Job Title: QuickBase Data Engineer

Position Overview

We are seeking a technically sound Data Engineer with 3 - 5 years of experience specializing in QuickBase development and high-performance SQL to build, integrate, and maintain data solutions supporting business operations and enterprise analytics.

The ideal candidate will possess deep technical expertise in data pipeline engineering and low-code app development, with preferred experience handling specialty pharmacy, hub services, or patient datasets.

Key Responsibilities & Qualifications

• 5+ Years of Experience: Proven track record in data engineering, database development, and building scalable enterprise QuickBase applications from scratch.
• Advanced QuickBase Development: Hands-on expertise building custom QuickBase applications, including complex tables, dynamic dashboards, forms, workflows, and low-code QuickBase Pipelines.
• Strong SQL Proficiency: Advanced capabilities in drafting and optimizing complex SQL queries (CTEs, analytical window functions, joins, and aggregations) for data reconciliation, validation, and operational reporting.
• ETL & Data Pipeline Engineering: Proven experience designing, building, and maintaining automated ETL/ELT pipelines to extract, transform, and load structured data across multiple enterprise systems.
• API & System Integration: Proficient in connecting QuickBase with external databases, cloud storage, and third-party applications using REST APIs, webhooks, and structured formats (JSON, CSV).
• Data Quality & Governance: Skilled in implementing automated data profiling, cleansing, deduplication, and validation rules to ensure referential integrity and maintain strict data accuracy.
• Pharma & Life Sciences Domain (Desired): Prior exposure to specialty pharma, patient services, or hub datasets (e.g., patient enrollment, benefits verification, prior authorization, therapy status, or longitudinal patient journey tracking).
• Technical Communication & Problem Solving: Exceptional analytical troubleshooting skills with the ability to translate complex business requirements into clear technical documentation and reliable data workflows.