Senior Data Reporting Engineer

Added - a day ago Senior Data Reporting Engineer Information Technology Deerfield , Illinois | Contract

Senior Data & Analytics Engineer
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Title: Senior Data Reporting Engineer

Location: Deerfield, IL – Hybrid (4 Days Onsite / 1 Day Remote)

Duration & Type: 6-Month Contract with Potential for Extension or Full-Time Conversion – Hours, Mon-Fri: 8-5pm CST

• Competitive hourly W2 rate ($51-$53.50 p/h)
• Access to Healthcare & Dental Insurance Plan of Choice

(details available upon request)

We are seeking a Senior Data Reporting Engineer to design, develop, automate, and optimize scalable data solutions supporting enterprise reporting, analytics, research, and large-scale operational processes. This role combines strong data engineering and development capabilities with the analytical skills necessary to transform complex datasets into meaningful business insights.

The ideal candidate will bring approximately 5+ years of experience in data/reporting engineering, analytics engineering, data development, or a related technical field, although candidates with fewer years may be considered when they demonstrate the appropriate technical depth.

Core technical requirements include strong hands-on experience with Databricks, SQL, CI/CD pipelines, and development/Dev Ops practices. Experience working with comparable enterprise technologies and environments such as Snowflake, Teradata, SaaS platforms, Azure, or other cloud-based data platforms is also valuable.

Depending on team alignment, this individual may lean more heavily toward either data engineering and operationalization or analytics, reporting, research, and modeling. Across both areas, the consultant will work with complex datasets, develop and support data pipelines, automate data processes, investigate business trends, and create scalable solutions that enable better business and operational decision-making. Experience with in healthcare, pharmacy, patient, or related analytical environments is particularly valuable.

• Design, develop, maintain, and optimize scalable data solutions supporting enterprise reporting, analytics, research, and operational business processes.
• Build and support robust data pipelines that ingest, transform, process, and deliver large volumes of data from internal and external sources.
• Develop and optimize complex SQL queries, data transformations, and processing workflows.
• Work extensively within Databricks and cloud-based data environments to develop scalable data processing and analytical solutions.
• Support the migration and modernization of existing data processes from legacy or enterprise environments such as Teradata and SaaS platforms into Azure Databricks.
• Develop automated processes supporting large-scale operational datasets, enrollment data, external files, reporting feeds, and other recurring business processes.
• Participate extensively in CI/CD, Dev Ops, deployment, testing, version control, and production support processes for enterprise data solutions.
• Build reliable, automated data processes with a strong focus on scalability, performance, maintainability, and operational stability.
• Develop and maintain daily, weekly, and recurring reporting processes and the underlying pipelines required to support them.
• Analyze large and complex datasets to identify trends, patterns, anomalies, volume changes, and underlying business issues.
• Investigate changes in business performance or operational activity and determine the data-driven factors contributing to those changes.
• Develop reporting datasets, analytical frameworks, KPIs, quality measures, and other data products that support business decision‑making.
• Support analytical and research initiatives involving areas such as pharmacy practice, patient and medication quality, service programs, targeting,…