[Remote] Senior Data Engineer
Note: The job is a remote job and is open to candidates in USA. AHTG American Health Technology Group, LLC is seeking a Senior Data Engineer to join a focused Data Engineering team. The role designs, develops, optimizes, and maintains scalable data pipelines, transformation workflows, and data models supporting enterprise reporting, analytics, operational intelligence, and AI-enabled initiatives. It also contributes to data platform architecture, reliability, governance, stakeholder collaboration, and mentorship of junior engineers.
Responsibilities
- 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
- 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
- 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
- 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
- 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
Skills
- Required: Bachelor's degree in Computer Science, Data Science, Information Systems, or related field
- 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
- 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
- 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
- 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
Benefits
- Hybrid work arrangement for candidates located within a reasonable commuting distance to the Edmond, OK or Frisco, TX offices.
- Fully remote arrangement for candidates outside a reasonable commuting distance from either office.
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