Lead enterprise-wide data architecture and define long-term platform design principles.
Design and optimize ETL pipelines using Airflow, dbt, Python, Snowflake, and Spark.
Build streaming data pipelines with Kafka and CI/CD automation for reliable large-scale systems.
The company is building scalable, reliable data platforms and shaping enterprise-wide data architecture. They value technical leadership, data governance, and collaboration across business and analytics teams.
Build and own scalable ingestion pipelines for sold-listing data from multiple marketplaces.
Design entity resolution logic to match inconsistent listings to canonical items and develop valuation logic.
Create production data quality monitoring and partner with computer vision lead on item-matching standards.
This is an online marketplace focused on reliable pricing for sold listings. It is an early-stage startup with a small, collaborative team, partnering closely with computer vision.
Design, develop, and scale machine learning models and advanced analytics solutions to improve healthcare provider data quality and generate network insights.
Apply statistical modeling, predictive analytics, NLP, and anomaly detection to solve complex, open-ended business problems.
Partner with Engineering to productionize models, use LLM tools, and translate findings into clear business value for stakeholders.
Quest Analytics provides healthcare provider network management tools, with models and insights that improve the accuracy, adequacy, and accessibility of healthcare provider networks. For more than 20 years, 90% of America's health plans have used their solutions, and they foster an entrepreneurial culture with workplace flexibility.
Translate business and stakeholder needs into scalable data engineering and data science solutions.
Partner with cross-functional teams to understand requirements, prioritize opportunities, and deliver data-driven outcomes.
Build and maintain ETL pipelines, data integrations, and technical documentation for data assets.
Stryker is a leading medical technology company driven to make healthcare better, offering innovative products in orthopaedics, medical and surgical, and neurotechnology. Named one of the World's Best Workplaces, it is a large global organization focused on improving patient and hospital outcomes.
Own the middle layer of the data pipeline, integrating Quantum interaction data with account, device, and operational data sources.
Build and maintain ETL workflows, develop AWS processing resources, and prepare reliable datasets for Tableau.
Investigate data discrepancies, troubleshoot pipeline issues, and collaborate with engineering leads and product owners as data complexity grows.
Blend is a premier AI services provider that partners with clients to create meaningful impact through data science, AI, technology, and people. The company fosters a culture of innovation and collaboration, dedicated to developing world-class talent and delivering data-driven strategy.
Drive S&OP process improvements in manufacturing by aligning demand, supply, and inventory planning.
Build analytics solutions with Microsoft Fabric, Power BI, and Lakehouse architecture.
Model data from D365 and business systems to enable reliable, real-time planning insights.
Wise Integration is a technology and recruitment firm that connects specialists with international projects, focusing on analytics, cloud, and ERP transformations. The company values delivery excellence and supports remote collaboration across Europe.
Design, build, and support scalable data pipelines for trusted analytics and operational reporting.
Partner with product, analytics, and business teams to translate ambiguous needs into reliable technical solutions.
Implement data quality, CI/CD, and observability practices to keep production systems accurate and supportable.
NBCUniversal is a leading media and entertainment company creating content across film, TV, streaming, and theme parks. As a Comcast subsidiary, it values diversity and community service.
Lead high-impact, company-wide data initiatives and mentor junior engineers to foster technical excellence.
Design and architect scalable data solutions, including ELT/ETL pipelines and optimized data models.
Ensure data quality and platform stability through rigorous frameworks and on-call support.
Atlassian is a software company that creates collaboration tools like Jira and Confluence to help teams work together. With a global workforce and a culture centered on teamwork and flexibility, Atlassian empowers employees to do their best work.
Co-develops batch and streaming pipelines on Databricks using Python and Spark.
Defines data contracts, quality rules, and SLOs for each data product.
Guides domain teams on data modeling and data product boundaries.
Muttdata builds innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. It is a fast-growing, remote-first startup passionate about technology, collaboration, and continuous learning.