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# Senior Data Engineer

- **Company:** Capgemini
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $89,400.0 - $166,398.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, DevOps, Python (Programming Language), Performance Tuning, Cloud Services, SQL Databases, Data Streaming, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Data Analytics, Data Lakehouse, Data Pipelines, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3472118352&tx=HT7872THT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 5+ years of hands-on experience designing and developing ETL/ELT pipelines using Databricks, Apache Spark, and PySpark .
 * Strong proficiency in Python, SQL, and PySpark .
 * 5+ years of Project/Delivery Management experience.
 * Experience with Delta Lake, Data Lakehouse architecture, streaming data, and data warehousing .
 * Hands-on experience with AWS, Azure, or GCP .
 * Knowledge of CI/CD, Git, DevOps practices, and performance tuning .

## Description

We are seeking a Senior Data Engineer with expertise in Databricks, Apache Spark, and Cloud Data Platforms to lead data engineering initiatives while managing client delivery, support operations, and project execution.

Your role

 * Design, build, and optimize scalable data pipelines and lakehouse solutions.
 * Lead project delivery, resource planning, risk management, and stakeholder communication.
 * Manage support operations, ensuring SLA compliance and high customer satisfaction.
 * Collaborate with business, analytics, and engineering teams to deliver data-driven solutions.
 * Develop dashboards, reports, and automation initiatives to improve operational efficiency.
 * Monitor cloud and platform costs (GCP/Snowflake) and drive cost optimization efforts.
 * Manage client relationships, monthly reviews, escalations, and commercial discussions.
 * Identify process improvements, support new application onboarding, and drive continuous innovation.