Own the Data Products: You aren't just moving data; you are building durable, high-performance data assets that the business relies on.
Empower the Consumers: Your team is the force multiplier for Data Science and Analytics. You remove the friction of data cleaning and query optimization so they can focus on insights.
Enforce Technical Rigor: You ensure that our data models are not just accurate, but performant, scalable, and built with software engineering best practices.
Dandy is transforming the massive and antiquated dental industry. They aim to simplify and modernize every function of the dental practice through technology.
Lead the design, development, and deployment of enterprise-scale data and AI solutions.
Architect, implement, and optimize large language models and agentic AI workflows for business automation and decision support.
Leverage AWS and Snowflake to build scalable, secure, and efficient data pipelines for structured and unstructured data.
U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.
Architect and evolve our data platform using Snowflake and dbt.
Design and implement batch and streaming pipelines in AWS.
Define and enforce data governance, security, and privacy policies.
BlueMatrix and Street Context develop web applications for the authoring, distribution, and analysis of investment research, and for internal knowledge management and digital communications. The BlueMatrix and Street Context teams are made up of ambitious and passionate people who have turned technology development and client service into an art.
Own Neko’s Data Engineering strategy, ensuring long-term leadership in preventive health.
Drive innovation in data engineering technologies and practices, balancing current and future needs.
Build a platform supporting responsible AI — fairness, privacy, explainability, and compliance.
Neko Health is a Swedish healthcare technology company focused on shifting healthcare from reactive treatment toward preventative health and early detection. They have over 500 employees with offices in Stockholm, London and Manchester and are focused on creating a flexible work environment.
Architect, design, and lead the implementation of highly complex, scalable, and resilient data solutions in the cloud.
Quickly build subject matter expertise in a specific business area and data domain.
Support defining and executing the overarching strategy for the analytics engineering function.
Huntress is a fully remote, global team of passionate experts and ethical badasses on a mission to break down the barriers to cybersecurity. Founded in 2015 by former NSA cyber operators, Huntress protects all businesses with enterprise-grade, fully owned, and managed cybersecurity products.
Define and communicate the long-term data architecture vision.
Lead the evaluation and selection of technologies and frameworks.
Establish and promote best practices for data management and governance.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they foster a diverse, inclusive, and safe work environment where collaboration is a superpower.
Build, operate, and scale the company’s transformation, enterprise data, and semantic layers.
Distill requirements and logic and apply consistent implementation patterns to varying domains and use cases.
Design, build, and maintain dbt models and macros, test specifications, and technical definitions of key measures and dimensions.
Rexel USA is a large distributor of electrical products, data communication, and related supplies. They operate through eight Regions with over 460 warehouse storefront locations throughout the U.S., focusing on creating an inclusive and diverse workplace.
Build and own the data foundation, ensuring models are performant, well-tested, and documented; design and maintain the Snowflake data warehouse and ingestion processes; and use modern data modeling best practices to create core entities and datasets. Implement testing and observability for analytics pipelines. Act as data liaison between Engineering, GTM, and Finance ensuring consistent metric definitions and proper system instrumentation.
Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages.
Design, build, and maintain cloud-native data infrastructure using Terraform for IaC.
Develop and optimize data pipelines leveraging AWS services and Snowflake.
Build and maintain LLM frameworks, ensuring high-quality and cost-effective outputs.
ClickUp is building the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.
As SVP of Data & Infrastructure, you will report to the CTO. Your role requires strong technical leadership skills and the ability to drive high business impact across multiple projects. You will lead a world-class remote engineering team based in the United States.
They are a team of experts working to improve health outcomes and reduce the cost of the American healthcare system.
Lead a world-class data engineering practice, shape up technical strategy and data architecture.
Develop data products to enable reporting, analytics, data science, machine learning, and AI workloads.
Partner with IT, data platform, product engineering, analytics teams and data scientists to support multiple programs.
Atlassian's software products help teams all over the planet, and their solutions are designed for all types of work. They believe that the unique contributions of all Atlassians create their success and value a culture that incorporates everyone's perspectives and experience.
Define analytical strategy and govern key metrics.
Architect scalable data models and lead cross-functional initiatives.
Communicate analytical findings through compelling narratives.
Synapticure provides instant access to expert neurologists, cutting-edge treatments and trials, and wraparound care coordination and behavioral health support in all 50 states.
Design, develop, and maintain scalable data pipelines and data warehouses.
Develop ETL/ELT processes using Python and modern data tools.
Ensure data quality, reliability, and performance across systems.
3Pillar Global is dedicated to engineering solutions that challenge conventional norms. They are an elite team of visionaries that actively shapes the tech landscape for their clients and sets global standards along the way.
Collaborate with engineering, data science, ML, data engineering, and product analytics teams to understand and shape the future needs of our data platform and infrastructure.
Define, drive, and implement the future live ingestion layer of data into our data platform (e.g. Kafka, Kinesis).
Define and evolve standards for storage, compute, data management, provenance, and orchestration.
Inspiren offers the most complete and connected ecosystem in senior living.
Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.
This position is posted by Jobgether on behalf of a partner company.
Partner with clients and implementation teams to understand data distribution requirements.
Design and develop data pipelines integrating with Databricks and Snowflake, ensuring accuracy and integrity.
Lead architecture and implementation of solutions for health plan clients, optimizing cloud-based technologies.
Abacus Insights is changing the way healthcare works by unlocking the power of data to enable the right care at the right time. Backed by $100M from top VCs, they're tackling big challenges in an industry that’s ready for change with a bold, curious, and collaborative team.