Sr. Manager, Data Engineering

  • Irving, TX
  • Posted 3 hours ago | Updated 3 hours ago

Overview

Remote
On Site
USD 119,330.00 per year
Full Time

Skills

Health Care
Recruiting
Data Engineering
Analytics
Management
Project Implementation
Budget
Decision-making
Product Optimization
Product Development
Python
SAS
SQL
Dashboard
Pharmacy
Analytical Skill
Data Stewardship
Data Warehouse
BMC Remedy
Warehouse
Data Modeling
Collaboration
Business Operations
Research
Data Quality
Mentorship
Telecommuting
Computer Science
Computer Engineering
Information Technology
Software Development
Software Development Methodology
Continuous Integration
Continuous Delivery
Jenkins
Git
DevOps
Docker
Kubernetes
JIRA
Rally
Confluence
Microsoft Power BI
Tableau
XML
JSON
HTML
Cascading Style Sheets
JavaScript
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Data Flow
Pivotal
Cloud Foundry
Splunk
Dynatrace
AppDynamics
Grafana
High-level Design
POC
Extract
Transform
Load
Reporting
Life Insurance
Law
SAP BASIS

Job Details

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Sr. Manager, Data Engineering to plan, initiate, and manage information technology (IT) projects for data engineering and analytics. Duties include: work with business and technical partners from across the enterprise to support the development of innovative programs to improve patient outcomes, reduce cost, and improve efficiency across the organization; manage project execution to ensure adherence to budget, schedule, and scope, and assess business implications; enable data-driven strategic decision-making and identify opportunities for existing product improvement and new product development; translate business needs into analytic questions and utilize Python, SAS, and SQL to access data and develop Tableau dashboards to track milestones and deliverables; design and conduct rigorous analyses of pharmacy claims, medical claims, and other data, and translate analytical findings for business and customer audiences; responsible for data stewardship, including improving the quality and usage of data and ensuring high levels of data quality in enterprise data warehouse and source systems; analyze, evaluate, and test the integration of multiple data sources into the data warehouse and remedy data deficiencies in warehouse environments; utilize data modeling concepts to collaborate with member of the Business, Operations, and IT teams to understand requirements, research data anomalies, and ensure consistency and quality; test newly developed functionality to ensure the highest level of data quality upon delivery; and mentor junior team members. Telecommuting available. Multiple positions.

Requirements: Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field and five (5) years of progressive, postbaccalaureate experience in the job offered or related occupation. Requires five (5) years of experience in each of the following:
Software development lifecycle (SDLC);
CI/CD, Jenkins, GIT, or DevOps;
Docker and Kubernetes;
JIRA, Rally, or Confluence;
PowerBI or Tableau;
XML, JSON, HTML, CSS, or JavaScript;
Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (Google Cloud Platform);
Dataflow, Big Query, and DataFlow;
Pivotal Cloud Foundry (PCF);
Splunk, DynaTrace, AppDynamics, Grafana, or Prometheus;
Preparing high level design document (HLD) and proof of concept (POC) for new implementations; and
Extract/Transform/Load (ETL) processes to extract data from disparate source transaction systems, transform and enrich the data, and load it into specific data models optimized for
analysis and reporting.

Pay Range: $119330.00/year to $240000.00/year.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.

For more detailed information on available benefits, please visit ;br>This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.