Data Analyst (Pyspark and SQL)
Cognizant, Phoenix, AZ, United States
About the role
As a Data Analyst (Pyspark and SQL), you will make an impact by designing and delivering scalable, cloud‑based analytics and data engineering solutions that support high‑demand, enterprise applications. You will be a valued member of Cognizant’s
Digital Engineering
team and work closely with product managers, technical leads, designers, and client stakeholders to deliver reliable, high‑quality software that drives business value.
In this role, you will:
Design, build, and deploy large‑scale analytics and data engineering solutions on cloud platforms such as
Google Cloud Platform (preferred)
or
Azure
Analyze business requirements and translate them into effective technical solutions, leading discussions with product and technical stakeholders as needed
Develop applications using industry‑standard coding practices, including writing unit tests and meeting defined code coverage targets
Ensure features are thoroughly tested, monitored, and successfully deployed to production environments
Implement and maintain monitoring and observability solutions in alignment with client recommendations
Document system designs and service specifications, and provide guidance to development teams on functional and technical documentation
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a
remote position
open to qualified applicants in
United States.
Regardless of your working arrangement, we support a healthy work‑life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on project, business, or client needs. We will always be clear about expectations.
What you need to have to be considered
6+ years of hands‑on experience in
Python development
Strong experience with
PySpark ,
SQL ,
advanced data queries , and
Airflow pipelines
Experience building analytics or data engineering solutions on cloud platforms (GCP or Azure)
Hands‑on experience or solid understanding of designing
large‑scale, high‑volume applications
Ability to collaborate effectively with cross‑functional teams and communicate technical solutions clearly
These will help you stand out
Experience with
Google BigQuery
Knowledge of
Scala
Experience with visualization tools such as
Power BI
or
Looker Studio
Exposure to enterprise‑scale data platforms and production‑grade analytics systems
We’re excited to meet people who share our passion for building high‑quality software and delivering meaningful outcomes. Even if you don’t meet every qualification listed, we encourage you to apply and highlight your transferable skills and experiences.
Compensation
The annual salary for this position ranges from
$68,422 to $131,500 , depending on experience and qualifications. This role is also eligible for Cognizant’s discretionary annual incentive program, subject to performance and applicable plan terms.
Benefits
Cognizant offers a comprehensive benefits package, including:
Medical, Dental, Vision, and Life Insurance
Paid Holidays and Paid Time Off
401(k) plan with company contributions
Short‑term and Long‑term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law
Equal Opportunity Employment
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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As a Data Analyst (Pyspark and SQL), you will make an impact by designing and delivering scalable, cloud‑based analytics and data engineering solutions that support high‑demand, enterprise applications. You will be a valued member of Cognizant’s
Digital Engineering
team and work closely with product managers, technical leads, designers, and client stakeholders to deliver reliable, high‑quality software that drives business value.
In this role, you will:
Design, build, and deploy large‑scale analytics and data engineering solutions on cloud platforms such as
Google Cloud Platform (preferred)
or
Azure
Analyze business requirements and translate them into effective technical solutions, leading discussions with product and technical stakeholders as needed
Develop applications using industry‑standard coding practices, including writing unit tests and meeting defined code coverage targets
Ensure features are thoroughly tested, monitored, and successfully deployed to production environments
Implement and maintain monitoring and observability solutions in alignment with client recommendations
Document system designs and service specifications, and provide guidance to development teams on functional and technical documentation
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a
remote position
open to qualified applicants in
United States.
Regardless of your working arrangement, we support a healthy work‑life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on project, business, or client needs. We will always be clear about expectations.
What you need to have to be considered
6+ years of hands‑on experience in
Python development
Strong experience with
PySpark ,
SQL ,
advanced data queries , and
Airflow pipelines
Experience building analytics or data engineering solutions on cloud platforms (GCP or Azure)
Hands‑on experience or solid understanding of designing
large‑scale, high‑volume applications
Ability to collaborate effectively with cross‑functional teams and communicate technical solutions clearly
These will help you stand out
Experience with
Google BigQuery
Knowledge of
Scala
Experience with visualization tools such as
Power BI
or
Looker Studio
Exposure to enterprise‑scale data platforms and production‑grade analytics systems
We’re excited to meet people who share our passion for building high‑quality software and delivering meaningful outcomes. Even if you don’t meet every qualification listed, we encourage you to apply and highlight your transferable skills and experiences.
Compensation
The annual salary for this position ranges from
$68,422 to $131,500 , depending on experience and qualifications. This role is also eligible for Cognizant’s discretionary annual incentive program, subject to performance and applicable plan terms.
Benefits
Cognizant offers a comprehensive benefits package, including:
Medical, Dental, Vision, and Life Insurance
Paid Holidays and Paid Time Off
401(k) plan with company contributions
Short‑term and Long‑term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law
Equal Opportunity Employment
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
#J-18808-Ljbffr