Data Engineer, Pharmacy Data, SQL Server

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🔥 1 minute ago

💃 Latin America – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Chiri

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2025

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Chiri is an AI managed service provider (MSP) that builds company-specific AI applications and agents on a shared platform called Chiri Brain. They embed small, senior pods of engineers and operators inside client teams to scope work, deliver MVPs, connect to existing software, and scale to enterprise production while retaining a persistent organizational memory (Ontology), integration layer (Sherpa), and security/validation layer (Glacier). Their offering emphasizes avoiding vendor lock-in to specific models by keeping context model-independent, delivering governance, permissions, auditability, and AI infrastructure. Chiri targets businesses seeking to move AI from pilots to production, providing ROI-based scoping, short time-to-MVP, and ongoing operational support with the Brain platform carrying the capability after the pod steps back.

📋 Description

• Work with Medi-Span, NCPDP, NDCs, NPIs, and related pharmacy claims and reference datasets • Design and build secure ingestion pipelines using SFTP, structured flat-file drops, and third-party data feeds • Optimize SQL Server performance, analyze execution plans, improve query efficiency, and manage indexed/materialized view strategies • Work with SQL Server Always On Availability Groups and reliable database operations • Implement validation rules, constraints, reconciliation, deduplication, schema monitoring, and exception handling for incoming third-party data • Build monitoring to track ingestion, data freshness, failures, integrity, completeness, and processing performance

🎯 Requirements

• Hands-on experience with pharmacy claims, reference data, and industry identifiers, including Medi-Span, NCPDP, NDC, and NPI • Strong SQL Server and T-SQL development experience • Experience with SQL Server Always On Availability Groups • Advanced SQL performance tuning, execution-plan analysis, indexing, and query optimization • Experience building reliable SFTP-based and flat-file ETL/ELT pipelines • Experience designing data quality frameworks, validation constraints, and monitoring for third-party feeds • Experience building operational dashboards, alerts, and observability for data pipelines • Strong understanding of data lineage, reconciliation, security, and production support • Preferred: Experience with pharmacy rebate processing, PBMs, TPAs, or manufacturer reporting • Preferred: Experience with Python-based data engineering and automation • Preferred: Experience handling PHI and HIPAA-regulated data • Preferred: Experience integrating high-volume batch pipelines with near-real-time applications • Preferred: Experience with on-call rotations and availability

🏖️ Benefits

• The opportunity to build the data foundation of a new platform where accuracy, reliability, and performance directly affect business outcomes.

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