processing, governance, and consumption.
Establish technical standards for data modeling, security, reliability, and lifecycle management.
Mentor engineers and guide architectural direction while partnering with cross-functional teams.
The company is a technology organization focused on building enterprise data platforms. It fosters a culture of innovation and collaboration, with a focus on technical excellence.
Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
Lead the design and development of enterprise data architecture for an integrated care platform.
Architect scalable data platforms and leverage AI to enhance operational efficiency.
Establish data governance, integration patterns, and cloud-based solutions using Azure services.
Our client is an award-winning HealthTech IT services company providing digital health and AI development solutions for enterprises from startups to Fortune 20 companies. They have designed systems for over 100 companies, including Penn Medicine and Merck, and have won multiple awards like Fast Company World Changing Ideas and Daveys Gold.
Lead support of client’s Azure Data platform and Power BI environment, including escalations and incident resolution.
Consult and advise on solutions using Synapse, Data Factory, Databricks, Azure ML, and Power BI for data engineering and analytics.
Mentor junior team members and design data pipelines, models, and AI-driven solutions for clients across industries.
3Cloud is a cloud services company specializing in Microsoft Azure data and analytics solutions. They foster a culture of experimentation, direct feedback, and collective growth, with a focus on client success and teamwork.
Design and implement scalable data platforms using Snowflake, Databricks, and AWS.
Build AI-ready data architectures supporting analytics, ML, and LLM applications.
Establish data governance, security, and best practices while mentoring engineering teams.
The company is a partner organization that specializes in data and AI solutions. It operates with a remote-first culture and emphasizes collaboration and continuous learning.
Define and execute the long-term data strategy and architecture, ensuring scalable, reliable, and trusted data foundations.
Design, build, maintain, and optimize high-impact data pipelines connecting business systems, internal platforms, and data warehouses.
Lead a multidisciplinary Data organization spanning Data Engineering, Machine Learning Engineering, and Analytics, driving team growth and technical excellence.
This company is a fast-growing technology organization that leverages data and AI to drive innovation. It fosters a collaborative environment with a strong emphasis on growth, ownership, and technical excellence.
Own the end-to-end data platform architecture from source systems to serving, deciding where the stack consolidates.
Design the path for order data as it moves off the legacy monolith onto a new source of truth.
Bring real modeling rigor and a single semantic layer for core metrics like revenue, conversion, and retention.
Owner is an AI-native platform that helps local business owners, starting with restaurants, run their operations including website, online ordering, CRM, and POS. The company has a team of low hundreds and fosters a remote-first, global culture.
Architect and own the data platform end to end, including pipeline orchestration, dbt project, and warehouse infrastructure for peak performance and reliability.
Mentor and scale a high-performing distributed data engineering team, driving technical excellence through rigorous design reviews and architectural discipline.
Partner strategically across the business to translate ambiguous needs into scalable solutions, fixing classes of problems rather than individual instances.
Foodsmart is a leading telenutrition and foodcare solution backed by a network of Registered Dietitians, designed to foster healthier food choices and drive lasting behavior change. With over 2.2 million members and a $200 million investment from TPG's Rise Fund in 2024, the company values customer focus, urgency, and collaboration.
Support deployment of scalable infrastructure and tooling (e.g., Snowflake, dbt, AWS, Sigma) to support analytics and reporting.
Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights.
Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance.
Daymark Health is a value-based oncology company redefining the cancer care experience for patients, providers, and health plans. The company is backed by several venture firms and led by CEO Dr. Justin Bekelman, a pioneer in transforming cancer care.
Design, develop, and maintain scalable data models for enterprise reporting and analytics.
Build and optimize ETL/ELT pipelines using modern data transformation frameworks like DBT.
Partner with business stakeholders to translate needs into scalable analytical solutions.
Agilon health is a healthcare company focused on transforming the delivery of care for Medicare Advantage and value-based care models. The company fosters a collaborative culture with a passion for improving healthcare through data and analytics.
Design and maintain the enterprise data architecture roadmap, aligning data strategy with business priorities and technology goals.
Lead the evolution of data platforms including warehouse and lake-house architecture, and champion a Data Mesh strategy for domain-oriented data ownership.
Provide technical mentorship and strategic advisory across data initiatives, ensuring architectural soundness and alignment with enterprise standards.
Lifeway exists to serve the church by making disciples of Jesus Christ through resources and services. The company fosters a remote-first culture with a strong mission focus and offers comprehensive benefits to full-time employees.
Design and operate production-grade data pipelines for healthcare, identity, and campaign datasets using Python, SQL, Airflow, and Snowflake.
Implement maintainable data models and governed views for provider, claims, and audience data, ensuring privacy-by-design for PHI/PII.
Partner with product, analytics, and data science teams to translate business requirements into resilient technical solutions that power audience discovery and measurement.
Zeta Global is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence and trillions of consumer signals to make marketing simpler. Founded in 2007 with offices worldwide, the company fosters a culture of trust and belonging, offering equity and wellness benefits to its employees.
Shape the company's data landscape through architecture and modelling across multiple value streams.
Collaborate with product, engineering, and analytics teams to design and govern data architectures.
Define data standards, integration patterns, and governance policies for reliable and scalable data solutions.
Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group, providing IT and telecommunications services to hundreds of large customers in Germany and Europe. With over 5,300 employees, the company operates in Budapest, Debrecen, Pécs, and Szeged, and has been recognized as Hungary's most attractive employer in 2025.
Design and execute the enterprise data architecture strategy for commercial growth.
Oversee data pipelines, ERP data models, and integration of internal and third-party data.
Serve as design authority for commercial-data initiatives, translating priorities into roadmaps.
REGENXBIO is a biotechnology company focused on developing AAV gene therapies for patients. They have an exceptional team and core values of Trust, Accountability, Perseverance, and Innovation.
Administer and maintain the Snowflake platform including databases, roles, and performance optimization.
Implement security, automation, and governance standards across AWS cloud environments.
Collaborate with data engineering and security teams to deliver a scalable cloud data platform.
Empower is a financial services company focused on transforming financial lives. They offer a flexible work environment and career paths, with associates volunteering thousands of hours for community causes.
Design, develop, and maintain scalable ETL/ELT pipelines using modern data integration tools.
Build and optimize data models in Snowflake for analytics and operational reporting.
Collaborate with business stakeholders to translate requirements into scalable data solutions.
Oowlish is a rapidly expanding software development company based in Latin America, collaborating with premier clients from the United States and Europe on pioneering digital solutions. Certified as a Great Place to Work, we offer remote work and a nurturing environment with opportunities for professional development and international impact.