Senior Databricks Data Engineer

• 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, Data Frames, 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, Dev Ops practices, and deployment automation.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.
• Prior experience leading technical teams and mentoring junior engineers.

• Gather 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.

• 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.

Boynton Beach, FL

TECHNOLOGY

Senior Engineer

435473

Data Warehouse | SQL | Apache Spark

$100,000 - $130,000