Associate Director, Data Engineering (Remote)

About the Role Monks is a digital‑first marketing and advertising services company connecting content, data, digital media and technology services with a single‑P&L model that offers brands seamless access to a globally distributed team of digital talent. Media Analytics In a growth‑stage Global Enterprise Analytics team, this forward‑deployed data engineer role is a high‑exposure individual contributor embedded directly into our client’s business. You will develop production‑level data pipelines and infrastructure, architect robust data engineering solutions, and collaborate with Data Science to operationalize statistical models into production. Responsibilities 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. 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, and deliver data‑driven solutions. Ideal Candidate You approach data engineering as a software engineering discipline, have experience building reliable, scalable, and maintainable data platforms using modern cloud‑native technologies, and thrive in ambiguity. You own the full development lifecycle, proactively identify and solve technical challenges, and communicate effectively to drive projects forward. Requirements 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, including Git, code reviews, modular reusable code, CI/CD, automated testing, 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, 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. The Essentials 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. Hands‑on experience with common ETL tools. Expertise across programmatic display, video, native, and ad serving technology, as well as digital advertising reporting, measurement, and attribution tools. Adept at agile methodologies and well‑versed in applying DataOps methods to pipeline construction and delivery. Demonstrated ability to operate both independently and in a team environment. Experience in a client/consulting workplace with the ability to reprioritize based on evolving client needs. Optional: expertise in designing and deploying AI workflows directly into a client’s business environment. Benefits Excellent, full‑coverage medical, dental, and vision insurance. Generous PTO and 15 company‑wide holidays. 401(k) with company contribution. Paid parental leave. Work‑life balance with an emphasis on personal well‑being. Career growth in a disruptor space and entrepreneurial opportunities within the Monks network. Globally diverse and inclusive culture with employee resource groups. Authentic commitment to DEI efforts and sustainable growth. Equity & Inclusion We are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants from all backgrounds to contribute to our mission. Return to Office Policy Work‑from‑office days are required for those living within commuting distance of an office location, as outlined in our current RTO policy. Compensation Monks offers a competitive salary range for this role: $130,000—$140,000 USD. Compensation is determined based on job‑related factors and is not influenced by protected status. #J-18808-Ljbffr Monks