Lead the Data Engineering team to design, build, and operate scalable data pipelines powering analytics and AI.
Partner with cross-functional leaders to define technical strategy, roadmap, and execution for the enterprise data platform.
Drive engineering excellence through improved data quality, reliability, observability, and governance.
Omada Health is reverse engineering healthcare delivery in America, focusing on chronic conditions like obesity, diabetes, and hypertension. With over two million members served and a strong remote-first culture, the company has been certified as a Great Place to Work.
Apply statistical, machine learning, and data mining techniques to large health data sets to build new products and methodologies.
Collaborate with Product Managers, Analysts, and Engineers to deliver and iterate on data-driven product solutions.
Explore high-volume data to identify signals, patterns, and relationships to infer insights from imperfect data.
Veeva Systems is a mission-driven pioneer in industry cloud, helping life sciences companies accelerate therapy delivery to patients. As one of the fastest-growing SaaS companies, it surpassed $3B in revenue with a culture valuing Do the Right Thing, Customer Success, Employee Success, and Speed.
Oversee the full lifecycle of data products within the Data Core team, from ideation to operation and continuous optimization.
Ensure the data infrastructure (Databricks, Unity Catalog, data lake) operates with excellence, reliability, and scalability.
Lead and develop a cross-functional team of data engineers, scientists, and analytics experts, balancing long-term vision with hands-on execution.
We help large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience, we are 8,000 CI&Ters in over 25 countries, collaborating to build solutions with real impact.
Design, build, and maintain scalable batch and streaming data pipelines.
Develop reliable ETL/ELT workflows using Python, Spark, and modern orchestration tools.
Improve data quality, validation, monitoring, and observability across the platform.
The company is a Berlin-based, remote-first technology company building advanced market intelligence and software solutions for the automotive industry. It operates in a stable growth phase with an established product and a strong technical team.
Lead technical direction of the data team, designing scalable data architectures for batch and streaming processing.
Translate business requirements into efficient data solutions and collaborate with CRM and Martech teams.
Mentor engineers and define data governance, quality, security, and observability standards.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company uses automated processes to review applications and share top-fitting candidates directly with employers.
Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.
This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.
Optimize Spark/YARN job resource usage and build job profiling systems to identify inefficiencies.
Use AI coding tools to drive automation and develop tooling for cost optimization on EMR and S3.
Maintain monitoring systems and assist with capacity alerting for storage layers like disk and S3.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume. The company is trusted by over 300 million people in 100+ countries for its industry-leading security and diverse digital-asset products.
Drive the change in healthcare by building products to integrate fragmented healthcare services as an end-to-end experience.
Lead technical design and implementation of reliable, scalable, and efficient data infrastructure and software solutions.
Collaborate across teams including Product, Sales, and Clinical Operations to translate business requirements into a technical roadmap.
Accompany Health is a primary, behavioral, and social care provider for patients with complex needs, offering at-home, virtual care, and 24/7 support. The company is an equal opportunity employer with a distributed team across the country, focused on evidence-based practice and long-term patient relationships.
Lead Databricks lakehouse execution across bronze, silver, and gold with maintainable pipelines and curated outputs.
Own common data model implementation, conformed dimensions, fact design, and reusable gold datasets for reporting and AI/BI.
Design scalable data models for SAP, manufacturing, finance, sales, supply chain, and operational domains.
Sonny's Enterprises is the world's largest manufacturer of conveyorized car wash equipment, parts, and supplies. The company has a culture focused on innovation and is proudly designed and built in the USA.
Architect Spark-driven workflows at scale and design data platforms as products for internal teams.
Develop and maintain end-to-end data pipelines and backend ingestion workflows across multiple sources.
Champion Samsara's cultural principles and mentor junior team members to drive data-driven decisions.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for actionable insights to improve safety, efficiency, and sustainability. As a recently public company, it fosters a culture of rapid career development, ownership, and high performance.