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About the job

Job Title & Specialty Area: Analytics Engineer II (Microsoft Fabric, Epic Cogito, Power BI)

Department: DPMSC Admin

Location: Dallas, TX

Shift: 8:00 am to 5:00 pm

Job Type: Remote (Texas)

Why Children's Health?

At Children's Health, our mission is to Make Life Better for Children, and we recognize that their health plays a crucial role in achieving this goal.

Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being.

Our dedication to promoting children's health extends beyond our organization and encompasses the broader community. Together, we can make a significant difference in the lives of children and contribute to a brighter and healthier future for all.

Summary: Under the direction of data & analytics engineering leadership, the Analytics Engineer II will own and operationalize analytics artifacts for one or more domains (e.g. pharmacy, pediatrics service line, supply chain), build and maintain metrics stores/semantic layers, improve reuse and performance of data models, and enable domain adoption in a federated model. This role will work closely with operational stakeholders, product team members, and data stewards to ensure successful delivery of analytics products that support business goals. Analytics engineers bridge data engineering and analytics development to deliver analytics-ready data assets, semantic layers, metric stores, analytics models/marts, and operationalized analytics products for clinical and operational domains at Children's Health. This role family supports domain-aligned analytics, federated CI/CD and lifecycle management for analytics artifacts, and close collaboration with clinical, financial, supplychain and operational stakeholders. Epic Cogito Fundamentals and Caboodle Data Model experience highly preferred.

Responsibilities: Core Responsibilities:

Prepare and model analytically ready datasets; implement and maintain semantic layers, metrics stores or data marts; apply data engineering best practices to analytics (version control, CI/CD, environment management); collaborate with BI analysts, data scientists and domain stakeholders to operationalize analytics products; ensure alignment with governance and data quality requirements

Level Specific Requirements:

Design and implement semantic layer components (metrics store objects, analytical models, data marts) to support domain KPIs and BI consumption

Implement automated testing, CI/CD pipelines and deployment promotion for analytics products; own environment management for domain artifacts

Lead data quality monitoring for analytics products and collaborate with data stewards to remediate issues; maintain metadata and lineage in the catalog

Optimize query and semantic performance for BI tools; implement best practices to reduce dashboard sprawl and inconsistent metrics

Collaborate with clinical and operational stakeholders to translate clinical workflows and EHR/ERP data into repeatable analytics products (e.g., procedure-level cost and outcomes dashboards, inventory visibility reports)

Domain collaboration (e.g. clinical, financial, or supply chain), stakeholder facilitation and problem-solving skills

Ability to translate business KPIs into reproducible metrics-as-code and communicate technical concepts to a wide range of stakeholders

Ability to mentor junior engineers

Healthcare domain considerations:

Work with EHR/clinical data and supply‑chain/ERP data sources, follow interoperability expectations (FHIR/HL7 awareness for clinical integrations), support clinical analytics use cases (procedural analytics, outcomes measurement, preference card analytics) and supply‑chain analytics (spend, contract, inventory visibility) when relevant

Engineering practices to measure and apply:

Version control of analytics content, separate dev/test/prod environments, workflow orchestration, metadata/cataloging and performance testing to improve model uptime, adoption, code quality and defect resolution

Governance & risk:

Adhere to organizational data governance, privacy and security requirements (e.g., HIPAA-relevant controls), and collaborate with governance or ARB where analytics/AI artifacts will be used in clinical or high-risk contexts

How You’ll Be Successful:

WORK EXPERIENCE

At least 3 years In analytics/data roles with demonstrated delivery of analytics artifacts, experience with dbt or other analytics engineering tools, and hands-on CI/CD and orchestration tool usage. Required

At least 3 years Advanced SQL, dbt or equivalent transformation frameworks, familiarity with metrics store concepts and knowledge-graph/ontology basics for semantic enrichment where applicable Required

At least 3 years Ability to implement CI/CD for analytics, automated testing, environment promotion and metadata/catalog integration Required

At least 3 years Proficiency with at least one cloud data platform (Snowflake, Databricks, MS Fabric) and BI tool optimizations (Power BI/Tableau performance tuning) Required

At least 1 year Exposure to machine learning, data science, or artificial intelligence concepts Preferred

At least 1 year Experience working in healthcare or other regulated industry Preferred

EDUCATION

Four-year Bachelor's degree or equivalent experience in Computer Science, MIS, Engineering, or related field Required

LICENSES AND CERTIFICATIONS

Analytics related certifications (e.g. Dbt Analytics Engineering, Microsoft Fabric Analytics Engineer Associate, Snowflake SnowPro, Databricks, Epic Cogito) or a learning plan requirement to be provided with offer includes missing relevant certifications needed to perform role, and certifications must be obtained within 180 days of starting first class Required

A Place Where You Belong

We put our people first. We welcome, value, and respect the beliefs, identities and experiences of our patients and colleagues. We are committed to delivering culturally effective care, creating meaningful partnerships in the communities we serve, and equipping and developing our team members to make Children’s Health a place where everyone can contribute.

Holistic Benefits – How We’ll Care for You:

· Employee portion of medical plan premiums are covered after 3 years.

· 4%-10% employee savings plan match based on tenure

· Paid Parental Leave (up to 12 weeks)

· Caregiver Leave

· Adoption and surrogacy reimbursement

As an equal opportunity employer, Children's Health does not discriminate against employees or applicants because of race, color, religion, sex, gender identity and expression, sexual orientation, age, national origin, veteran or military status, disability, or genetic information or any other Federal or State legally-protected status or class. This applies to all aspects of the employer-employee relationship including but not limited to recruitment, hiring, promotion, transfer pay, training, discipline, workforce adjustments, termination, employee benefits, and any other employment-related activity.