HHAeXchange

HHAeXchange

Principal Data Engineer

United States · Principal · Full-time

Sponsorship not specified$155k-$184kDetected 180 days ago
PythonSQLBigQuerySnowflakeRedshiftAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDMachine LearningAirflowdbtData EngineeringData ScienceData VisualizationLLMsCybersecurityCustomer SuccessTest AutomationHL7/FHIREHR/EMR

About the role

  • This is a fully remote opportunity for candidates located in the EST or CST time zones within the US only.
  • An employee's exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.
  • HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.

Responsibilities

  • Demonstrated ability to lead large-scale data initiatives and influence architectural decisions across teams.
  • Design end-to-end data architectures, frameworks, and pipelines that support large-scale and complex data ingestion, processing, transformations, reporting, and analytics.
  • Collaborate with stakeholders to ensure alignment with business and product strategies.
  • Build and optimize robust ETL/ELT workflows, data models, and distributed data processing jobs.
  • Implement best-in-class solutions using technologies such as Python, SQL, dbt, DMS, AWS Glue, Airflow, Docker/Kubernetes, Snowflake, and other cloud-native services.
  • Develop best practices to ensure data quality, integrity, lineage, governance, performance, and reliability across all pipelines, data platforms, and analytics applications.
  • Establish and maintain SLAs, monitoring, and alerting for mission-critical data services with observability design and implementation.
  • Lead complex problem-solving initiatives and guide decisions on tools, technologies, and design patterns.
  • Partner with data engineers, software engineers, QA, product managers, customer success, and business leaders to define data requirements and deliver high-impact solutions.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field highly desirable.
  • 8+ years of combined software and data engineering experience with a strong focus on distributed data processing and data-intensive applications.
  • 5+ years of experience architecting, implementing, and maintaining reporting and analytics tools (e.g., Looker, Power BI, Tableau), with knowledge of data visualization best practices.
  • Deep experience with cloud platforms (AWS, Azure, or GCP) and modern data warehousing technologies (Snowflake, BigQuery, Redshift, etc.).
  • Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse stakeholders.

Nice to have

  • Hands-on experience in AI/ML, LLMs, agentic development, and AI assistant tools preferred.

Skills

  • Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role

Compensation

  • The base salary range for this US-based, full-time, and exempt position is $155,000-184,000/yr, not including variable compensation.

Visa & Work Authorization

  • sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law
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This listing is sourced directly from HHAeXchange's careers page and normalized into a canonical job model.