Description
Want to channel the power of data to be a part of something big, having an impact on our customers' and members' health and well-being? Come join a dynamic, data-centric organization as we chart a course to greater self-service and empowerment of business, clinical, and technology leaders at One Medical!
You will be responsible for designing and building reliable & performant data models and pipelines to provide actionable insights and accommodate needs from our cross-functional partners and distributed analysts across the organization.
You are someone that enjoys exploring data to identify large areas of opportunity to drive business impact, are able to ask the right questions to accurately analyze situations, and can acquire data from multiple and diverse sources when solving problems. Not only that, you are also able to make sense of complex, high-quantity, and sometimes contradictory information to solve these problems through structured thinking and have shown the ability to drive results in accomplishing objectives despite obstacles and setbacks. You thrive at effective communication in a variety of settings, whether it’s one-on-one, small and large groups, or among diverse styles and position levels.
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Key job responsibilities
- Partner with folks across the company on developing flexible and scalable analytics to drive insights and decision making by internal customers.
- Design and build reliable, performant and high quality data models and pipelines to provide actionable insights and accommodate needs for our cross-functional teams.
- Build out suites of standard KPIs/metrics.
- Work with the team to define how we model and warehouse data that is accessed by most teams and analysts across the company.
- Engage in code reviews to ensure code committed is collectively maintainable by the team.
- Build proper data quality detection tools to identify data issues in the data transformation stages and fix the problems to meet pipelines / table health SLAs.
- Ensure all critical systems within team’s domain have appropriate and up to date documentation.
- Participate in our scheduled support rotation, where you’ll be responsible for maintaining and troubleshooting pipelines and providing assistance to data analysts.
- Champion the practice of making data-informed decisions by ensuring internal stakeholders such as the product management, operations, marketing, clinical effectiveness, finance and executive teams are making data-driven decisions quickly and with confidence.
- Build and improve data tooling in partnership with data engineering and platform teams.
Basic Qualifications
- 3+ years of data engineering experience.
- Experience with data modeling, warehousing and building ETL pipelines.
- Knowledge of modern data warehouse (Snowflake, Big Query).
- Proficiency in SQL.
- Ability to communicate technical concepts to diverse audiences.
Preferred Qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases).
- Healthcare industry experience.
- Knowledge of Apache Airflow.
- Proficiency in Python.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - Amazon.com Services LLC
Job ID: A2749373
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