*Must pass a drug test and background check once offered position* Role Summary We are seeking a Senior Data Engineer to design, build, and operate production-grade ETL/ELT pipelines across enterprise cloud platforms, primarily Google Cloud Platform (Google Cloud Platform) and Microsoft Azure. This role is responsible for end-to-end ownership of data pipelines-from requirements gathering and solution design through deployment, monitoring, and ongoing production support.
The ideal candidate is a hands-on technical leader who thrives in ambiguous environments, proactively drives solutions, and delivers scalable, secure, and reliable data systems within a healthcare ecosystem. This individual will partner closely with business stakeholders, architects, analysts, and engineering teams to transform complex requirements into production-ready data solutions.
Key Responsibilities - Design, develop, deploy, and support scalable ETL/ELT pipelines across Google Cloud Platform, Azure, BigQuery, and SQL Server environments.
- Build and optimize analytical data models, including dimensional models, schema design, normalization strategies, and Slowly Changing Dimensions (SCDs).
- Develop and manage workflow orchestration solutions using Airflow, Cloud Composer, Azure Data Factory (ADF), Dagster, Prefect, or similar technologies.
- Ensure secure handling of Protected Health Information (PHI), including data movement, de-identification, access controls, auditing, and HIPAA compliance.
- Implement CI/CD deployment processes using Git and modern DevOps practices.
- Monitor, troubleshoot, optimize, and support production data pipelines to ensure reliability, performance, and scalability.
- Collaborate with business stakeholders to translate requirements into technical solutions and communicate tradeoffs, feasibility, risks, and recommendations.
- Drive technical decisions and establish direction when requirements are incomplete or evolving.
- Evaluate emerging technologies and modern data engineering approaches through proof-of-concepts and technical experimentation.
- Contribute to data engineering best practices, architecture standards, operational excellence, and continuous improvement initiatives.
Required Qualifications - 7+ years of experience in Data Engineering, including significant experience delivering and supporting enterprise production systems.
- Strong SQL development skills combined with hands-on experience in Python or Java.
- Experience designing, building, and operating large-scale ETL/ELT pipelines in cloud environments.
- Hands-on expertise with Google Cloud Platform, Azure, BigQuery, SQL Server, or comparable enterprise data platforms.
- Experience with workflow orchestration tools such as Airflow, Cloud Composer, Azure Data Factory, Dagster, or Prefect.
- Strong data modeling experience, including dimensional modeling, normalization, star schemas, and Slowly Changing Dimensions (SCDs).
- Knowledge of healthcare data security practices, HIPAA regulations, PHI handling, access controls, auditing, and data governance.
- Experience implementing source control, Git workflows, and CI/CD deployment processes.
- Proven ability to deliver solutions within enterprise governance, compliance, and operational standards.
Preferred Qualifications - Experience supporting healthcare, life sciences, or other highly regulated industries.
- Exposure to modern ELT frameworks and cloud-native data architectures.
- Familiarity with semantic layers, modern analytics platforms, and enterprise reporting ecosystems.
- Understanding of LLM-assisted development tools and emerging AI-enabled data engineering practices.
- Experience evaluating and implementing new technologies through proof-of-concepts and technical pilots.
Please apply through this online posting or by visiting our Job Board at Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $40 - $77 per hour based on qualifications and experience.
