Data Engineer II – IT, AI and Data Technology

SPH Consulting Group

. Design, develop, and maintain secure, reliable data pipelines .

Posted 9/17/2026full-timeHelena • Montana • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines, data integration, and data modeling, with a strong focus on SQL and relational database concepts. Proficient in documenting technical processes and collaborating with stakeholders to ensure data quality and governance.

Highest-signal resume keywords

Data EngineeringSQLData IntegrationData ModelingHealthcare Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData TransformationData ValidationData QualityData Orchestration

Soft Skills

Analytical SkillsWritten CommunicationVerbal CommunicationCustomer ServiceStakeholder Engagement

Tools & Technologies

EpicSnowflakeAzure Data FactoryAWS GlueGit

Industry Keywords

Healthcare Data PrivacyHIPAAHITECHBusiness IntelligenceETL/ELT

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain secure, reliable data pipelines
Build and maintain data integrations, data models, and enterprise data solutions
Support analytics, reporting, and informed decision-making
Transform data from Epic and other systems into trusted, governed, and reusable solutions
Design and support data extracts, data transformations, data validation, reporting datasets, analytical data assets, and production data pipelines
Collaborate with analytics, IT, vendors, and business stakeholders
Document data mappings, business rules, process steps, runbooks, and support procedures
Provide production data engineering support and contribute to data quality, orchestration, monitoring, and governance

Requirements

What you’ll need

Four or more years of relevant experience in data engineering, data analytics, database development, business intelligence, or related information technology work; or an equivalent combination of education and experience
Strong working knowledge of SQL and relational database concepts
Experience independently designing and supporting data extracts, data transformations, data validation, reporting datasets, analytical data assets, and production data pipelines
Working knowledge of data modeling, data quality, data integration, orchestration, monitoring, and production support concepts
Demonstrated ability to document technical work clearly, including data mappings, business rules, process steps, runbooks, and support procedures
Demonstrated analytical, written, verbal, customer service, and stakeholder engagement skills
Bachelor's degree in a related field is preferred; an associate degree or relevant advanced certifications with six or more years of relevant experience may be accepted
Preferred experience with healthcare providers, payers, health systems, or healthcare analytics
Preferred experience with Epic, Clarity, Caboodle, Cogito, or a comparable EHR system
Preferred experience with Snowflake or a comparable cloud data platform, BI tools, and ETL/ELT or orchestration tools
Preferred experience with Git, Azure DevOps, APIs, SFTP, or file-based data exchange patterns
Preferred experience with Python, dbt, AWS Glue, Azure Data Factory, or similar data engineering tools
Familiarity with HIPAA, HITECH, healthcare data privacy, information security practices, and responsible use of AI-enabled productivity tools
No license required

Benefits

Comp & perks

Hybrid work arrangement
Opportunity to work with analytics, IT, vendors, and business stakeholders
Professional work involving secure, reliable enterprise data solutions and healthcare analytics