Senior Data Engineer

Were committed to bringing passion and customer focus to the business.

Tech Stack: SQL dbt Snowflake Fivetran Python Power BI and cloud-native/DevOps tooling with growing use of AI-assisted development tools.

Principal Responsibilities:

Data Pipeline Development & Platform Engineering

• Design build and optimize scalable data pipelines and ETL/ELT processes using dbt Snowflake Fivetran and other modern data stack tooling

• Improve reliability observability and performance across the data engineering environment

• Troubleshoot and resolve pipeline failures transformation issues and performance across the data engineering environment

Data Modeling & Analytics Engineering

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

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

• Ensure data structures are consistent usable and maintainable for downstream business intelligence needs

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

Data Quality Governance & Reliability

• Implement data quality validation testing standards and monitoring workflows

• Investigate and resolve data discrepancies and reporting reliability concerns

• Support enterprise data governance standards and documentation practices

Reporting Business Partnership & Collaboration

• Partner with stakeholders to translate business needs into scalable data solutions

• Prepare and optimize datasets supporting dashboards KPIs and operational reporting

• Participate in architecture discussions data design reviews and technical planning

• Serve as a technical resource for enterprise reporting and analytics needs

AI-Enabled Data Workflows & Team Growth

• Leverage AI-assisted tools to improve SQL development transformation efficiency and engineering productivity

• Support preparation and validation of datasets used in AI/ML initiatives

• Provide guidance and technical mentorship to junior data engineers promoting knowledge sharing and operational ownership

Education and Certifications:

• Required: Bachelors degree in Computer Science Data Science Information Systems or related field

Required Experience:

• 57 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 $140000 to $155000 annually. The final compensation offered will be determined based on a number of factors including but not limited to skills qualifications experience and location.