
Senior Data Engineer, AI – Systems Engineering
Posted 1 hour ago

Posted 1 hour ago
• Design and construct scalable data pipelines utilizing Databricks and Spark to ingest, transform, and integrate data from various enterprise systems.
• Develop and sustain medallion architecture (Bronze, Silver, Gold) data models to generate reliable and high-performance “Golden Record” datasets.
• Apply data normalization, mapping, and entity resolution techniques (such as fuzzy matching and XREF tables) to consolidate asset data across diverse systems.
• Create data workflows to identify and highlight Shadow IT across financial, identity, endpoint, and network signals, integrating outcomes into CMDB systems.
• Collaborate with IT, Security, Finance, Procurement, and GRC teams to establish and uphold data standards for essential CMDB attributes (e.g., ownership, approval status, lifecycle).
• Develop and maintain data integrations and APIs to synchronize curated datasets with operational systems like ServiceNow and Jira Assets.
• Monitor, troubleshoot, and enhance data quality, reliability, and observability across the data platform.
• Over 9 years of experience in building and maintaining data pipelines and large-scale data platforms.
• Extensive experience with Databricks, Apache Spark, and SQL for distributed data processing and transformation.
• Familiarity with designing data models and architectures, including medallion architecture, data lakes, or lakehouse systems.
• Proficient in Python or similar programming languages for data engineering and ETL development.
• Experience integrating data from various enterprise systems (e.g., SaaS tools, financial systems, identity systems).
• Strong grasp of data quality, data governance, and entity resolution techniques across heterogeneous datasets.
• Exceptional collaboration and communication skills, with experience working cross-functionally with both technical and non-technical stakeholders.
• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options
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