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.
Deliver high-quality data sets by curating, consolidating, and manipulating large-scale data sources.
Build high-quality data pipelines and ETL processes on platforms like Snowflake and BigQuery.
Partner with analytics, data science, and machine learning teams to provide data solutions.
Tripadvisor connects people to experiences worth sharing, aiming to be the world's most trusted source for travel. With over 500 million reviews and 390 million monthly visitors, the company is data-driven and offers a unique, global work environment that captures the speed and innovation of a startup.
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.
Build and maintain data pipelines in Snowflake and dbt to support reliable, auditable reconciliation between internal and external systems.
Own and improve data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners.
Partner closely with Accounting, Engineering, Operations, and Reporting to align and reconcile internal and external financial data.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing AI-driven solutions that enhance customer satisfaction and drive revenue growth. They work with over 1,000 leading merchants across industries, are backed by prominent investors, and are headquartered in San Francisco.
Design and implement ETL pipelines using Apache Airflow, BigQuery, Python, and Spark to transform upstream data into curated data assets.
Provide technical leadership and best practices, mentoring other engineers and driving architecture decisions for high-performance systems.
Collaborate cross-functionally with Product Managers and end users to define key business questions and build relevant data sets.
InMarket is a leader in 360-degree consumer intelligence and real-time activation for top brands, offering a data-driven marketing platform. The company has a strong focus on technology and culture, with a commitment to diversity, equity, and inclusion, and offers competitive compensation and benefits.
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.
Design, build, and own custom data pipelines that integrate source systems with the data warehouse.
Develop and operate Airflow DAGs for scheduled and event-driven workflows, ensuring reliable data processing.
Build dbt models and governed semantic layers that provide trusted data for analysts, applications, and AI tools.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It is a fast-growing company that uses technology to streamline recruitment and offers a high-trust remote environment.
Architect and implement scalable cloud-native analytics platforms like Databricks and Snowflake.
Act as a hands-on bridge between business strategy and engineering teams, translating rules into code.
Design and automate decision engines that integrate multi-source retail and POS data for campaign measurement.
Avery Dennison is a global materials science and digital identification solutions company. With approximately 35,000 employees worldwide, it fosters a culture of curiosity and innovation.
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.
Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.
Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.
CI&T helps large enterprises transform AI potential into business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
Build and maintain batch data pipelines ingesting from Workday and legacy systems into a medallion lakehouse on Azure Databricks and Microsoft Fabric.
Develop transformation logic across Bronze/Silver/Gold layers using Spark, Python, and SQL, and implement data-quality checks.
Work within a federated architecture and Unity Catalog security model, contributing to documentation and code reviews.
CampusWorks is a consulting firm that helps higher education institutions leverage technology and managed services to drive transformation and student success. Founded in 1999, it is a large, virtual company with a culture that values work-life balance and employee appreciation.
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.
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.
Design, develop, and optimize enterprise ETL/ELT pipelines using Azure Data Factory and serverless technologies.
Build and optimize complex Azure T-SQL solutions and develop automation frameworks with Python and API orchestration.
Own production pipeline reliability, enforce coding standards, and partner with US onshore leadership to translate business needs into technical solutions.
We are WPP Media, WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. We are a global collective with a culture of respect, belonging, and growth opportunities.
Build and maintain internal tooling for the data team, including CLIs, automation scripts, and observability dashboards.
Define and manage Snowflake infrastructure as code via Terraform, ensuring performance and security.
Own data quality frameworks and CI/CD workflows for reliable data delivery across the organization.
Zensurance is an InsurTech company that provides digital-first commercial insurance solutions for Canadian businesses. They are a fast-growing company recognized for industry impact, with a collaborative and innovative culture.
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.
Design, build, test, deploy, and maintain scalable data pipelines, transformations, and data models on Snowflake.
Develop and productionize AI and machine learning solutions using Snowflake Cortex AI, including AI agents and retrieval experiences.
Implement data quality checks, automated testing, observability, error handling, and deployment controls for reliable production data and AI workloads.
FreedomPay provides a commerce platform for global enterprises, powering payments, security, identity, and data analytics. It is a fast-paced, high-growth company with a great culture and business casual atmosphere.
Author and maintain Terraform for Snowflake resources across a multi-account, multi-region footprint.
Contribute to role-based access control, schema migration tooling, and CI/CD pipelines for data warehouse operations.
Build and operate customer-facing financial reporting APIs and PCI-scoped ETL pipelines on AWS and Snowflake.
Marqeta is a modern card issuing platform powering companies like Uber, Square, Instacart, and Klarna. They are a publicly-traded company with a focus on innovation and collaboration, offering flexible work and a range of benefits.
Investigate, analyze, and integrate data from multiple sources to create reliable, consolidated sources of truth.
Build, maintain, and optimize automated data pipelines using technologies such as Databricks, Python, and PySpark.
Translate data into actionable insights that help stakeholders evaluate clinical, operational, financial, and member-related outcomes.
This is a remote opportunity to build and maintain data products that support healthcare programs and improve how care is delivered. The role is ideal for a creative, analytical problem solver who wants to apply technology and data to meaningful healthcare outcomes.