Director, Data Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Revamp the existing data infrastructure.

• Create, develop, and oversee the presentation layer for analytics, reporting, data science, and other applications.

• Work in collaboration with IT personnel and business stakeholders to determine data sourcing needs.

• Equip business users with a contemporary platform to swiftly derive insights from data.

• Mentor and nurture a team of data engineers, fostering their growth and development.

• Build and empower a team focused on constructing high-quality data pipelines.

• Design technical data solutions that support long-term organizational growth.

• Plan, develop, execute, test, deploy, monitor, and sustain systematic data delivery processes.

• Ensure successful delivery of data and information for organizational reporting and analytics.

• Create processes, designs, and migrations that facilitate data analysis and reporting.

• Conduct data analysis and profiling on raw data sources.

• Lead and coordinate support and development resources.

• Collaborate with BI and IT team members on various activities.

• Assist in identifying projects and estimating efforts related to ETL development for new data sources.

• Provide requirements and direction for a platform blueprint, templates, and engineering guidelines.

• Design automation for pipelines to proactively detect and mitigate faults.

• Assess new tools, techniques, and strategies to ensure high-quality data delivery.

• Initiate the creation of documentation, knowledge-sharing initiatives, and operational procedures.

• Support training for end users to help them acquire necessary data.

• Report directly to the VP of Data Strategy and Governance.

⛳️ Requirements

• Over 10 years of experience with data ingestion and transformation tools such as SSIS, SSMS, Azure Data Factory, Azure Synapse, DBT, DataBricks, and Snowflake.

• More than 10 years of proficiency in advanced coding languages including SQL, Python, and PySpark.

• At least 7 years of experience managing teams and leading projects.

• Familiarity with CI/CD practices and tools for source control like Azure DevOps and Git.

• Extensive knowledge and experience with data management and BI strategies, principles, and practices.

• Experience with data quality, governance, stewardship, and metadata management frameworks.

• Understanding of data analysis, modeling, relational databases, and reporting tools.

• Knowledge of real-time and historical reporting, along with advanced analysis techniques.

• A Bachelor's or Master's Degree in Management Information Systems, Data & Analytics, Statistics, Computer Science, or a related field.

• Experience in the healthcare sector, particularly with Medicare/Medicaid, is advantageous.

• The company is unable to offer visa sponsorship (H1B or otherwise).

🏝️ Benefits

• Commitment to Equal Employment Opportunity and a non-discrimination policy.

• No visa sponsorship is available.