Yesterday
β’ Manifold is seeking an experienced and hands-on Senior Staff Data Engineer to help lead our team in architecting and developing our data engineering capabilities. β’ You will be pivotal in helping leading research institutions integrate a variety of clinical and biomedical data into a unified, impactful platform. β’ This is a unique opportunity to take on both customer-facing responsibilities and product development, collaborating directly with stakeholders to understand their data challenges and drive innovative solutions. β’ You will lead, mentor, and grow a team of engineers, tackling high-impact, unsolved problems that will accelerate scientific discovery and advancement. β’ Provide technical leadership, guide technology choices, and chart an approach to execution that will help enable our data platform to support the Manifold technology vision. β’ Collaborate with our engineering, product, and delivery teams to ensure the technology solutions support current and future customer needs. β’ Lead a highly effective data engineering team to advance our technology roadmap. β’ Set data architecture principles, create business and logical models of data, and design / document diagrams and high-level integrated designs for our data platform. β’ Develop technical strategies, designs, and commit quality code reliably and on time to help the team achieve roadmap goals and customer commitments. β’ Be responsible for the evaluation, selection, implementation, and administration of data management technologies and infrastructure. β’ Interact with customers to provide expertise on technical implementation questions. Also extract customer feedback to inform our architecture and technical designs.
β’ 10+ years of experience as a data architect or data engineer, managing complex data pipelines in a SaaS / cloud infrastructure environment β’ Have lead teams of up to 6 people in Tech Lead/Architect/Manager roles as the business needs grow β’ Can effectively work with leadership, product and customer teams to translate and prioritize business needs into technical sprint planning with clear task definitions β’ Ability to design and present architectures and data flows β’ Ability to prototype several solutions before proposing and reviewing designs with the data team; And then take prototypes to production, with emphasis on stability, quality, and scalability β’ Has deep familiarity with modern data stack and technologies like Snowflake, DBT, Airflow and AWS/Azure infrastructure β’ Has implemented and lived with a large scale production data pipeline for 3+ years, facing and solving real-world data problems β’ Domain knowledge, in at least one of: health care, clinical research, genomics, bioinformatics β’ Past experience working with clinical data (structured and unstructured EHR data), genomic, and imaging data types in healthcare and life-sciences contexts is a plus β’ Working with OMOP-like data models and modifying them per customer requirements is a plus β’ You want to change from a research institute to a venture-funded growing company that moves faster AND / OR You want to change from a large company to a fast-paced environment to have a greater impact AND / OR You enjoy building and helping others build foundational data layers that can serve multiple use cases and applications that run on top of them AND / OR You enjoy learning new skills and using them to solve business problems.
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Lead Data Engineer to enhance data infrastructure for app and access management.
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β° Full Time
π Senior
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π½ H1B Visa Sponsor
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Data Engineer at Dealer Tire designing enterprise data systems and ETL pipelines.
πΊπΈ United States β Remote
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π° $157.9M Private Equity Round on 2009-09
β° Full Time
π‘ Mid-level
π Senior
π° Data Engineer
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πΊπΈ United States β Remote
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