Engineer Jobs in Fort Smith, AR

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Analytics Engineer II

Summit Utilities Inc Fort Smith, AR

Fort Smith, AR

Today

Full time Azure Platform Azure Sql Data

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Job Description

Analytics Engineer II designs and delivers enterprise analytics data products for reporting, regulatory submissions, and operational decision-making.

Responsibilities

Design, build, and maintain dbt models that transform source data into governed, analytics-ready datasets across one or more subject areas
Develop and maintain dbt schema tests including not_null, unique, accepted_values, and relationships, plus source freshness checks to enforce data quality SLAs
Optimize SQL transformations for performance, cost-efficiency (CU usage), and maintainability within Microsoft Fabric and Azure SQL
Investigate root causes of data discrepancies between upstream and downstream systems and partner with Data Engineers on pipeline remediation
Collect and document data requirements from Data Analysts, business partners, and regulatory teams; translate needs into dbt model designs
Implement and maintain dbt project structure using refs, sources, YAML configs, and packages including dbt_utils and dbt_expectations
Configure and support incremental materializations within dbt projects
Author clear, business-friendly documentation in dbt’s documentation site, including model purpose, column definitions, and lineage notes
Collaborate with Data Engineers on pipeline requirements and shared standards for ingestion, modeling, and monitoring
Contribute to source control and CI/CD for dbt projects, including pull request review and deployment automation
Support testing and validation for pipeline enhancements, schema changes, and source onboarding
Mentor Analytics Engineer I peers through pair-programming, code review, and knowledge sharing
Participate in team standups, sprint planning, code reviews, and architecture discussions
Build working knowledge of utility data domains including billing, AMI, SCADA, SAP, and GIS and the data quality needs for each system

Requirements

Bachelor’s degree in data Analytics, Information Systems, Computer Science, Mathematics, or related field (preferred); equivalent education and relevant experience considered
3–6 years of experience in analytics engineering, data engineering, data analysis, or BI development
Hands-on experience building and maintaining dbt models in a production or near-production environment
Strong relational database experience: query writing, optimization, and understanding of stored procedures
Demonstrated experience with cloud-based data environments: Microsoft Fabric, Azure SQL, AWS, or similar
Familiarity with source control practices and CI/CD workflows for analytics or data projects
Master’s degree in a quantitative field (preferred)

Tools & Technologies

dbt
Microsoft Fabric, Azure SQL
SQL
dbt_utils, dbt_expectations
Git
Azure DevOps, GitHub
API integrations
CSV, JSON, XML
SAP
GitHub Actions

Benefits

Competitive pay
Medical/dental/vision and other benefits offering flexibility, choice, and support

Position Summary

Design, develop, test, and maintain enterprise-grade analytics data products that support reporting, regulatory submissions, and operational decision-making
Work independently on dbt model development within Microsoft Fabric and Azure SQL, owning specific subject areas end-to-end from source profiling through deployment and monitoring
Deliver trustworthy, well-modeled, well-tested datasets bridging raw source data and business analytics
Ideal background includes 3–6 years experience, SQL and dbt proficiency, familiarity with data governance and metadata management, and ability to translate analytical requirements into durable, well-documented data products

Location: Fort Smith, AR (hybrid)

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