Cognizant

s/w engg

Cognizant • $120K — $150K *
San Jose, CA 95123In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Strong proficiency in Python programming for data engineering and analytics.
  • Experience with optimizing Databricks SQL queries for complex data operations.
  • Practical skills in scheduling and managing Databricks Workflows for reliable data pipelines.
  • Solid understanding of PySpark fundamentals and performance tuning for large datasets.
  • 4-7 years of experience in data engineering or analytics roles with a hybrid work model.
  • Familiarity with version control, testing frameworks, and CI/CD methodologies.
  • Strong communication and problem-solving skills for cross-functional collaboration.

Responsibilities

  • Design data processing pipelines using Python and PySpark for advanced analytics.
  • Develop optimized SQL queries for performant dashboards and reliable data access.
  • Configure Databricks Workflows to orchestrate timely and consistent data jobs.
  • Implement reusable Python code components for faster development and maintenance.
  • Collaborate with teams to align data products with business objectives.
  • Optimize PySpark jobs for performance and cost efficiency in large-scale processing.
  • Ensure data quality through validation checks and logging standards.

Benefits

  • Hybrid work model allowing flexibility in work location.
  • Opportunities for continuous learning and professional development.
  • Collaboration with cross-functional teams and global stakeholders.
  • Responsibility in enhancing data solutions that positively impact the organization.
  • Promotion of a culture centered on innovation and high-quality development practices.
Full Job Description
Job Summary

This hybrid role is for an experienced developer with strong skills in Python Databricks SQL Databricks Workflows and PySpark focused on building scalable data solutions and analytics pipelines. The developer will design implement and optimize data processing workflows that support business insights improve operational efficiency and contribute to impactful data driven products for global stakeholders.

Responsibilities
  • Design robust data processing pipelines using Python and PySpark in Databricks to transform complex data into reliable curated datasets that enable advanced analytics and reporting across the organization.
  • Develop optimized Databricks SQL queries to support performant dashboards and analytical workloads ensuring data consumers can access trusted information with minimal latency and high reliability.
  • Configure and manage Databricks Workflows to orchestrate end to end data jobs ensuring timely execution effective dependency handling and consistent delivery of data assets to downstream applications.
  • Implement reusable modular code components and libraries in Python that standardize data transformations and business logic leading to faster development cycles and improved maintainability.
  • Collaborate closely with data engineers analysts and product teams in a hybrid work model to gather requirements validate solutions and align data products with strategic business objectives.
  • Optimize PySpark jobs for performance and cost efficiency by tuning configurations managing partitioning strategies and leveraging best practices for large scale distributed processing.
  • Ensure data quality and reliability by implementing validation checks error handling mechanisms and logging standards that reduce data issues and support faster troubleshooting.
  • Conduct thorough unit testing integration testing and performance benchmarking for Databricks workflows to ensure stable releases and minimize disruptions to data consumers.
  • Document datasets workflows and code logic in clear technical artifacts so that other team members can understand reuse and extend solutions effectively over time.
  • Provide support for day shift operations by monitoring data workflows resolving production issues and proactively identifying opportunities to improve data reliability without requiring travel.
  • Engage in continuous improvement by evaluating new Databricks features Python libraries and data engineering practices that can enhance scalability security and usability of data platforms.
  • Collaborate with cloud and security teams to ensure that all Databricks development adheres to organizational policies governance standards and compliance requirements benefiting stakeholders and society through responsible data use.
  • Participate in code reviews and knowledge sharing sessions in the hybrid work environment to promote high quality development practices and foster a culture of continuous learning and innovation.


Qualifications
  • Demonstrate strong proficiency in Python programming with hands on experience in writing efficient modular and testable code for data engineering and analytics use cases.
  • Exhibit solid experience in authoring and optimizing Databricks SQL queries for complex joins aggregations and analytical functions that support business reporting and data exploration.
  • Show practical expertise in building scheduling and managing Databricks Workflows including job orchestration parameterization and monitoring to support dependable data operations.
  • Apply deep understanding of PySpark fundamentals including RDDs DataFrames and Spark SQL along with performance tuning techniques suitable for large scale distributed data processing.
  • Bring relevant experience of four to seven years in data engineering or analytics focused development roles working on hybrid work models and collaborating with cross functional teams.
  • Demonstrate familiarity with version control practices testing frameworks and CI CD concepts that support reliable code deployment in modern data platforms.
  • Display strong communication and problem solving skills that enable effective collaboration with technical and nontechnical partners while focusing on delivering impactful data solutions.

Additional employment information
Compensation 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.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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.

Cognizant Careers

Join the vibrant team at Cognizant, a leading provider of information technology, consulting, and business process services. Cognizant is not just a company; it's a community where innovation, leadership, and diversity are valued and where every team member is encouraged to thrive.

Work You’ll Do

At Cognizant, we are dedicated to helping the world's leading companies build stronger businesses — not just for today but for the future. This commitment to growth and sustainability is what makes Cognizant a unique place to advance your career.

Explore Job Opportunities

Whether you're looking for an entry-level position or a more senior role, Cognizant offers a plethora of job opportunities that could be perfect for you. Our hiring process is designed to be transparent and engaging, ensuring that every candidate is able to showcase their skills and potential fully.

Innovative Work

Join a team where innovation is at the core of everything we do. Cognizant’s professionals are not just part of a company; they're part of a groundbreaking environment that combines technology, insights, and leadership to foster innovation across global industries.

Internship Programs

Kickstart your career with Cognizant’s internship programs. These opportunities allow you to gain hands-on experience, develop your professional skills, and network with experts in your field. An internship at Cognizant is a stepping stone to full-time employment and a chance to see how your studies apply in the real world.

Professional Growth and Development

Cognizant is committed to the professional growth of its employees. With access to cutting-edge training, leadership programs, and diversity initiatives, you can build a career that’s equipped for the demands of tomorrow’s business landscape.

Benefits and Culture

Our employees enjoy a range of benefits designed to support their physical, financial, and emotional well-being. Cognizant’s culture is built on a foundation of respect and inclusivity, where everyone’s contribution is valued. Join us and be part of a team that celebrates diversity and is driven to make a positive impact on the world.

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Join Our Team Search open positions that match your skills and interests. We look for passionate, curious, creative, and solution-driven team players. Ready to take the next step in your career journey? Explore the exciting employment and career opportunities waiting for you at Cognizant.

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Networking and Interviews

Enhance your career prospects at Cognizant through our robust networking events. Prepare your resume, sharpen your interview skills, and connect with leaders across the industry to unlock new career paths. At Cognizant, we don’t just offer jobs; we offer career journeys. Be part of a team that’s committed to your long-term career growth and professional development. Join Cognizant today and be a part of our success story.
Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Information Technology
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ
CTSH
* Ladders Estimates

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