Accompany Health - Senior Data Engineer
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Requirements
• 7+ years of hands-on data engineering experience with a graduate degree in Computer Science, Statistics, or related field • Can build large-scale data pipeline architecture, including data lakes, message queuing, and stream processing • Strong SQL and data modeling skills with experience handling both structured and unstructured datasets • Proven track record of building scalable data transformation processes and implementing robust data governance • Ability to solve complex data challenges using modern big data technologies • Experience performing root cause analysis on internal and external data and turning requirements into technical solutions • Strong analytic skills related to working with unstructured datasets • Build processes supporting data transformation, data structures, metadata, dependency, and workload management • You are mission-driven and have exceptional project management, communication and organizational skills • Healthcare experience is a plus but not required • The following is a list of software/tools that would be nice to have but not required: • Big data tools: Apache Spark, Kafka • Languages: Python, Golang, Java, Scala • Orchestration: Apache Airflow , Apache Iceberg • Experience with Data Lake architectures, AWS Glue, Terraform • Relational databases like SQL, NoSQL • Experience with cloud-based data warehouse • $165,000 - $195,000 a year • The base salary range for this full-time position is $165,000-$195,000 + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Our talent team can share more about the specific salary range for your preferred location during the hiring process. • For Patient Facing Roles • To keep our patients, communities and each other safe, you'll be required to comply with Accompany Health’s medical clearance requirements, including completing a TB screen and providing proof of immunity or vaccination for certain conditions. This is a condition of employment, and we make exceptions as required by law. Accommodation for religious and medical beliefs will be provided on a case by case basis.
Responsibilities
• Be a data champion and seek to empower others to leverage the data to its full potential • Architect and own our data platform strategy, with a deep understanding of our complex data ecosystem • Lead the design and implementation of scalable data infrastructure that powers both internal and external products • Partner with Product to translate business requirements for data across the company into a technical roadmap and architecture for the platform • Create and maintain data engineering best practices and mentor teams in building robust, observable pipelines • Assemble large, complex data sets that meet functional / non-functional business requirements • Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources. • Work with Executive, Clinical, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
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