[Hiring] Director of Data Engineering @Curana Health, Inc.

Role Description

Curana Health is looking for a highly motivated and dynamic leader to transform our current data infrastructure. The Director of Data Engineering will be responsible for the design, build, and management of the presentation layer that will be utilized in reporting & analytics, data science, and other consuming applications. This position will collaborate with IT team members and business stakeholders to identify required data sourcing to serve the business needs. This role is customer-focused and fast-paced, with a goal to empower the business users with a state-of-the-art platform to rapidly gain insights through data. You will mentor, support, evolve and grow a group of highly skilled data engineers. This role will directly report to our VP of Data Strategy and Governance.

About the team:

• The department is comprised of business intelligence analysts and data engineers focused on modernizing our data platform and empowering our business stakeholders to make strategic decisions.
• Teaching, mentoring, and developing are part of our culture.
• The goal is to develop a balanced team with expertise in modern data solutions.

Essential Duties & Responsibilities

• Develop and empower a team of data professionals who build best in class data pipelines.
• Develop technical data solutions for long-term growth.
• Design, develop, implement, test, deploy, monitor, and maintain the delivery of data in a systematic method.
• Ensure successful delivery of data and information in support of the organization’s reporting & analytics.
• Create data migrations, processes, and designs that support data analysis and reporting.
• Perform data analysis and profiling of raw data sources.
• Provide guidance and direction to support/development resources.
• Communicate with other BI and IT team members to support and coordinate activities.
• Assist with project identification and effort estimates for ETL development of new data sources.
• Provide guidance, direction, and requirements to develop a platform that will render a blueprint, template, and guardrails to engineers and data analytics teams to get started quickly.
• Design automation of pipelines and other data projects to establish a mechanism for proactive fault detection and mitigation.
• Evaluate new tools, new techniques, and strategies for delivering high quality data to users.
• Initiate documentation, knowledge-sharing, and creating of operating procedures.
• Assist with training end users on acquiring necessary data.

Qualifications

• 10+ years of experience, with various tools used for data ingestion and transformation including SSIS, SSMS, Azure Data Factory, Azure, Synapse, DBT, DataBricks and Snowflake.
• 10+ years in advanced coding languages including SQL, Python and PySpark.
• 7+ years of experience managing a team and leading projects.
• Familiarity with CI/CD/source control processes and tools such as Azure DevOps and Git.
• In depth knowledge and experience working with Data management and BI strategies, principles and practices including experience with framework for data quality, data governance, stewardship, and metadata management.
• Knowledge of technology and information systems, with focus on data analysis, data modeling, relational database, and reporting tools including real-time reporting, historical reporting, and advanced analysis.
• Healthcare experience in Medicare/Medicaid is a plus.
• Bachelor’s or Master’s Degree in Management Information Systems, Data & Analytics, Statistics, Computer Science, or other related field.