Job Description

Summary

The Data & AI Platform Engineer designs, develops, and maintains scalable data architectures and pipelines that empower analytics, reporting, machine learning, and data-driven decision making. This role partners with cross-functional teams – including data science and analytics – to deliver high-quality, reliable data solutions that support both operational and advanced AI initiatives.

Essential Duties and Responsibilities

This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time.

• Build, deploy, and monitor scalable data pipelines for ingesting, processing, and storing large-scale data from diverse sources, including pipelines optimized for machine-learning feature generation and model consumption.
• Design and optimize ELT/ETL processes incorporating automated testing and validation for accuracy, integrity and consistency, with support for ML-ready datasets and feature stores.
• Develop and refine data models, warehouses, and lakes metadata-driven frameworks for dynamic schema evolution, automated onboarding and ML feature engineering workflows.
• Partner with data analysts, data scientists, stakeholders, and other teams to translate business needs into technical specs., troubleshoot ingestion issues, and create actionable data products that enable predictive analytics and AI solutions.
• Ensure data governance, quality monitoring, security, and compliance (GDPR, HIPAA, SOC2) through documentation of flows, pipelines, and decisions., including governance of ML training data and model-input datasets.
• Maintain and optimize platform performance (cost, scalability, reliability) by identifying/remediating bottlenecks at query, pipeline, or infrastructure levels, including ML-related compute workloads.
• Implement Azure cloud data services and support CI/CD, automation, and monitoring best practices for both data and machine-learning pipelines.
• Maintains confidentiality of information processed
• Follows company policies and procedures.

Qualifications

Requires three (3) to five (5) years of data engineering, data architecture, or related field. Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Other qualifications include:

• Advanced SQL proficiency for querying/optimization, with hands-on SQL server experience.
• Proficiency in Python or scripting languages for automation data processing, and supporting machine-learning workflows.
• Experience with orchestration frameworks like Azure Data Factory, Synapse Pipelines, or equivalents, including orchestration of ML training and scoring pipelines.
• Strong knowledge of data warehousing and data lakes
• Hands-on with Azure data services (AWS/GCP familiarity a plus)

Experience in the following areas are a plus:

• Pharmacy Benefit Management or Healthcare industry knowledge 
• Experience in data governance/metadata tools
• Competence with DevOps/CI-CD practices, including MLOps concepts (model versioning, model deployment, feature stores).
• Experience supporting machine learning infrastructure , model training workflows, or operationalizing ML models
• Regulatory exposure (HIPAA, SOC2) and PBM/pharmacy data workflows
• Experience with Alteryx

Language Skills

Ability to read, analyze, and interpret common scientific and technical journals, manuals, financial reports, and legal documents. Ability to prepare reports and correspondence. Ability to communicate effectively with vendors, clients, board members and/or other employees of the organization. Effective project management skills a must. Basic Microsoft Outlook, Project, Excel, Word and Power Point skills required with a basic knowledge and understanding of IT networking principles.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases “occasionally,” “regularly,” and “frequently” correspond to the following definitions: “Occasionally” means up to 1/3 of working time, “regularly” means between 1/3 and 2/3 of working time, and “frequently” means 2/3 and more working time.)

While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

Work Environment

The position is preferably a hybrid position with 2 – 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact.

The above statement reflects the general details necessary to describe the principal functions of the occupations described and shall not be construed as a detailed description of all the work that may be inherent in the occupation.

EEO Statement

SPS Health, LLC, and all its affiliates, are equal opportunity employers committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. The Company makes hiring decisions based solely on qualifications, merit, and business needs at the time.

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