7 days ago
Base Salary
$68k - $109k/yr
Responsibilities
- Act as the onsite technical lead and primary technical contact for customer stakeholders.
- Translate business and technical requirements into scalable data engineering solutions.
- Design, develop, review, debug, and support solutions using Python, PySpark, and SQL.
- Lead data ingestion, transformation, processing, integration, architecture, and technical design activities.
- Coordinate technical direction, design reviews, code reviews, releases, deployments, and production support.
- Collaborate with offshore engineering teams and coordinate onsite-offshore delivery.
- Troubleshoot complex application, data, and performance issues and drive them to resolution.
- Identify automation, modernization, and performance improvement opportunities across the data landscape.
- Support estimation, planning, dependency management, technical risk identification, and implementation activities.
- Mentor team members and support technical capability development.
Requirements
- Strong hands-on experience with Python and PySpark.
- Advanced SQL knowledge, including complex queries, data transformations, and performance optimization.
- Strong understanding of data engineering and ETL/ELT concepts.
- Experience with Microsoft Fabric or at least one major cloud platform such as Azure, AWS, or GCP.
- Understanding of modern data architectures, data pipelines, data lakes or lakehouses, and analytical platforms.
- Experience developing, debugging, and supporting enterprise-scale data solutions.
- Understanding of software engineering practices, source control, CI/CD, and deployment processes.
- Strong customer-facing communication, stakeholder management, analytical, troubleshooting, and problem-solving skills.
- Ability to lead technical discussions, work independently, manage priorities and risks, and coordinate geographically distributed teams.
- Preferred experience with Power BI, Microsoft Fabric components, Databricks, distributed data-processing platforms, or cloud and data-platform modernization and migration programs.
Benefits
- Hybrid work arrangement requiring three days per week in a client or Cognizant office in Hartford, Connecticut.
- Medical, dental, vision, and life insurance.
- Paid holidays and paid time off.
- 401(k) plan and contributions.
- Long-term and short-term disability coverage.
- Paid parental leave.
- Employee Stock Purchase Plan.
- Eligible for a discretionary annual incentive program based on performance and applicable plan terms.
Tech Stack
Categories
Data Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.