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Analytics Engineer II
Philadelphia, PA
Job Description
Client Summary: Our Client has been the birthplace for countless breakthroughs and dramatic firsts in pediatric medicine. Built on a foundation of delivering safe, high-quality, family-centered care, the Hospital has fostered medical discoveries and innovations that have improved pediatric healthcare and saved countless children's lives.
Job Description: Analytics Engineer II
-The analytics engineer acts as a bridge between a data engineer and a data analyst. This position is primarily responsible for modeling raw data sets into curated, reusable, trusted data sets which power analytics across the enterprise.
-These data sets will serve as the single source of truth for data and enable self-service analytics. In addition to the development of data models, this role is responsible for maintaining data quality within these data sets via the use of monitoring, testing, and automation.
-An additional component of the role is to improve the effectiveness of data analysts and data scientists. This maybe via providing technical expertise in query development, extending data models via the addition of new metrics, and/or consulting on software development practices.
-The Analytics Engineer owns the entire workflow of data associated with their domain; data pipeline development, ELT performance, timely loading of data sets, and maintenance.
-This role will work within various business units and partner with data analysts and data scientists to obtain a deep understanding of operational data and develop scalable data products which empower data-driven decision making across the enterprise.
1. Collaborate with business subject matter experts, data analysts, and data scientists to
understand/identify the opportunities to develop well-defined, integrated, re-usable data
sets which power analytics.
2. Codify reusable data access patterns to speed up time to insights.
3. Perform Logical and Physical data modeling with an agile mindset.
4. Build automated, scalable, test-driven ELT pipelines.
5. Utilize software development practices such as version control via Git, CI/CD, and release management
6. Build data products using various visualization, BI tools and data science tools.
7. Collaborate with Data Engineers, DevOps engineers and architects on improvement
opportunities for DataOps tools and frameworks.
8. Implement data quality frameworks and data quality checks.
9. Help define analytical product roadmap to drive the business goals and superior quality
outcomes.
10. Work with Data Scientists, Statisticians and Machine learning engineers to
implement/scale advanced algorithms to solve health care, operational and quality
challenges.
11. Work independently and effectively manage ones time across multiple priorities and
projects.
12. Make recommendations about platform adoption, including technology integration,
application servers, libraries, and frameworks.
13. Participate in a shared production on-call support model.
14. Be a critical part of a scrum team in an agile environment, ensuring the team
successfully meets its deliverables each sprint.
Education Requirement: Bachelor's Degree in Computer Science, Computer/Software Engineering, Information Technology or related fields.
Preferred Education: Advanced Degree in Computer Science, Informatics, Information Systems or another quantitative field.
Required Experience Minimum of six (3) years of experience working in Data and analytics landscape
Preferred Experience:
Equiliem Healthcare specializes in staffing clinical, non-clinical, and allied personnel. We excel in all levels, disciplines, and specialties within the healthcare spectrum. Our projects range from short to long term local and travel assignments. Equiliem has been recognized as a certified small business enterprise. In addition, we are proud that we have earned the prestigious Joint Commission accreditation for staffing firms and have been awarded Best in Staffing 4 years running by our employees and client partners.
Benefits offered to our workers include the following:
Across the U.S., leading companies in healthcare, government, light industrial manufacturing, professional services, and energy rely on us for their workforce solutions. Our recruiting and HR services include contract and direct hire staffing, Payrolling/EOR, and Independent Contractor Compliance.
For over 50 years, we've helped shape our industry. Today, we continue to research, ask questions, and constantly enhance the candidate journey and client experience.
We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color sex, national origin, citizenship status, age, sexual orientation, gender identity, marital status, uniform service member status, genetic information, disability, or any other protected status, in accordance with all applicable federal, state, and local laws. This practice extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms and conditions of employment.
Job Description: Analytics Engineer II
-The analytics engineer acts as a bridge between a data engineer and a data analyst. This position is primarily responsible for modeling raw data sets into curated, reusable, trusted data sets which power analytics across the enterprise.
-These data sets will serve as the single source of truth for data and enable self-service analytics. In addition to the development of data models, this role is responsible for maintaining data quality within these data sets via the use of monitoring, testing, and automation.
-An additional component of the role is to improve the effectiveness of data analysts and data scientists. This maybe via providing technical expertise in query development, extending data models via the addition of new metrics, and/or consulting on software development practices.
-The Analytics Engineer owns the entire workflow of data associated with their domain; data pipeline development, ELT performance, timely loading of data sets, and maintenance.
-This role will work within various business units and partner with data analysts and data scientists to obtain a deep understanding of operational data and develop scalable data products which empower data-driven decision making across the enterprise.
1. Collaborate with business subject matter experts, data analysts, and data scientists to
understand/identify the opportunities to develop well-defined, integrated, re-usable data
sets which power analytics.
2. Codify reusable data access patterns to speed up time to insights.
3. Perform Logical and Physical data modeling with an agile mindset.
4. Build automated, scalable, test-driven ELT pipelines.
5. Utilize software development practices such as version control via Git, CI/CD, and release management
6. Build data products using various visualization, BI tools and data science tools.
7. Collaborate with Data Engineers, DevOps engineers and architects on improvement
opportunities for DataOps tools and frameworks.
8. Implement data quality frameworks and data quality checks.
9. Help define analytical product roadmap to drive the business goals and superior quality
outcomes.
10. Work with Data Scientists, Statisticians and Machine learning engineers to
implement/scale advanced algorithms to solve health care, operational and quality
challenges.
11. Work independently and effectively manage ones time across multiple priorities and
projects.
12. Make recommendations about platform adoption, including technology integration,
application servers, libraries, and frameworks.
13. Participate in a shared production on-call support model.
14. Be a critical part of a scrum team in an agile environment, ensuring the team
successfully meets its deliverables each sprint.
Education Requirement: Bachelor's Degree in Computer Science, Computer/Software Engineering, Information Technology or related fields.
Preferred Education: Advanced Degree in Computer Science, Informatics, Information Systems or another quantitative field.
Required Experience Minimum of six (3) years of experience working in Data and analytics landscape
Preferred Experience:
- Minimum of eight (6) years of experience working in Data and analytics landscape.
- One(1) year of experience working with at least one of the public cloud platforms such AWS/Azure/GCP.
- Prior experience in working with EPIC/CLARITY datasets are preferred.
- Strong SQL, Data Modeling and Data Warehousing fundamentals.
- Experience with data integration tools: DBT (must have), Informatica PowerCenter, MS Integration Services etc.
- Experience working with Qlik Sense (must have)
- Experience working with relation databases (Snowflake experience is preferred)
- Experience with software development practices; version control (github), code review, CI/CD
- Prior experience in working with EPIC/CLARITY datasets are preferred.
- Good hands-on experience with Linux (RHEL/Debian) operating system
- Ability to code with other scripting languages such as Python, Bash, groovy etc.,
- Experience utilizing Agile methodology for development
Equiliem Healthcare specializes in staffing clinical, non-clinical, and allied personnel. We excel in all levels, disciplines, and specialties within the healthcare spectrum. Our projects range from short to long term local and travel assignments. Equiliem has been recognized as a certified small business enterprise. In addition, we are proud that we have earned the prestigious Joint Commission accreditation for staffing firms and have been awarded Best in Staffing 4 years running by our employees and client partners.
Benefits offered to our workers include the following:
- Medical Insurance
- Vision & Dental insurance
- Life Insurance
- 401K
- Commuter Benefits
- Employee Discounts & Rewards
- Payroll Payment Options
Across the U.S., leading companies in healthcare, government, light industrial manufacturing, professional services, and energy rely on us for their workforce solutions. Our recruiting and HR services include contract and direct hire staffing, Payrolling/EOR, and Independent Contractor Compliance.
For over 50 years, we've helped shape our industry. Today, we continue to research, ask questions, and constantly enhance the candidate journey and client experience.
We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color sex, national origin, citizenship status, age, sexual orientation, gender identity, marital status, uniform service member status, genetic information, disability, or any other protected status, in accordance with all applicable federal, state, and local laws. This practice extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms and conditions of employment.
Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Bachelor's Degree
Required Experience
3 to 6 years
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