Physician staffing β’ Nurse staffing β’ Allied health staffing β’ Credentialing β’ Culture
1001 - 5000
November 14
πΊπΈ United States β Remote
π΅ $81.4k - $220.7k / year
β° Full Time
π‘ Mid-level
π Senior
π° Data Engineer
π½ H1B Visa Sponsor
Physician staffing β’ Nurse staffing β’ Allied health staffing β’ Credentialing β’ Culture
1001 - 5000
β’ Implement the Enterprise Data Strategy defined by the company β’ Analyze, design, develop, and deploy ETL solutions using Fivetran, dbt, and Snowflake β’ Contribute to ongoing migration to the Cloud β’ Develop, package, and deliver new service offerings related to Data and Business Intelligence β’ Work with management, data platform architect, report developers, project managers, and product managers to understand and prioritize data and information requirements and deliver in an agile environment β’ Participate in testing methodology and criteria
β’ Willing to work alone as well as in a team, helping team members achieve project goals β’ Demonstrate ability to help and mentor others as well as be open to mentoring from senior level peers, internalize feedback, change personal processes and behavior to conform to team objectives β’ Maintain existing and develop new data pipelines, data models, and other data development requests, with considerations for processing performance β’ Ensure quality data output for each development task through appropriate Self-QA that follows the testing standards of the Data Platform team β’ Solid understanding of logical and physical models, including Kimball methodology β’ 3-5 year(s) experience with data analysis and building ELT/ETL solutions β’ 3-5 year(s) experience with ELT/ETL and cloud data warehousing methodologies and tools; (Fivetran, Snowflake, dbt, and Prefect preferred) β’ 3-5 years SQL experience writing medium to complex queries β’ Demonstrated experience with reporting-database integration, using APIs to extract data from source systems, and processing data in a range of database platforms β’ Demonstrated experience with software design practices, relational databases, and data-driven reporting applications β’ Bachelor's degree or equivalent work experience in a technical field β’ Preferred: Strong preference for candidates with experience building data pipelines using Python β’ Experience with Prefect as an orchestration tool β’ Experience building and/or using a semantic or metric layer β’ Experience with the Kimball Methodology
β’ 401(k) retirement plan with company match β’ Traditional healthcare benefits such as medical and dental coverage, and some unique benefits like onsite health centers, corporate wellness programs, and free behavioral health appointments. β’ Flexible work schedules - including work-from-home options available β’ Recognition programs with rewards including trips, cash, and paid time off β’ Family-friendly benefits including paid parental leave, fertility coverage, adoption assistance, and marriage counseling β’ Tailored training resources including free LinkedIn learning courses β’ Volunteer time off and employee-driven matching grants β’ Tuition reimbursement programs
Apply NowNovember 14
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β° Full Time
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