Senior Data Engineer

Join to apply for the Senior Data Engineer role at American Nurses Association

Join to apply for the Senior Data Engineer role at American Nurses Association

American Nurses Association provided pay range

This range is provided by American Nurses Association. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

Career Title: Senior Data Engineer

Department: Data Governance

Note: Competitive salary commensurate with data engineer experience

FLSA: Exempt (salaried)

Note: Union Dues are 1.44% of Bi-Weekly Pay

Career Summary

The Data Governance team is seeking a highly skilled and experienced Senior Data Engineer to join our data and analytics team to build and maintain data infrastructure and data pipelines to enable analytics to include more advanced analytics and machine learning models. Manages and coordinates with internal or external parties the collection, compilation, normalization, and standard analysis of data assets across diverse projects and data platforms.

Serves as a data subject matter expert, collaborates with business owners or external clients to establish an analysis plan to answer key business questions, and delivers both reporting results and insights. Generates specific and operational reports in support of objectives and initiatives and presents and communicates complex analytical data and results to appropriate audiences.

The ideal candidate will have 7 or more years of hands-on experience in designing and building scalable data pipelines, with deep expertise in Databricks, Apache Spark, and cloud-based data platforms (Azure, AWS, or GCP). The role requires strong proficiency in Dev Ops practices, including CI/CD automation, infrastructure as code, and monitoring of data workflows. This position will play a key role in optimizing our data architecture, enabling advanced analytics, and supporting data governance and security standards across the enterprise.

Join the American Nurses Enterprise (ANE) and be part of the team building a healthy world through the power of nurses. Our goals are to (1) Elevate the Profession of Nursing Globally

• Evolve the Practice of Nursing to Improve Health, Health Care, and Health Equity and (3) Ensure the Professional Success of Nurses. Our core values:
  Trusted, Inclusive, Innovative and Empowered guide everything we do. We are committed to creating a supportive and dynamic workplace where employees can thrive.

We understand the importance of work-life balance and offer flexible work arrangements and generous paid time off. Our modern office spaces are designed to foster collaboration and creativity. The collaborative culture and supportive team environment make ANE a great place to grow your career.

What You Will Do

• Design, build, and optimize scalable, high-performance data pipelines to support analytics, AI/ML, and business intelligence workloads.
• Troubleshoot data pipeline failures, latency issues, and infrastructure bottlenecks, implementing proactive monitoring and alerting.
• Lead the adoption of Dev Ops and automation practices, including CI/CD pipelines, Infrastructure as Code (IaC), and workflow orchestration.
• Implement ETL/ELT solutions for efficient data ingestion, transformation, and integration from multiple sources.
• Build and manage RESTful APIs to integrate data from various data sources with strong proficiency in handling OAuth authentication, JSON data parsing, and building scalable data pipelines.
• Translate complex business requirements into technical solutions, ensuring alignment with enterprise data strategies.
• Manage and optimize Azure cloud data storage solutions for cost and performance efficiency.
• Ensure data quality, integrity, and consistency by implementing validation, monitoring and error-handling frameworks.
• Evaluate and recommend emerging data technologies and architectures to enhance scalability, efficiency, and innovation.
• Define and enforce data governance, security, and compliance policies, ensuring alignment with industry standards.
• Optimize query performance, indexing, and partitioning strategies to enhance data accessibility and speed.
• Collaborate with data architects, data analysts and business stakeholders to deliver data-driven solutions that support decision-making.
• Mentor and provide technical guidance to junior data engineers, fostering a culture of best practices and continuous improvement.
• Takes authority, responsibility, and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making automated decisions and augmentation of human performance.

What You Bring To The American Nurses Enterprise

Education

• Bachelor’s degree in computer science, engineering, or related field.

Related Work Experience

• Seven (7+) plus years building enterprise-level data solutions on cloud platforms.

Skills

• Primary expertise in Databricks, including Databricks Workflows for orchestrating scalable, production-grade data…