Associate Director, Data Engineering

S4 Capital Group

Data Engineer building and maintaining scalable data pipelines at Monks. Collaborating with Data Science to leverage machine learning for actionable insights.

Posted 7/8/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $130,000 - $140,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable, reliable, and automated data pipelines using SQL, Python, and Databricks to support enterprise analytics.
Architect and optimize robust data models and infrastructure to ensure high data quality, integrity, and accessibility across the client's ecosystem.
Partner closely with the Data Science team to operationalize their work, deploying statistical and machine learning models into production environments using DataOps best practices.
Identify, design, and implement internal process improvements, including automating manual data processes and optimizing data delivery for scalability.
Collaborate with cross-functional teams to identify business problems, gather requirements, identify data sources, and provide data-driven solutions.

Requirements

What you’ll need

A Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field (or equivalent practical experience)
5+ years of experience in data engineering, data warehousing, or building data infrastructure for marketing and business applications
Strong experience designing and building scalable data pipelines using modern cloud data platforms.
Solid understanding of modern data architecture, including ELT, data lakes/lakehouses, data warehouses, and metadata-driven frameworks.
Experience 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, with a focus on clean, maintainable, and well-tested code.
Experience with orchestration frameworks and workflow automation.
Familiarity with data modeling, data governance, lineage, observability, and monitoring.
Experience working in Agile teams and collaborating across engineering, analytics, and business stakeholders.
Ability to design metadata-driven and configuration-driven solutions instead of hard-coded implementations.

Benefits

Comp & perks

Excellent, full coverage medical, dental, and vision insurance - more about our coverage here!
Generous PTO and 15 company-wide holidays
401k with company contribution
Paid parental leave
Work-life balance with an emphasis on personal well-being
Career growth in a disruptor space & entrepreneurial opportunities within the Monks network
A globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more!
Authentic commitment to DEI efforts and sustainable growth.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data Pipeline DesignData ModelingData WarehousingAutomated TestingInfrastructure as CodeVersion ControlCI/CD PipelinesData GovernanceWorkflow AutomationMetadata-Driven Solutions

Soft Skills

CollaborationProblem SolvingCommunicationAgile Methodologies