Databricks Data Engineer

Title: Lead Data Engineer Location: Roseland, NJ Schedule: Hybrid – 3 days in the office mandatory 06-12+ Months contract to hire No H1B or OPT/CPT for this role. Need locals Only!!! F2F interview!! The ideal candidate is a hands-on Senior/Lead Data Engineer with deep expertise in Databricks, PySpark, Python, SQL, and AWS. They have a proven track record building and optimizing scalable data pipelines, integrating data from multiple source systems including APIs, and deploying solutions using CI/CD tools such as Jenkins and Terraform. This person communicates clearly with both technical and business teams, can mentor junior engineers, and is comfortable working in a fast-paced environment involving data lakes, analytics platforms, and real-time streaming solutions. Experience with Salesforce Data Cloud, CRM Analytics, or Tableau is a strong plus. To Succeed in This Role Ability to define and design complex data integration solutions with general direction and stakeholder access Capability to work independently and as part of a global, multi-faceted data warehousing and analytics team Advanced knowledge of cloud-based data engineering and data warehousing solutions (AWS, Databricks, Snowflake) Strong skills in RDBMS platforms (Oracle, SQL Server) Familiarity with NoSQL platforms (MongoDB) Strong understanding of data modeling, SQL, Python, and data engineering concepts Knowledge of data quality, compliance, governance, and security principles Proficiency in Python, SQL, and PySpark Experience building data ingestion pipelines for structured and unstructured data Ability to design and develop scalable data pipelines Knowledge of cloud and on-prem contact center technologies (Salesforce, ServiceNow, Oracle CRM, Genesys Cloud/InfoMart, Calabrio Voice Recording, Nuance Voice Biometrics, IBM Chatbot, etc.) – highly desirable Experience with GitHub, JIRA, Confluence Working experience with CI/CD processes (Jenkins, Terraform, Splunk, Dynatrace) Highly innovative with strong systems thinking, design thinking, and process-simplification mindset Detail-oriented with strong analytical, problem-solving, and organizational skills Ability to communicate clearly with technical and business stakeholders Knowledge of Informatica PowerCenter, Data Quality, and Data Catalog – a plus Knowledge of Agile methodologies – a plus Databricks Data Engineer Associate certification – a plus Data Engineer Requirements Bachelor’s degree in Computer Science, Information Technology, or a related field 8+ years of experience integrating and transforming contact center data into standardized, consumption-ready datasets with KPIs, supporting metrics, attributes, and enterprise hierarchies Expertise in designing and deploying data integration solutions using web services with client-driven workflows and subscription features Knowledge of mathematical foundations and statistical analysis Strong interpersonal skills Excellent communication and presentation skills Advanced troubleshooting skills