Lead data management activities for clinical and epidemiologic research studies from start-up through closeout.
Perform advanced SAS programming to clean, validate, and manage complex research datasets.
Design and maintain study databases, validation rules, and data quality procedures.
DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering, and digital transformation. The company employs experts in public health and health operations and is committed to innovation and improving lives.
Design, build, and maintain scalable data pipelines using Python and AWS DynamoDB.
Develop and optimize DynamoDB data models and indexing strategies for high throughput.
Establish data validation, monitoring, and alerting mechanisms to ensure pipeline reliability.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. With a team that thrives in a culture of collaboration and creativity, the company offers competitive compensation and professional development opportunities.
Develop and own a long-term strategic vision for Webflow's enterprise data architecture, aligning data models, integration patterns, and governance with business priorities.
Lead, mentor, and grow a team of Analytics Engineers to build a scalable, reliable data foundation.
Design and operationalize a unified semantic layer that powers self-serve analytics and data-driven decision-making.
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences. As a privately held company, Webflow fosters a culture of grit, collaboration, and continuous improvement.
Serve as the technical lead and pillar head for Data Platform Engineering, defining and evolving the enterprise 10-Layer Data & AI Operating System.
Architect and deploy the centralized Metadata Control Plane and automated Data Catalog, driving GitOps and Data-as-Code practices.
Design and govern enterprise AI infrastructure standards, including Vector Databases, Knowledge Graphs, and RAG pipelines.
Avery Dennison is a global materials science and digital identification solutions company with locations in over 50 countries and approximately 35,000 employees worldwide. They foster a culture of curiosity and courage, encouraging diversity of thought and collaboration.
Own tracking and reporting of CV accuracy metrics, investigating misclassifications and identifying patterns across customers.
Curate, label, and prioritize datasets for model retraining, partnering closely with ML and CV engineers.
Build and improve the continuous learning pipeline, moving from flagging issues to fixing them directly.
We are building the backbone of freight by reinventing supply chain infrastructure with carrier agnostic truck terminals. We are a vertically integrated real estate, operations, and technology company backed by $1B, scaling to build the most valuable logistics network in the country, with a culture of accountability, integrity, and high performance.
Design and implement data integrations with SIEM platforms such as Sentinel and Splunk.
Model complex data sources into performant analytics.
Collaborate with product engineering teams to deliver data solutions that enhance customer-facing products.
Dragos is the global leader in xOT cybersecurity, combining technology, threat intelligence, and expert services. The company is a remote-first mission-driven team across North America, Europe, the Middle East, and APAC built on authenticity, transparency, and trust.
Build and maintain a quality scoring classifier for support interactions using NLP and LLM-based approaches.
Enhance forecasting models for support volume and staffing demand to enable responsive operational planning.
Partner with cross-functional teams to translate business needs into scalable data solutions and drive member experience improvements.
Oura empowers people to understand and improve their health through the Oura Ring, a wearable that tracks readiness, activity, and sleep. The company has helped millions globally and fosters a culture of employee well-being and growth.
Lead research into vegetation structure, fuel loads, and wildfire risk from satellite and environmental data.
Design validation and evaluation frameworks, including ground-truth strategies and uncertainty quantification.
Prototype ML models and partner with engineers to bring research into production systems.
At Overstory, we use AI and satellite imagery to identify vegetation risks that threaten power lines, helping utilities prevent wildfires and outages. We are a fast-growing team of about 100 people across the Americas and Europe, united by a passion for climate action and solving complex problems.
Support and maintain production GCP data platforms, pipelines, and workflows.
Optimize Airflow DAGs and troubleshoot pipeline failures and performance issues.
Collaborate with cross-functional teams on production issues and enhancements.
Innodata is a global data engineering company that enables the responsible advancement of AI by providing data, evaluation frameworks, and human expertise. With a 36+ year legacy, it delivers high-quality data and outcomes for customers.
Design, develop, and maintain scalable, production-ready data pipelines and data products using Spark (Python/SQL) in a Databricks environment.
Lead the integration and transformation of complex data from diverse DoD and federal health systems into reliable, reusable data products.
Provide technical guidance and mentorship to other engineers, helping teams navigate complex technical challenges.
540 is a forward-thinking company that delivers innovative technology solutions for government missions. The team has a culture of breaking down barriers and solving mission-critical problems.