Cognizant

Data Engineer | ML-Driven Data Pipelines

Cognizant$100K — $145K *
Retail & Consumer Goods
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Substantial experience in designing and implementing Python-based solutions with cloud data services.
  • Strong proficiency in modeling relational and analytical schemas for Cloud SQL and BigQuery.
  • Practical knowledge of query optimization and data partitioning for production workloads.
  • Experience with cloud security concepts like identity management and encryption.
  • Familiarity with CI/CD practices and infrastructure as code for deployment.
  • Excellent communication skills for collaboration with multidisciplinary teams.
  • Exposure to hybrid and enterprise environments for pragmatic architecture design.

Responsibilities

  • Design robust data and application architectures using Python, Cloud SQL, and BigQuery.
  • Define blueprints and logical data models that align with enterprise standards.
  • Develop reusable patterns for rapid delivery of secure data solutions.
  • Translate business requirements into optimized technical designs for data pipelines.
  • Provide guidance on Python coding, query optimization, and resource configuration.
  • Review solutions for adherence to architectural principles and compliance requirements.
  • Establish governance for schema changes and access controls to protect sensitive information.

Benefits

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan
Full Job Description
Must have retail experience .

Job Summary

This Architect role focuses on designing resilient data and application solutions using Python Cloud SQL and BigQuery within a hybrid work model. The Architect will define reference architectures guide implementation teams and ensure that data platforms are secure scalable and optimized for analytics. The role emphasizes quality reusability and alignment with enterprise standards.

Responsibilities
  • Design robust end to end data and application architectures using Python Cloud SQL and BigQuery to support highly scalable analytics platforms
  • Define target state blueprints and logical data models that align with enterprise standards while ensuring compatibility with existing systems and tools
  • Develop reusable patterns and reference implementations that enable delivery teams to rapidly build secure and reliable data solutions in hybrid environments
  • Oversee translation of business requirements into technical designs ensuring that data pipelines schemas and services are optimized for performance and maintainability
  • Provide detailed guidance to developers on best practices for Python coding query optimization and configuration of Cloud SQL and BigQuery resources
  • Review solution designs and implementation artifacts to ensure adherence to architectural principles security policies and regulatory compliance requirements
  • Establish governance for schema changes data lifecycle management and access controls to protect sensitive information and improve audit readiness
  • Collaborate closely with product owners data engineers and analysts to prioritize features and shape solutions that create measurable business value
  • Drive continuous improvement by analyzing production incidents conducting root cause analysis and evolving architecture patterns to reduce operational risk
  • Evaluate emerging cloud data services and Python frameworks to recommend practical innovations that improve efficiency reliability and developer productivity
  • Document architecture decisions data flows and interface contracts in a clear and maintainable manner to support shared understanding across distributed teams
  • Coordinate with infrastructure and platform teams to validate capacity cost models and service level objectives for Cloud SQL and BigQuery based solutions
  • Guide performance tuning activities by analyzing workloads refining queries restructuring tables and recommending indexing or partitioning strategies


Qualifications
  • Showcase substantial experience in designing and implementing Python based solutions that integrate with cloud native data services and analytics tools
  • Demonstrate strong proficiency in modeling relational and analytical schemas and implementing them effectively in Cloud SQL and BigQuery environments
  • Apply practical knowledge of query optimization data partitioning and caching techniques to achieve predictable performance under production workloads
  • Utilize experience with cloud security concepts including identity management encryption and network boundaries to design secure data platforms
  • Exhibit familiarity with CI and CD practices automated testing and infrastructure as code to support reliable deployment of data and application components
  • Combine excellent communication skills with the ability to collaborate across multidisciplinary teams and guide stakeholders through complex technical decisions
  • Leverage prior exposure to hybrid and enterprise environments to ensure that proposed architectures are pragmatic maintainable and aligned to organizational goals

Salary and Other Compensation:

The annual salary for this position is between $100-145Kdepending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-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 la

About Cognizant

TriZetto is Powering Integrated Healthcare Management. With technology solutions touching more than half the U.S. population today, TriZetto is uniquely positioned to drive the convergence of core benefit administration, care management and constituent engagement. TriZetto provides premier information technology solutions that enable payers and other constituents in the healthcare supply chain to improve the coordination of benefits and care for healthcare consumers.

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Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ

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