Automation Engineer, Data

About Sound:

Headquartered in Tacoma, WA, Sound Physicians is a physician-founded and led, national, multi-specialty medical group made up of more than 1,000 business colleagues and 4,000 physicians, APPs, CRNAs, and nurses practicing in 400-plus hospitals across 45 states. Founded in 2001, and with specialties in emergency and hospital medicine, critical care, anesthesia, and telemedicine, Sound has a reputation for innovating and leading through an ever-changing healthcare landscape — with patients at the center of the universe.

Sound Physicians offers a competitive benefits package inclusive of the items below, and more:

• Medical insurance, Dental insurance, and Vision insurance
• Health care and dependent care flexible spending account
• 401(k) retirement savings plan with a company match
• Paid time off (PTO) begins accruing immediately upon start date at a rate of 15 days per year, in accordance with Sound's PTO policy
• Ten company-paid holidays per year

POSITION SUMMARY

The Automation Engineer, Data Quality will focus on creating and maintaining tools for monitoring and responding to data quality issues across the data landscape, with a strong emphasis on automation. This role is critical for enhancing the maturity of our data quality domain and ensuring the accuracy and reliability of our data.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Develop and implement automated tools and frameworks for monitoring data quality across various data sources and systems.

• Create processes for detecting, diagnosing, and resolving data quality issues in a timely manner.

• Collaborate with ETL developers, data analysts, and other team members to ensure data quality standards are met throughout the data pipeline.

• Define and enforce data quality rules, standards, and best practices.

• Conduct root cause analysis of data quality issues and implement corrective actions to prevent recurrence.

• Develop and maintain documentation for data quality processes, tools, and standards.

• Monitor and report on data quality metrics and KPIs to stakeholders.

• Participate in agile ceremonies such as sprint planning, daily stand-ups, and backlog grooming.

• Continuously evaluate and improve data quality tools and methodologies to enhance efficiency and effectiveness.

VALUES

• Self-motivated: Proactively jumps in to start a task or project with limited direction; asks to take on more responsibility and what’s next.

• Committed: Demonstrates a dedication to the job, project, organization, customer/clients and co-workers.

• Intellectually curious: Demonstrates a genuine interest in learning new things and wants to know the reason “why” behind the way things are done.

• Team Player: Proactively seek to work with others to accomplish a common goal. Willingness to share challenges and successes with others.

• Resourceful: Proactive willingness to utilize available information and tools to figure things out.

KNOWLEDGE, SKILLS AND ABILITIES

• Proficiency in SQL and experience with data quality tools and frameworks.

• Strong understanding of data warehousing concepts and ETL processes.

• Experience with scripting and programming languages (e.g., Python, R) for automation purposes.

• Familiarity with data visualization tools, particularly Power BI.

• Excellent analytical and problem-solving skills.

• Strong communication and collaboration skills with the ability to effectively interact with technical and non-technical stakeholders.

• Self-motivated work style with the ability to prioritize and execute tasks independently.

EDUCATION AND EXPERIENCE

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a related field.

• Minimum of 3 years of experience in a data quality or data engineering role, with a focus on automation.

EXPERIENCE PREFERRED

• Experience with data warehousing concepts such as data modeling, ETL development, data integration, and data analysis.

• Development experience in Power BI, and knowledge of advanced Power BI features such as data modeling, performance optimization, and advanced visualization techniques.

• Expertise in clinical metrics and KPIs for specialties such as hospital medicine, emergency medicine, anesthesia, telemedicine, critical care, revenue cycle, business operations, finance, and accountable care.

• Expertise in technologies that can promote automation in a data warehousing and analytics team, particularly those in machine learning or AI.

Pay Range: This position offers an annual salary range of $115,000 - $125,000 plus incentive program. Starting salary will be based on candidate experience and geographical location.