Analytics Engineer

Alliance Health

. Design, build, and manage scalable analytics pipelines from raw data to analytics-ready assets .

Posted 10/14/2026full-timeMorrisville • North Carolina • United StatesMid-LevelSenior💰 $83,510 - $106,475 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and managing scalable analytics pipelines, utilizing advanced data engineering techniques and tools such as SQL, Python, and cloud-based platforms. Proficient in developing complex Directed Acyclic Graphs (DAGs) and semantic models to support enterprise-level analytics and data governance.

Highest-signal resume keywords

Data Analytics Pipeline DesignDirected Acyclic Graphs (DAGs) DevelopmentSemantic Layer ArchitectureSQL and Python ProficiencyCI/CD and Automated Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Analytics Pipeline DesignDirected Acyclic Graphs (DAGs)SQLPythonData CleansingMetrics Store DesignSemantic Layer ManagementVersion ControlAutomated OrchestrationData Transformation

Soft Skills

CollaborationProblem-SolvingBusiness Translation

Tools & Technologies

Strategy (BI)Mosaic TechnologyDatabricksSQL ServerPostgreSQLGitHub Copilot

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Data ScienceBachelor’s Degree in Engineering

Industry Keywords

Data GovernanceEnterprise Data AssetsAnalytics LifecycleFederated Analytics ArchitecturesQuality ManagementMedical Economics

Tech Stack

Tools & technologies

CloudPostgresPythonSQL

About the role

Key responsibilities & impact

Design, build, and manage scalable analytics pipelines from raw data to analytics-ready assets
Develop and maintain complex Directed Acyclic Graphs (DAGs) for workflow execution and dependency management
Perform advanced extract, load, and transform processes for data cleansing, preparation, and transformation
Architect and manage semantic models using Strategy (BI) and Mosaic technology
Design and scale metrics stores, semantic layers, and analytical cubes for enterprise self-service analytics
Leverage cloud-based enterprise data platforms for large-scale datasets and modern data engineering workflows
Manage Strategy (BI) databases and optimize their integration with analytics pipelines
Use AI-augmented tools for code development, documentation, and technical problem-solving
Validate AI-generated code and outputs for accuracy and reliability
Partner with Data Analytics and Data Science teams to define and deliver data requirements and datasets
Collaborate with Data Governance to develop secure, compliant, high-quality enterprise data assets
Translate business needs from Quality Management and Medical Economics into analytical solutions and data products
Apply version control, CI/CD, and automated orchestration to the analytics lifecycle
Bridge data management and business needs within domain teams to support federated analytics architectures

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, Engineering or related field from an accredited college/university
At least three (3) years designing and operating data analytics pipelines
Experience designing, building, and managing scalable analytics pipelines in a modern data stack, including dbt and dlt
Expertise developing and maintaining complex Directed Acyclic Graphs (DAGs)
Expertise architecting and managing semantic layers, metrics stores, and analytical cubes using Strategy and Mosaic technology
Proficiency with Databricks and SQL Server
Proficiency managing PostgreSQL and SQL Server environments, including schema design, indexing, and performance tuning
Ability to use AI-driven tools such as GitHub Copilot
Proficiency with Git version control, CI/CD, and automated orchestration
Ability to translate complex business metrics and KPIs into technical artifacts
Advanced technical skills in SQL and Python
Satisfactory background check and credit check required after offer acceptance and before start date

Benefits

Comp & perks

Medical, Dental, Vision, Life, Long Term Disability
Generous retirement savings plan
Flexible work schedules including hybrid/remote options
Paid time off including vacation, sick leave, holiday, management leave
Dress flexibility