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# Senior Databricks Data Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Boynton Beach, FL, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Amazon Web Services, Amazon S3, Data Analysis, Apache HTTP Server, Big Data, Cloud Engineering, Code Review, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Software Design Documents, DevOps, Distributed Computing Environment, Distributed Systems, Apache Hive, Identity and Access Management, Performance Tuning, Software Deployment, PL-SQL, SQL Databases, Data Ingestion, Sql Optimization, Apache Spark, Git, Data Lakes, Pyspark, Deployment Automation, Real Time Data, Physical Data Models, Data Pipelines, Databricks
- **Published:** October 16, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-databricks-data-engineer-boynton-beach-fl--cd482caa-d36e-41ab-9f65-8bf8c42a49df

## About the Role

Required Skills: Data Warehouse | SQL | Apache Spark

Experience: 8 - 10 Years, * 8+ years of experience in Data Engineering, ETL/ELT, and Data Warehousing.

 * 5+ years of hands-on experience with Databricks, PySpark, and Apache Spark.
 * Strong expertise in Delta Lake, Lakehouse Architecture, and large-scale data processing.
 * Advanced SQL and PL/SQL development skills.
 * Experience designing and implementing scalable batch and real-time data pipelines.
 * Strong knowledge of dimensional, relational, and analytical data modeling.
 * Experience with Spark SQL, DataFrames, Hive, and distributed computing frameworks.
 * Hands-on experience with AWS services, including S3, IAM, Glue, Lambda, and Redshift.
 * Strong understanding of Databricks-AWS integrations and cloud-native architectures.
 * Experience with data quality, performance tuning, optimization, and troubleshooting.
 * Knowledge of CI/CD, Git, DevOps practices, and deployment automation.
 * Excellent analytical, problem-solving, communication, and stakeholder management skills.
 * Prior experience leading technical teams and mentoring junior engineers.

## Description

Role: Senior EngineerRequired Skills: Data Warehouse | SQL | Apache SparkExperience: 8 - 10 YearsFunction: TECHNOLOGYApply By: 2026-12-07Must Have Technical/Functional Skills8+ years of experience in Data Engineering, ETL/ELT, and Data Warehousing.5+ years of hands-on experience with Databricks, PySpark, and Apache Spark.Strong expertise in Delta Lake, Lakehouse Architecture, and large-scale data processing.Advanced SQL and PL/SQL development skills.Experience designing and implementing scalable batch and real-time data pipelines.Strong knowledge of dimensional, relational, and analytical data modeling.Experience with Spark SQL, DataFrames, Hive, and distributed computing frameworks.Hands-on experience with AWS services, including S3, IAM, Glue, Lambda, and Redshift.Strong understanding of Databricks-AWS integrations and cloud-native architectures.Experience with data quality, performance tuning, optimization, and troubleshooting.Knowledge of CI/CD, Git, DevOps practices, and deployment automation.Excellent analytical, problem-solving, communication, and stakeholder management skills.Prior experience leading technical teams and mentoring junior engineers.Roles & ResponsibilitiesGather and analyze business and technical requirements from stakeholders and clients.Design end-to-end data solutions, architectures, and scalable data models.Develop and optimize data ingestion, transformation, and analytics pipelines using Databricks and PySpark.Create and maintain conceptual, logical, and physical data models.Lead solution design activities, including High-Level and Low-Level Design documentation.Implement data quality, monitoring, governance, and performance optimization best practices.Collaborate with Product Owners, Architects, and Business Analysts to define project scope and delivery plans.Provide technical leadership, mentoring, and guidance to onshore and offshore teams.Conduct design reviews, code reviews, and troubleshooting sessions to ensure solution quality.Drive continuous improvements in platform performance, scalability, reliability, and cost optimization.Support production deployments, issue resolution, and root cause analysis activities.Contribute to technology roadmaps and recommend innovative solutions aligned with business goals.TCS Employee Benefits Summary:Discretionary Annual Incentive.Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.Family Support: Maternal & Parental Leaves.Insurance Options: Aut& Home Insurance, Identity Theft Protection.Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.Time Off: Vacation, Time Off, Sick Leave & Holidays.Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.#LI-KR3Salary Range-$100,000-$130,000 a year