Senior Data Engineer

It's fun to work in a company where people truly believe in what they're doing!

We're committed to bringing passion and customer focus to the business.

Principal Responsibilities:

Data Pipeline Development & Optimization

• Design, build, maintain, and optimize scalable data pipelines supporting enterprise analytics, reporting, and operational workflows

• Develop and enhance ETL/ELT processes using modern data stack technologies such as dbt, Snowflake, Fivetran, and cloud-native tooling

• Improve reliability, scalability, observability, and operational performance of enterprise data workflows

• Troubleshoot and resolve complex pipeline failures, transformation issues, and data delivery bottlenecks

Data Modeling & Analytics Engineering

• Develop and maintain scalable data models supporting operational reporting, executive analytics, financial analysis, and AI-driven initiatives

• Design curated datasets and transformation layers aligned with modern analytics engineering best practices

• Ensure data structures support consistency, usability, maintainability, and downstream business intelligence requirements

• Contribute to semantic-layer-aligned reporting structures and reusable enterprise datasets

Data Quality, Governance & Reliability

• Implement and improve data quality validation processes, testing standards, and operational monitoring workflows

• Investigate and resolve data discrepancies, transformation inconsistencies, and reporting reliability concerns

• Support enterprise data governance standards, documentation practices, and operational data integrity initiatives

• Promote operational consistency and scalable data engineering standards across the organization

Reporting, Analytics & Business Enablement

• Partner with stakeholders to support SaaS product reporting, analytics, and operational intelligence initiatives

• Prepare and optimize datasets supporting dashboards, KPIs, operational reporting, and business intelligence workflows

• Collaborate with Product managers, Finance, Operations, and Technology teams to translate business requirements into scalable data solutions

• Improve accessibility and usability of enterprise data assets across reporting and analytics environments

AI-Enabled Data Workflows & Automation

• Leverage AI-assisted tools and automation capabilities to improve SQL development, data transformation efficiency, and engineering productivity

• Support preparation and optimization of datasets used in AI and machine learning initiatives

• Validate AI-assisted outputs related to data engineering workflows, reporting logic, and transformation processes

• Identify opportunities to improve scalability and operational efficiency through automation and reusable engineering practices

Platform Optimization & Engineering Best Practices

• Contribute to optimization of Snowflake, dbt, reporting pipelines, and enterprise data platform workflows

• Improve engineering standards related to testing, deployment, monitoring, observability, and documentation

• Support modernization initiatives focused on scalability, reliability, and operational efficiency improvements

• Promote consistent engineering workflows and modern data engineering practices across the organization

Cross-Functional Collaboration & Technical Partnership

• Participate in architecture discussions, data design reviews, and technical planning efforts

• Support integration of enterprise operational systems and downstream reporting environments

• Serve as a technical resource supporting SaaS product reporting and analytics needs

Mentorship & Technical Development

• Provide guidance and technical support to junior Data Engineers and analytics resources

• Promote knowledge sharing, operational ownership, and continuous technical improvement across the team

• Contribute to the organization’s long-term data engineering maturity and operational scalability

Education and Certifications:

• Required: Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field

Required Experience:

• 5–7 years of experience in data engineering, analytics engineering, business intelligence, or related technical roles

• Strong hands-on experience building and maintaining ETL/ELT pipelines and modern data workflows

• Advanced SQL proficiency and experience with dbt or similar transformation frameworks

• Experience working with Snowflake or similar cloud-native data platforms

• Strong understanding of data modeling, analytics engineering, and enterprise reporting concepts

• Experience troubleshooting data quality, transformation, and operational reliability issues

• Experience working with cross-functional business and technical stakeholders

• Strong analytical, technical problem-solving, and organizational skills

Preferred Experience:

• Experience with Power BI, semantic layer tooling, or enterprise reporting platforms

• Familiarity with Python or scripting languages supporting automation and data workflows

• Exposure to AI-assisted engineering workflows and intelligent automation tooling

• Experience supporting AI use cases or operational analytics environments

• Experience with cloud-native tooling, observability practices, or DevOps workflows

• Experience in healthcare staffing, workforce solutions, or service-based organizations preferred

Location:

• This role is hybrid for candidates located within a reasonable commuting distance to our Edmond, OK or Frisco, TX offices. Candidates outside a reasonable distance from either office are eligible for a fully remote arrangement.

Compensation:

• The expected base salary range for this position is $140,000 to $155,000 annually. The final compensation offered will be determined based on a number of factors, including but not limited to skills, qualifications, experience, and location.

Qualified candidates must possess the physical and mental abilities necessary to perform the job's essential functions, with or without reasonable accommodation. Specific requirements may vary depending on the nature of the position. Applicants should be prepared to discuss their ability to meet these requirements during the interview process. A detailed job description outlining the physical and mental demands of the role will be provided upon request.

All AHSG companies, AHS Staffing, AHSA, and Trio Workforce Solutions are equal employment opportunity employers.