Senior Data Engineer
Our mission is to deliver high-quality primary care that is accessible, convenient and affordable for all. Every single day you’ll be working on challenging problems with an exceptional team to profoundly transform primary care and improve people’s quality of life.
This role allows you to work from anywhere you choose across the U.S. (excluding U.S. territories), with the flexibility to work from the Seattle HQ office as often as you’d like. Our core working hours are from 10 am to 4 pm Pacific Time Monday through Friday. Please be aware that all employees are expected to be available during these hours.
Your role and impact
As a Senior Data Engineer, you will be part of a team dedicated to empowering business leaders to make data-driven decisions. You will collaborate with teams across the company to discover and solve real-world problems, define metrics, design and implement systems to analyze large amounts of data to support decision-making. You will also provide critical data and insights to our commercial customers, allowing them to see the value and benefit of 98point6 for their employees. You are a self-starter, possess a strong commitment to detail and can work in a rapidly changing environment.
Strategic projects you will work on in your first year include:
- Architecting and guide the implementation of automated daily, weekly and monthly reporting for our commercial partners
- Oversee the design and implementation of a system to ingest and process streaming data for real-time or near-real-time reporting and analysis
- Collaborate with the Data Science team to clean, organize and move data to meet machine-learning needs across a variety of business areas
Responsibilities
- Design, architect, implement and support datasets that provide structured and timely access to actionable information about our application and medical operations
- Design and implement robust, production-grade systems for data ETL in Python, Java or similar and author SQL for reporting and data transformation
- Understand and influence logging to support our data flow, architecting logging best practices where needed
- Identify and execute on opportunities for continual improvement of processes and systems
- Develop SQL queries and/or custom analytical processing in Python for ad hoc requests and projects, as well as ongoing reporting
- Write well-crafted, well-tested, readable, maintainable code
- Investigate, debug and solve problems with ETL process and reports
- Monitor existing metrics, analyze data and partner with other teams (product, engineering, medical, compliance, marketing and sales) to identify and implement process and system improvements
- Mentor and collaborate with a diverse group of analytics and data engineers at all levels.
Qualifications
- Experience designing, architecting and building large-scale data systems
- 5+ years experience coding or scripting for automation in Python, Java, Kotlin, Ruby, Scala or similar object-oriented language
- 5+ years development experience with SQL for data warehousing or analytics applications, creating and managing data tables and optimizing queries
- 2+ years of experience working with AWS or any other cloud providers
- Familiarity with modern CI/CD practices and tools
- Proficient written and verbal communication skills, including collaboration with all cross-functional teams (both technical and business)
- Ability to be detail-oriented, build trust and collaborate with internal stakeholders in an agile development environment
- Experience with Big Data technologies (Hadoop, Hive, Presto, Spark) is a plus
98point6 provides equal employment opportunities to all without regard to race, color, religion, sex (including sexual orientation or gender identity), national origin, age, disability, genetic information or other protected status.