**We are Cognizant Artificial Intelligence** Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them. With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks. **Job Title:** **Azure data engineer (REMOTE)** **Job Summary** We are seeking an experienced Data engineer with 10 to 14 years of experience to join our team. The ideal candidate will have strong technical skills in Databricks SQL Databricks Workflows and PySpark. Experience in the Provider and Payer domains is a plus. This hybrid role requires proficiency in English for reading writing and speaking. The position operates during the day shift and does not require travel. **Responsibilities** + Design and implement scalable data architectures using Databricks SQL and Databricks Workflows. + Develop and optimize PySpark applications for data processing and analytics. + Collaborate with cross-functional teams to understand data requirements and provide solutions. + Ensure data quality and integrity through robust data validation and cleansing processes. + Create and maintain comprehensive documentation for data architectures and workflows. + Provide technical guidance and support to team members on Databricks and PySpark best practices. + Conduct performance tuning and optimization of data pipelines and workflows. + Implement data security and compliance measures to protect sensitive information. + Participate in code reviews and provide constructive feedback to peers. + Stay updated with the latest industry trends and advancements in data technologies. + Contribute to the continuous improvement of data processes and methodologies. + Engage with stakeholders to gather requirements and translate them into technical solutions. + Drive innovation by exploring new tools and techniques to enhance data processing capabilities **Qualifications** + Possess strong expertise in Databricks SQL and Databricks Workflows. + Demonstrate proficiency in developing and optimizing PySpark applications. + Have experience in the Provider and Payer domains (nice to have). + Exhibit excellent problem-solving and analytical skills. + Show strong communication skills in English for reading writing and speaking. + Display the ability to work effectively in a hybrid work model. + Demonstrate a commitment to continuous learning and professional development. **Certifications Required** Databricks Certified Associate Developer for Apache Spark Databricks Certified Professional Data Engineer **Salary and Other Compensation** Applications will be accepted until May/3/2025. The annual salary for this position is between $68,000 – $120,000 depending 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 law. **\#LI-KM1 #CB #Ind123** Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.