Data Classification Engineer/Lead - NJ/TX - Hybrid

Senior Data Engineer Lead - 15+yrs- NJ/TX Lead complete Engg. Analytics team onsite/offshoreEnd to end delivery ownership, including agile project management, delivery oversight, quality of deliverables etc.Provide leadership and guidance on data classification, data governance, data engineering activities in scopeAct as single PoC to client stakeholderActively engage with client providing solution ideas and identify innovation opportunities.Drive AI led way of delivery across the board.Skills:

Dallas, TX or Basking ridge, NJ (3 - 4 days onsite in a week) Senior Data Engg Lead - 15+yrs Lead complete Engg. Analytics team onsite/offshoreEnd to end delivery ownership, including agile project management, delivery oversight, quality of deliverables etc.Provide leadership and guidance on data classification, data governance, data engineering activities in scopeAct as single PoC to client stakeholderActively engage with client providing solution ideas and identify innovation opportunities.Dr

Data Engineer - 12+ yrs Mandatory: Recent experience with telecom projects.data classification, data governance, data engineering workloads in scopeinteract with business users, IT teams to capture information necessary to complete data classificationpush classified data sets onto marketplacebuild orchestration workflows in AirflowSkills: Data Governance, data classification experience required, Google Cloud Platform, Big Query, Airflow, python, Github Copilot, Cursor / Claude Code preferred etc

DATA ENGINEERING & BI LEAD Job Description Location: Houston, TX (Hybrid) Engagement Type: Contract-to-Hire (C2H) Work Model: Hybrid 3 days onsite / 2 days remote (subject to team schedule) Authorization Must be authorized to work in the United States without employer sponsorship. H1B visa holders will not be considered. W2 or Corp-to-Corp. ABOUT THE ROLE We are looking for a technically strong, business-savvy Data Engineering & BI Lead to join our Houston-based team on a Contract-to-Hire bas