Associate Cloud Data Engineer ( SQL , Python , ETL, Cloud )

Overview

Remote
USD 67,980.00 - 135,960.00 per year
Full Time

Skills

Data Analysis
Artificial Intelligence
Pivotal
Training And Development
Mergers and Acquisitions
Data Structure
Reporting
Real-time
ELT
Programming Languages
Investments
Algorithms
Data Marts
Data Science
Sourcing
Workflow
Boost
Productivity
Python
Relational Databases
Apache Hadoop
SQL
HQL
Microsoft Azure
Amazon Web Services
Problem Solving
Conflict Resolution
Critical Thinking
Google Cloud Platform
Google Cloud
Cloud Computing
Tableau
Alteryx
Extract
Transform
Load
Ab Initio
Bash
Scripting
Unix
Continuous Integration
Continuous Delivery
Agile
SAFE
Health Care
Computer Science
Machine Learning (ML)
Management
Finance
Coaching

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:

At CVS Health, everything starts with our vision to reimagine health care by putting people at the center of all we do and redefine health care in America. Our strategy is focused on making bold moves to deliver solutions that are personalized, connected and increasingly digital.

To execute on our vision and strategic imperatives, the Enterprise Data Services & Operations (EDSO) team is focused on building a modern, connected data ecosystem that accelerates the use of data, analytics, and advanced AI. We are looking for passionate and motivated Data Engineers to join our growing team of engineers. We are on a mission to transform technology and health care and you will play a pivotal role in executing our strategies and making our vision come true.

Training and development will be a part of your role. Due to this you must have the ability to commute to one of the following office locations: Blue Bell, PA; Chantilly, VA; Florham Park, NJ; Harrisburg, PA; Hartford, CT; Jacksonville, FL; Orlando, FL; Wellesley, MA; Woonsocket, RI.

This is a remote or hybrid role (1 day a week onsite) in the Aetna office in Hartford, CT.

Responsibilities:
  • Develops scalable, repeatable and secure data structures and pipelines to organize, collect, standardize and integrate data that facilitate more complete, accurate and consistent data for insights and reporting
  • Builds efficient, high quality, integrated and increasingly real-time ETL/ELT processes using tools, programming languages and services
  • Delivers data capabilities and new data products to accelerate investments in data and democratize data across the enterprise and within the Health Care Business unit
  • Collaborates with data science team to transform data and integrate algorithms and models into automated processes
  • Builds data models, data marts and extracts to support Data Science, internal customers and third-party administrators
  • Analyzes data, understands complex systems and solves challenging data sourcing and integration problems
  • Promotes engineering excellence by simplifying, optimizing, and automating processes and workflows
  • Innovates by leveraging and practicing agile techniques to achieve efficiency, boost productivity and improve processes

Required Qualifications:
  • 1+ years hands-on experience building and deploying data pipelines
  • 1+ years' experience using Python and any ETL tool
  • Working experience in Relational databases or Hadoop with strong understanding of SQL or HQL
  • Hands on experience in building solutions in public cloud environments (Google Cloud Platform, Azure or AWS)
  • Strong problem-solving skills and critical thinking ability

Preferred Qualifications:
  • Experience building ETL data pipelines in Ab-Initio or equivalent technology
  • Experience in Google Cloud Platform Cloud services such as Big Query, Composer, Airflow, DataProc.
  • Working background with tools Tableau, Alteryx and/or ThoughtSpot
  • Basic Understanding of some ETL Tools e.g., AbInitio, Native BigQuery etc.
  • Experience with bash shell scripts, UNIX utilities & UNIX Commands, CI/CD
  • Agile practice experience with methodologies like SAFe.
  • Healthcare domain experience.

Education:
  • Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline

Anticipated Weekly Hours
40

Time Type
Full time

Pay Range

The typical pay range for this role is:

$67,980.00 - $135,960.00

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.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
  • Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
  • Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit ;br>
We anticipate the application window for this opening will close on: 06/04/2025

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.