Data Engineer II, AI Enablement

Avalon Healthcare Solutions

Data Engineer developing and maintaining data pipelines for Avalon Healthcare Solutions. Supporting analytical reporting and AI solutions using diverse data engineering methods.

Posted 7/15/2026full-timeTampa • Florida • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in developing and maintaining data pipelines and datasets for analytical reporting and AI solutions, with strong expertise in SQL data management, database design, and data warehousing techniques. Capable of ensuring data quality and aligning data systems with business goals while enabling access for analysts and stakeholders.

Highest-signal resume keywords

SQL Data ManagementDatabase DesignSnowflake Data StructuresData LakesAWS Cloud Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Engineering MethodsData Quality AssessmentData Structures MaintenanceAnalytical Reporting

Soft Skills

Problem SolvingCommunication

Tools & Technologies

SnowflakeAWS

Industry Keywords

Artificial IntelligenceData AnalyticsMedallion Data WarehousingStructured DataUnstructured Data

Tech Stack

Tools & technologies

AWSCloudSQL

About the role

Key responsibilities & impact

The Data Engineer, AI Enablement develops and maintains data pipelines and datasets that support analytical reporting and artificial intelligence solutions.
Using a variety of data engineering methods, this role works with structured, semi-structured, and unstructured data to prepare datasets for analytics, artificial intelligence, agents, and modeling use cases.
Support the construction and ongoing maintenance of data structures used for data-driven and AI-enabled analyses.
Assess and report on data quality and contribute to efficiency improvements by aligning data and AI systems with defined business and analytical goals.
Enable analysts, AI developers, and business stakeholders to access, consume, and operationalize valid and reliable data across internal and external use cases.

Requirements

What you’ll need

Strong, hands-on experience with SQL data management and database design, and preferably Snowflake data structures and best practices
Excellent problem solving and communication skills
Experience with data lakes and medallion data warehousing
Ability and desire to learn new software, techniques, and methods
Familiar with cloud service offerings such as AWS

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off