Associate Director, Data Engineering

This is a fully remote position, open to applicants in New York.

📋 Description

• Create, develop, and sustain scalable, dependable, and automated data pipelines utilizing SQL, Python, and Databricks to facilitate enterprise analytics.

• Design and enhance robust data models and infrastructure to guarantee high data quality, integrity, and accessibility throughout the client's ecosystem.

• Collaborate closely with the Data Science team to operationalize their initiatives, deploying statistical and machine learning models into production environments while adhering to DataOps best practices.

• Recognize, design, and execute internal process enhancements, including automating manual data workflows and optimizing data delivery for scalability.

• Work alongside cross-functional teams to pinpoint business challenges, collect requirements, identify data sources, and deliver data-driven solutions.

⛳️ Requirements

• A Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field (or equivalent practical experience).

• Over 5 years of experience in data engineering, data warehousing, or constructing data infrastructure for marketing and business applications.

• Extensive experience in designing and building scalable data pipelines using modern cloud data platforms.

• Strong understanding of contemporary data architecture, which includes ELT, data lakes/lakehouses, data warehouses, and metadata-driven frameworks.

• Experience in applying software engineering best practices to data development, including:

• Version control (Git)

• Code reviews and pull request workflows

• Modular, reusable, and testable code

• CI/CD pipelines

• Automated testing (unit, integration, and data quality tests)

• Infrastructure as Code

• Proficiency in Python and SQL, emphasizing clean, maintainable, and well-tested code.

• Familiarity with orchestration frameworks and workflow automation.

• Understanding of data modeling, data governance, lineage, observability, and monitoring.

• Proven experience working in Agile teams, collaborating with engineering, analytics, and business stakeholders.

• Capability to design metadata-driven and configuration-driven solutions instead of hard-coded implementations.

🏝️ Benefits

• Comprehensive medical, dental, and vision insurance coverage - find out more about our offerings here!

• Generous paid time off and 15 company-wide holidays.

• 401k plan with company contributions.

• Paid parental leave.

• Focus on work-life balance with an emphasis on personal well-being.

• Opportunities for career growth in an innovative space and entrepreneurial prospects within the Monks network.

• A globally diverse and inclusive culture with employee resource groups like S4 Melanin, Pride.Monks, Cultura.Monks, and more!

• A genuine commitment to DEI initiatives and sustainable growth.