Data Operations Engineer Lll

JOB OVERVIEW

We are seeking a highly skilled and proactive Data Operations Engineer III to join our data-driven healthcare organization. This role is pivotal in ensuring the availability, integrity, and accessibility of enterprise data across the organization. You will work at the intersection of data engineering, operations, and governance to enhance the observability of critical data pipelines and assets, automate recurring workflows, and support data quality initiatives.

Location:

Dallas, TX

Responsibilities:

As a senior member of the DataOps team, you will be responsible for:

• Improving data observability by developing monitoring tools and alerts for key data pipelines and assets.
• Automating recurring data tasks to increase efficiency and reduce manual intervention.
• Responding to ad hoc data requests from cross-functional teams with speed and accuracy.
• Enhancing data quality and curation by identifying issues, implementing solutions, and collaborating with data stewards.
• Maintaining and improving runbooks to ensure operational continuity and knowledge sharing.
• Leading the onboarding and acquisition of new data assets, ensuring seamless integration into the enterprise data ecosystem.

Requirements:

Education & Experience

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in SQL with the ability to write complex queries.
• 3+ years of experience performing ETL and data engineering tasks.
• 3+ years of experience with Big Data technologies such as Databricks, Python, and Data Lakes.

Technical Skills

• Proficiency in:
• SQL
• Azure Data Services (including Azure Data Factory)
• Databricks
• Python
• Strong understanding of DevOps/Data DevOps concepts.
• Experience with data observability tools and practices.
• Familiarity with data quality frameworks and automation tools.

Core Competencies

• Demonstrated ability to:
• Improve data observability and integrity.
• Automate recurring data tasks and workflows.
• Address ad hoc data requests efficiently.
• Audit and enhance data quality across enterprise systems.
• Create and maintain detailed runbooks and documentation.
• Onboard and manage the acquisition of new data assets.

Soft Skills & Intrinsics

• Strong problem-solving and analytical skills.
• Excellent communication and documentation abilities.
• Ability to quickly understand and adapt to the business model.
• Business acumen, especially in the healthcare industry.
• Collaborative mindset with cross-functional teams including Product, Analytics, Data Governance, and Cloud Infrastructure.

Strong Candidates Will:

• Have experience with SQL and Python within the healthcare industry, and demonstrate the ability to learn new business models and technologies
• Exposure to enterprise data governance & management practices.
• Experience working in a diverse and inclusive team environment.

Benefits:

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave