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Analytics Engineer

Alliance Heath Morrisville, NC

Morrisville, NC

Today

$84k - $106k/yr Full time Analytics Analytics Engineer Apache Airflow

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Job Description

The Analytics Engineer role at Alliance Health focuses on connecting data engineering and analytics delivery by creating reliable analytics pipelines, semantic models, and enterprise data assets. This position blends software engineering practices with cross-functional collaboration to translate business requirements into analytics-ready solutions.

Role Overview

This role serves as a bridge between Data Engineering and Data Analytics. You will build and manage analytics pipelines, develop semantic models and enterprise data assets, and help ensure consistent metrics and KPIs for enterprise reporting and self-service analytics.

Key Responsibilities

Design, build, and manage scalable analytics pipelines that move data from raw sources to analytics-ready assets
Develop and maintain complex Directed Acyclic Graphs (DAGs) to support logical execution and dependency management
Perform advanced extract, load, and transform processes for the analytics domain, with emphasis on data cleansing, preparation, and transformation
Architect and manage high-value semantic models using Strategy (BI) and Mosaic to centralize business metrics
Design and scale critical data assets, including metrics stores, semantic layers, and analytical cubes for enterprise-wide self-service analytics
Leverage enterprise data platforms to process large-scale datasets and implement modern data engineering workflows within a cloud environment
Support database management tasks for Strategy (BI) databases to ensure these environments are optimized and integrated with analytics pipelines
Use AI-augmented tools to accelerate code development, documentation, and technical problem-solving
Apply responsible AI practices by carefully crafting prompts and validating AI-generated code and outputs for accuracy and reliability
Partner with Data Analytics and Data Science teams to proactively define data requirements and deliver analytics-ready datasets
Collaborate with the Data Governance team to support secure, compliant, and high-quality enterprise data assets and products
Work with cross-departmental teams, including Quality Management and Medical Economics, to translate business needs into analytical solutions and data products
Apply software engineering disciplines across the analytics lifecycle, including version control, CI/CD, and automated orchestration
Integrate directly into domain teams to help connect data management responsibilities with business needs in support of federated analytics architectures

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field from an accredited college or university, plus 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) to transform raw data into analytics-ready assets
Expertise in developing and maintaining complex Directed Acyclic Graphs (DAGs) for execution logic and dependency management
Semantic modeling expertise, including architecting and managing semantic layers, metrics stores, and analytical cubes using Strategy and Mosaic
Proficiency leveraging Databricks and SQL Server to process large-scale datasets and implement modern data engineering workflows in a cloud environment
Proficiency managing PostgreSQL and SQL Server environments, including schema design, indexing, and performance tuning for analytics pipelines
Ability to use AI-driven tools such as GitHub Copilot for code development, documentation, and technical problem-solving
Proficiency applying software engineering principles including Git version control, CI/CD, and automated orchestration for the analytics lifecycle
Ability to translate complex business metrics and KPIs into technical artifacts while partnering with Data Science, Data Governance, Quality Management, and Medical Economics teams
Advanced technical skills in SQL and Python for data manipulation, integration, and modeling

Technologies

dbt
dlt
Directed Acyclic Graphs (DAGs)
Strategy (BI)
Mosaic
Databricks
SQL Server
PostgreSQL
GitHub Copilot
Git
CI/CD
SQL
Python

Location and Work Schedule

This position is full-time and hybrid. The selected candidate must come into the Home office in Morrisville on Wednesdays for business meetings as needed, and must reside within 50 miles of Morrisville, North Carolina.

Location: Morrisville, NC (hybrid)

Compensation

Salary Range: USD 83,510 - 106,475 per year
Exact compensation will be determined based on education, experience, external market data, and internal equity.

Benefits

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

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