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We are looking for a Data Engineer to join a long-term contract opportunity. This role is suited for someone who can build and optimize modern data pipelines while partnering across technical teams to keep delivery on schedule and data platforms running reliably. The ideal candidate brings strong hands-on experience with large-scale data processing, integration frameworks, and disciplined execution in fast-moving environments.
Job Responsibility
Design, build, and enhance scalable data pipelines that support reliable ingestion, transformation, and delivery of critical business data
Develop and maintain ETL workflows using Python and distributed data technologies to improve performance, accuracy, and maintainability
Collaborate with engineering, security, IT, and external stakeholders to coordinate dependencies, resolve blockers, and keep initiatives progressing smoothly
Monitor project milestones, surface risks early, and help drive timely execution through clear status updates and strong follow-through
Implement data processing solutions using tools such as Apache Spark, Hadoop, and Kafka to support high-volume and real-time data needs
Partner with cross-functional teams to validate testing readiness, support controlled releases, and promote successful adoption of new data capabilities
Contribute to data governance and lifecycle practices by helping ensure quality standards, consistency, and operational reliability across platforms
Requirements
Strong technical career foundation — grown into management from a hands-on IT or platform engineering background
carries genuine technical credibility with engineers and vendors
Proven experience directly managing IT or Platform Engineering teams
Solid exposure to an IAM/IGA or identity modernization program — can manage vendors and milestones confidently without being hands-on technical
Strong program and delivery management — milestone tracking, risk escalation, vendor accountability
Experience managing external implementation partners or detail oriented services vendors
US Eastern timezone availability — full business day
High autonomy — operational from week one, comfortable in ambiguity
Executive-level communication — proactively keeps leadership informed
Nice to have
Familiarity with Okta, Lumos, or Delinea
Experience managing distributed US + international teams
Prior interim or bridge management experience
Agile, Jira-based roadmap and delivery management
High-growth or fast-paced tech company background
Network as a Service (NaaS) or network infrastructure program exposure