JOB REQUIREMENTS: 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 theorganization. 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. PI282425535 *** APPLICATION
INSTRUCTIONS: Apply Online:
https://www.click2apply.net/KgYEEVSaLZn5kHgwdFE7e8
