Infinitive Benefits Overview

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.

Conduct observational research, interviews, focus groups, usability assessments, surveys, and workflow studies to understand enterprise AI adoption. Identify adoption barriers and workflow opportunities, synthesize qualitative and quantitative findings, and deliver actionable recommendations for product, technology, training, and change management teams. Measure AI proficiency, productivity, usability, and business impact while collaborating with stakeholders across multiple business functions in a regulated financial institution.