Associate, Data Engineer

AffirmedRx is on a mission to improve health care outcomes by bringing clarity, integrity, and trust to pharmacy benefit management. The Associate, Data Engineer is responsible for maintaining the reliability and performance of AffirmedRx’s Snowflake data warehouse and upstream data ingestion pipelines, supporting daily operations and enhancing the data warehouse through various development initiatives.

Responsibilities:

• Monitor daily Snowflake loads, file ingestion, and scheduled jobs; confirm expected files arrive, land correctly, and process without error
• Operate and maintain drop-zone / upload-zone, data-lake, and SFTP file movement (e.g., Couchdrop, Azure Data Factory, service-account–based moves); triage failures and rejected files
• Respond to file, load, and data-quality issues in a timely, well-documented way; escalate and coordinate with data engineering, pre-processing, and IT as needed
• Maintain and act on file-level monitoring and alerting — “expected vs. received” tracking, format/validation alerts, and hold-folder sweeps
• Serve as trained backup for core data-warehouse operations so critical pipelines and client deliverables continue during absences and peak periods
• Learn and document existing pipelines, jobs, schedules, and troubleshooting steps so recurring work is reproducible and not tied to a single person or personal account
• Support recurring client and regulatory file deliverables (e.g., monthly stop-loss, claims, and accumulator files) on a shared, documented schedule
• Build and maintain tables, views, and dbt models under direction; support data-model, data-vault, and schema work for reporting and analytics
• Develop and maintain crawlers, file validators, and file-rejection rules; help automate manual file downloads and uploads into the warehouse
• Assist with Snowflake administration tasks — role and grant management, MFA/security SOP adherence, storage-account configuration, clone and backup routines — following established security standards
• QA loaded data and reconcile discrepancies across source systems before release; support data-accuracy checks and audits
• Maintain clear documentation: pipelines, data sources, schedules, SOPs, and runbooks (including dev-to-production process)
• Partner with data engineering, pre-processing, analytics, and IT/security to gather requirements and hand work into production

Requirements:

• Degree in a quantitative or technical field (Computer Science, Information Systems, Data, Engineering) or equivalent experience; this is an early-career role
• 1–3 years of experience working with SQL and cloud data warehouse platforms, preferably Snowflake
• Working SQL skills and familiarity with a cloud data warehouse (Snowflake preferred; comparable platforms considered)
• Comfort with data files and pipelines — CSV/flat files, SFTP, encryption/PGP concepts, and troubleshooting file/load errors
• Detail orientation, reliability, and a documentation habit; able to follow runbooks and escalate appropriately
• Willingness to participate in a shared support/backup rotation for time-sensitive loads and deliverables
• Fully remote; reliable internet and a suitable home work environment
• Occasional off-hours support may be required for time-sensitive loads, client files, or incident response
• Willingness and ability to travel (10%-20%)
• Exposure to dbt, Python for data work, Azure (Data Factory, storage/data lake), or Couchdrop-style file automation
• Familiarity with data modeling, data vault, or warehouse monitoring and alerting
• Healthcare, pharmacy benefit management (PBM), or claims/eligibility data exposure, and awareness of PHI/HIPAA handling
• Familiarity with pharmacy data concepts (NDC, eligibility, accumulators, formulary) is a plus