Azure Databricks Senior Developer - Louisville
19 hours ago
Job description
- External
About AI & Analytics:
Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses.
By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need.
Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models Cognizant's AIA practice takes insights that are buried in data and provide businesses with a clear way to transform how they source, interpret, and consume their information.
Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
Azure Databricks Senior DeveloperNeed associate to be based out of Dallas TX / Louisville KY
Role Summary
The Azure Databricks Senior Developer is responsible for designing, developing, and optimizing data engineering solutions on Azure using Databricks, Spark, and related cloud services.
This role focuses on building scalable pipelines, enabling analytics and AI workloads, and ensuring high‑quality, reliable data delivery across the enterprise.
Key ResponsibilitiesDesign and develop scalable data pipelines using Azure Databricks, PySpark, and Delta Lake.
Build and optimize ETL/ELT workflows for batch and streaming data.
Integrate Databricks with Azure services such as ADLS, Azure Data Factory, Azure Synapse, Key Vault, and Event Hub/Kafka.
Implement data quality checks, validation frameworks, and performance tuning.
Develop reusable components, notebooks, jobs, and CI/CD pipelines.
Collaborate with architects, data modelers, and business teams to translate requirements into technical solutions.
Troubleshoot production issues, optimize compute costs, and ensure platform reliability.
Mentor junior developers and contribute to coding standards and best practices.
Required Skills
Strong hands‑on experience with Azure Databricks, PySpark, Spark SQL, and Delta Lake.
Solid understanding of distributed computing, data partitioning, and performance optimization.
Experience with Azure Data Factory, Azure Data Lake Storage (ADLS), and Azure DevOps.
Proficiency in Python, SQL, and data transformation logic.
Experience building CI/CD pipelines for data engineering workloads.
Strong debugging, problem‑solving, and communication skills.
Preferred Qualifications
6–10+ years in data engineering; 3+ years with Databricks.
Experience with streaming frameworks (Structured Streaming, Kafka/Event Hub).
Knowledge of Lakehouse architecture and medallion design patterns.
Experience in insurance, financial services, or other regulated industries.
Databricks or Azure certifications are a plus.
Salary And Other Compensation
Applications will be accepted until February 27th 2026.
The annual salary for this position is between $100- $120K depending on experience and other qualifications of the successful candidate.
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
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.
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