Teams at Infinitive

Conduct full-cycle technical recruiting for data engineering, data architecture, and AI/ML roles. Source and screen candidates through technical discussions, manage multiple changing searches, coordinate interviews and offers, maintain ATS records, and build talent pipelines. Partner with hiring managers to clarify requirements, communicate search progress, and recruit consultants with data, AI, and consulting expertise.

Build and maintain Databricks data pipelines using Python, PySpark, Spark SQL, and Delta Lake. Ingest data from databases, APIs, files, and cloud storage; implement medallion architecture; optimize Spark workloads; add data quality checks; manage schema changes; and monitor workflows. The role also involves Git-based development, documentation, code reviews, CI/CD participation, and client-facing communication. It is hybrid and based at client sites in McLean, Virginia.

Designs, builds, and maintains scalable data pipelines and ETL processes using Databricks. Implements CI/CD and infrastructure automation with Jenkins and Terraform, develops 3NF, dimensional, and Data Vault models, optimizes performance, and ensures data quality. Collaborates with data scientists, analysts, and software engineers, documents solutions, establishes best practices, and mentors junior team members.