Software Development Engineer - Google Cloud Platform Data Engineer
- CVS Health Expired
- Richardson, Texas
- Full Time
This job ad was removed 15 hours ago.
Job Description
Software Development Engineer - Google Cloud Platform Data Engineer
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
We are seeking a highly skilled and motivated
Google Cloud Platform (Google Cloud Platform) Data Engineer
to join our dynamic and growing team. In this role, you will be responsible for designing, building, and maintaining scalable and secure data pipelines and systems on Google Cloud Platform. Your work will ensure that data flows efficiently from diverse sources to analytics platforms and reporting tools, empowering data-driven decision-making across the organization.
Required Qualifications
Experience in designing and building data engineering solutions in Google Cloud Platform cloud environments
3+ years of hands-on experience with Google Cloud Platform services like Big Query, Dataflow, Pub/Sub, and Cloud Storage
3+ years of hands-on experience building modern data pipelines with Google Cloud Platform platform
3+ years of experience with reporting/analytic tools
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management
3+ years of experience with SQL, NoSQL
3+ years of experience in data engineering with a focus on microservices-based data solutions
3+ years of containerization (Docker, Kubernetes) and CI/CD for data pipeline
3+ years of experience with Python (or a comparable scripting language)
3+ years of experience with Big data and cloud architecture
3+ years of experience with deployment/scaling of apps on containerized environment (Kubernetes,)
3+ years of experience with real-time and streaming technology (Kafka, Spark Streaming)
Preferred Qualifications
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices
Experience with bash shell scripts, UNIX utilities & UNIX Commands
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
Knowledge of API development
Experience with complex systems and solving challenging analytical problems
Strong collaboration and communication skills within and across teams
Knowledge of data visualization and reporting
Experience with schema design and dimensional data modeling
Google Professional Data Engineer Certification
Knowledge of microservices
Previous healthcare experience and domain knowledge
Experience designing, building, and maintaining data processing systems
Experience architecting and building data warehouse and data lakes
Education
Bachelor's degree or equivalent work experience
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$72,100.00 - $144,200.00
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: 06/27/2025
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.
Report this job
Dice Id:
80180635
Position Id:
379beaeba1ebf...20afcd
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
We are seeking a highly skilled and motivated
Google Cloud Platform (Google Cloud Platform) Data Engineer
to join our dynamic and growing team. In this role, you will be responsible for designing, building, and maintaining scalable and secure data pipelines and systems on Google Cloud Platform. Your work will ensure that data flows efficiently from diverse sources to analytics platforms and reporting tools, empowering data-driven decision-making across the organization.
Required Qualifications
Experience in designing and building data engineering solutions in Google Cloud Platform cloud environments
3+ years of hands-on experience with Google Cloud Platform services like Big Query, Dataflow, Pub/Sub, and Cloud Storage
3+ years of hands-on experience building modern data pipelines with Google Cloud Platform platform
3+ years of experience with reporting/analytic tools
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management
3+ years of experience with SQL, NoSQL
3+ years of experience in data engineering with a focus on microservices-based data solutions
3+ years of containerization (Docker, Kubernetes) and CI/CD for data pipeline
3+ years of experience with Python (or a comparable scripting language)
3+ years of experience with Big data and cloud architecture
3+ years of experience with deployment/scaling of apps on containerized environment (Kubernetes,)
3+ years of experience with real-time and streaming technology (Kafka, Spark Streaming)
Preferred Qualifications
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices
Experience with bash shell scripts, UNIX utilities & UNIX Commands
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
Knowledge of API development
Experience with complex systems and solving challenging analytical problems
Strong collaboration and communication skills within and across teams
Knowledge of data visualization and reporting
Experience with schema design and dimensional data modeling
Google Professional Data Engineer Certification
Knowledge of microservices
Previous healthcare experience and domain knowledge
Experience designing, building, and maintaining data processing systems
Experience architecting and building data warehouse and data lakes
Education
Bachelor's degree or equivalent work experience
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$72,100.00 - $144,200.00
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: 06/27/2025
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.
Report this job
Dice Id:
80180635
Position Id:
379beaeba1ebf...20afcd
Software Development Engineer - Google Cloud Platform Data Engineer
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
We are seeking a highly skilled and motivated
Google Cloud Platform (Google Cloud Platform) Data Engineer
to join our dynamic and growing team. In this role, you will be responsible for designing, building, and maintaining scalable and secure data pipelines and systems on Google Cloud Platform. Your work will ensure that data flows efficiently from diverse sources to analytics platforms and reporting tools, empowering data-driven decision-making across the organization.
Required Qualifications
Experience in designing and building data engineering solutions in Google Cloud Platform cloud environments
3+ years of hands-on experience with Google Cloud Platform services like Big Query, Dataflow, Pub/Sub, and Cloud Storage
3+ years of hands-on experience building modern data pipelines with Google Cloud Platform platform
3+ years of experience with reporting/analytic tools
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management
3+ years of experience with SQL, NoSQL
3+ years of experience in data engineering with a focus on microservices-based data solutions
3+ years of containerization (Docker, Kubernetes) and CI/CD for data pipeline
3+ years of experience with Python (or a comparable scripting language)
3+ years of experience with Big data and cloud architecture
3+ years of experience with deployment/scaling of apps on containerized environment (Kubernetes,)
3+ years of experience with real-time and streaming technology (Kafka, Spark Streaming)
Preferred Qualifications
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices
Experience with bash shell scripts, UNIX utilities & UNIX Commands
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
Knowledge of API development
Experience with complex systems and solving challenging analytical problems
Strong collaboration and communication skills within and across teams
Knowledge of data visualization and reporting
Experience with schema design and dimensional data modeling
Google Professional Data Engineer Certification
Knowledge of microservices
Previous healthcare experience and domain knowledge
Experience designing, building, and maintaining data processing systems
Experience architecting and building data warehouse and data lakes
Education
Bachelor's degree or equivalent work experience
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$72,100.00 - $144,200.00
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: 06/27/2025
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.
Report this job
Dice Id:
80180635
Position Id:
379beaeba1ebf...20afcd
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
We are seeking a highly skilled and motivated
Google Cloud Platform (Google Cloud Platform) Data Engineer
to join our dynamic and growing team. In this role, you will be responsible for designing, building, and maintaining scalable and secure data pipelines and systems on Google Cloud Platform. Your work will ensure that data flows efficiently from diverse sources to analytics platforms and reporting tools, empowering data-driven decision-making across the organization.
Required Qualifications
Experience in designing and building data engineering solutions in Google Cloud Platform cloud environments
3+ years of hands-on experience with Google Cloud Platform services like Big Query, Dataflow, Pub/Sub, and Cloud Storage
3+ years of hands-on experience building modern data pipelines with Google Cloud Platform platform
3+ years of experience with reporting/analytic tools
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management
3+ years of experience with SQL, NoSQL
3+ years of experience in data engineering with a focus on microservices-based data solutions
3+ years of containerization (Docker, Kubernetes) and CI/CD for data pipeline
3+ years of experience with Python (or a comparable scripting language)
3+ years of experience with Big data and cloud architecture
3+ years of experience with deployment/scaling of apps on containerized environment (Kubernetes,)
3+ years of experience with real-time and streaming technology (Kafka, Spark Streaming)
Preferred Qualifications
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices
Experience with bash shell scripts, UNIX utilities & UNIX Commands
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
Knowledge of API development
Experience with complex systems and solving challenging analytical problems
Strong collaboration and communication skills within and across teams
Knowledge of data visualization and reporting
Experience with schema design and dimensional data modeling
Google Professional Data Engineer Certification
Knowledge of microservices
Previous healthcare experience and domain knowledge
Experience designing, building, and maintaining data processing systems
Experience architecting and building data warehouse and data lakes
Education
Bachelor's degree or equivalent work experience
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$72,100.00 - $144,200.00
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: 06/27/2025
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.
Report this job
Dice Id:
80180635
Position Id:
379beaeba1ebf...20afcd
Job ID: 483010104
Originally Posted on: 6/27/2025
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