Devops • norwalk ca
At AltaMed, we don’t just serve our communities, we are part of them.We have raised the expectations of what a community clinic can deliver because we think quality care is for everyone.And, we are...Show more
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At AltaMed, we don’t just serve our communities, we are part of them.We have raised the expectations of what a community clinic can deliver because we think quality care is for everyone.And, we are...Show more
The average salary range is between $ 110,000 and $ 165,010 year , with the average salary hovering around $ 129,998 year .
Work Boldly. Live Brilliantly.
At AltaMed, we don’t just serve our communities, we are part of them. We have raised the expectations of what a community clinic can deliver because we think quality care is for everyone. And, we are determined to provide it no matter the challenges because this is more than a job. It’s the calling of our lives and it compels us to keep moving forward.
Job Overview
The Senior Data Engineer position works closely with business leaders, managers, staff and vendor to accurately gather and interpret requirements. Develop technical specifications and recommend, design, develop, test, implement, and support innovative and optimal data solutions. Serves as a coach and mentor to the data engineering team.
Minimum Requirements
1. High School diploma required. Associates degree or Bachelor’s degree in a health related field preferred.
2. Minimum 7 years of experience in a data warehouse\data engineering role for a mid to large size organization required. Health Care industry experience highly desired.
3. Minimum of 4 years of hands on experience with ETL\Data Integration, BI, data mining (preferred) and modeling preferred.
4. Proficient in 3rd normal form (TNF) DW Architecture, data flow best practices, data modeling, metadata, and master data management.
5. Expertise in SQL and RDBMS systems such as Microsoft SQL Server.
6. Stay up-to-date with established and industry emerging data technologies.
7. Demonstrated ability to produce high quality technical documentation.
8. Experience in implementing a data architecture with separation between storage and compute preferred.
9. Deep understanding of data architecture and ability to coordinate with the enterprise data architect is highly desired
10. Experience with data quality and ETL platform, such as Talent is preferred.
11. Experience using Azure DevOps for source control and CICD.
12. Experience working in both waterfall and agile project managed teams.
13. Experience using Talent as an ETL tool is a big plus.
14. Familiarity of Data Virtualization concept/architecture is highly desired.
15. Hand on technical experience with MS SQL 2019 Big Data Cluster or other Big Data technologies is preferred.
Benefits & Career Development
