The One Medical team is looking for an experienced Data Engineer to work on industry leading tech for clinical care.
At One Medical we build technology that powers best-in-class health care. Our web and mobile apps enable digital healthcare experience that our members love, and our software platform is used by our doctors and nurses to deliver great care. Our team delivers amazing end-to-end solutions to connect patients and our care team in new and innovative ways.
If you like to work with data that is directly affecting business decisions, and you have a passion for doing brand new things with data, then this role is for you. As a key member of our data engineering team, you will work alongside our business analysts, business leaders, and the rest of our engineering team to help transform the way healthcare uses data.
#everydaybetter
Key job responsibilities
Work closely with data scientists and analysts to build complex data pipelines from health and business operations data utilizing SQL, PySpark, Python, Airflow, Snowflake, and AWS
Develop frameworks for connecting to data sources and building ETL tasks
Work on the data pipeline platform to enable Analytics and Data Science team members to quickly and efficiently build reliable pipelines
Consistently evolve data model & data schema based on business and engineering requirements
Deliver data that will drive business decisions, improve quality of care, and optimize the doctor's office
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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 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 $91,200/year in our lowest geographic market up to $185,000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Data Engineer, Data Engineering
Posted: | 22 Dec 2024 |
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Company: | Amazon |
Category: | Data Engineering |
Country: | US - United States |
State: | None - None |
City: | San Francisco |
Zip code: | None |