---
title: 'Data Engineer - DataOps at Monks'
canonical: 'https://feeny.ai/job/data-engineer-dataops-monks-cupertino-m4b8ck15kmra'
type: 'job'
last_seen: '2026-10-17'
---

# Data Engineer - DataOps at Monks

- **Company:** Monks
- **Location:** Cupertino, CA
- **Compensation:** $130k–$150k
- **Posted:** 2026-08-12
- **Last confirmed live:** 2026-10-17
- **Apply:** https://www.monks.com/careers/6129817004/job?gh_jid=6129817004

## Job description

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website ([monks.com/careers](http://monks.com/careers)).

Data Engineer

## About the Role

We are seeking a capable, detail-minded Data Engineer with a strong DataOps focus to join our team. In this role, you will be embedded at Monks, serving as a critical delivery partner dedicated to supporting one of our most prestigious, high-profile global client accounts in Cupertino, CA.

You will build, scale, and maintain the core data pipelines that deliver trusted sell-through, actuals, and strategic business data to global Sales & Finance leadership. Beyond building your own pipelines, you will play a crucial role in hardening, monitoring, and troubleshooting the team's shared pipeline estate—ensuring high reliability, data quality, and platform performance across production.

Note on Location & Structure: This is a contract role based out of Cupertino, CA, with a hybrid schedule requiring you to be on-site 3 days per week (Tuesday – Thursday).

## About You

The Skills & Toolkit You’ll Bring:

- 5+ years of Data Engineering experience (or Software Engineering with a strong data focus) accompanied by expert-level SQL.

- Core Tech Stack: Advanced proficiency in Python (Java or Scala is a plus), paired with hands-on experience using Airflow, Spark, Trino/Dremio, Apache Iceberg, Kafka, and Docker.

- DataOps & Lakehouse Expertise: Experience with lakehouse architectures, query engines, Apache Iceberg maintenance (compaction, snapshot management), and platform upgrade/migration workflows.

- Production Pipeline Management: Proven track record designing, deploying, and maintaining custom ETL/ELT pipelines and enterprise data warehouse solutions using version control (Git) and CI/CD pipelines.

- Data Domain Context: Prior experience working with Sales, Finance, or supply chain data domains (e.g., actuals, sell-through, forecasting) is highly preferred.

The Mindset We’re Looking For:

- Root-Cause Investigator: You don't just apply quick patches—you independently troubleshoot shared production issues, trace anomalies back to their upstream source, and implement durable, long-term fixes.

- Operational Discipline: You hold high standards for software lifecycle best practices, rigorous separation of dev and prod environments, careful change management, and comprehensive documentation.

- Platform Ownership: You take pride in data quality and system reliability across the entire team's pipeline estate, not just the code you personally authored.

- Autonomous & Adaptable: Comfortable stepping into ambiguous technical challenges, navigating complex data environments, and driving solutions to completion with minimal oversight.

The Day-to-Day (Your Impact)

Hands-On Data Engineering

- Build & Enhance Pipelines: Develop and maintain efficient ingestion and transformation pipelines from diverse, variable-quality data sources into curated aggregation layers, virtual views, and incremental-refresh logic.

- Workflow Orchestration: Own the code, business logic, and operational health (SLIs/SLOs) of your data products using Apache Airflow to orchestrate, schedule, and monitor workflows.

- Reusable Architecture: Contribute to and leverage shared utility libraries, local validation practices, and scalable coding patterns across the data engineering team.

DataOps & Shared Platform Reliability

- DAG Hardening & Resilience: Drive platform-wide reliability by improving preflight cleanup, downstream-refresh stability, table/storage optimization, and failure-alerting flows across shared pipelines.

- Automated Data Quality & Observability: Design and deploy automated Data-Quality Checks (DQCs), custom monitoring pipelines, and troubleshooting tooling that the broader analytics team relies on.

- Platform Governance: Manage asset lifecycles (retiring unused objects), remediate poorly performing queries, optimize materialized reflections, and support engine/orchestrator version migrations.

- Incident Response & Change Management: Own production incident response for assigned domain areas, author clear structured change plans and Root Cause Analyses (RCAs), and maintain operational runbooks.

## #LI-MF1

#LI-Hybrid

## What We Offer

## Benefits

- Excellent, full coverage medical, dental, and vision insurance
- 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. (Why Sir Martin Sorrell signed The Climate Pledge[here](https://www.adweek.com/agencies/s4-capital-continues-its-ambitious-evolution-by-joining-the-climate-pledge/?utm_content=154645660&utm_medium=social&utm_source=linkedin&hss_channel=lcp-2717758)!)

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

Salary Range: $130,000—$150,000 USD

## About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect.

This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

## About Monks

## Company Overview
- **One-liner**: Monks is a global digital-first marketing, technology services, and consulting company that connects content, data, and digital media to help ambitious brands grow.
- **Entity Type**: Public (Wholly owned subsidiary of S4 Capital plc, LSE: SFOR)
- **Headquarters**: London, United Kingdom
- **Founded**: 2001
- **Founders**: Wesley ter Haar, Gin Roberscheuten, Terrence de Kat (formerly Terrence Koeman)

## Core Business
- **Primary industry/industries**: Advertising Services, Marketing & Technology Consulting, Digital Content Production
- **Target customers**: B2B, primarily large Enterprises and global brands (Partners with 24 of BCG's 50 most innovative companies, including Netflix, Meta, HP, Dove, and Mondelēz) [monks.com]
- **Mission or purpose statement**: To be a catalyst for change in the industry and communities through technological innovation, creativity, and impactful work, aiming to "win the decade" by making best-in-class work and being the best place to work. [monks.com/careers]

## Products & Services
- **Monks.Flow (AI Platform)**: An AI-powered operating system designed to orchestrate marketing and technology into unified, intelligent systems for real-time brand management. [linkedin.com]
- **Marketing Orchestration**: A service that boosts efficiency and creativity to accelerate marketing results at any scale.
- **Glass Box Media**: A service offering total visibility and control for smarter, more impactful media investments.
- **Technology Services**: Modernizing infrastructure, accelerating product and platform innovation, and delivering next-generation customer experiences.
- **Content Production**: A global studio model blending strategy, talent, and production for effective content with cost savings.
- **Data & AI Consulting**: Services focused on transforming data to fuel customer experience, including AI-powered tools for creative asset production.

## Market Standing
- **Valuation/Market Cap**: Not publicly available for the subsidiary. Parent company S4 Capital plc has a public market cap.
- **Key Metric**: Annual Revenue of **$1.5 Billion** (as per LinkedIn data) [linkedin.com]
- **Notable Investors/Partners**: Parent company S4 Capital plc (Founded by Sir Martin Sorrell). Key Technology Partners include Salesforce, Meta, NVIDIA, Amazon Web Services (AWS), Google Marketing Platform, and Google Cloud. [monks.com/what-we-do]
- **Growth Signals**: Despite a -6.4% YoY headcount decline (now 4,787 employees), the company maintains a massive global footprint across 62 countries. It is actively investing in its AI transformation, highlighted by the "Monks.Flow" platform. The company recently rebranded from MediaMonks to Monks in 2024, signaling a strategic shift. [linkedin.com]

## Competitive Advantages
- **Scale & Global Reach**: Operates in 62 countries, giving it a unique ability to execute complex, global campaigns from a single P&L. [linkedin.com]
- **AI-First Approach**: Has aggressively moved into AI-powered services, including training custom AI models for clients (e.g., Dove's Real Beauty campaign) and building its own AI operating system (Monks.Flow). [monks.com/what-we-do]
- **"One P&L" Model**: Unlike traditional holding companies, Monks offers a unified, non-siloed approach to content, data, and media, which it markets as "foundationally different." [monks.com/careers]
- **Premium Client Roster**: Partners with 24 of BCG's 50 most innovative companies, including tech giants like Meta, Netflix, and HP, creating a strong "halo effect" for talent and capabilities. [monks.com/what-we-do]

## Strategic Focus
- **AI Acceleration**: The company's clear priority is embedding AI across its entire workflow ("from strategy to supply") and scaling its "always-on agents" to change how work is done.
- **Winning the Decade**: Pushing to become the dominant digital partner for brands by unifying marketing and technology into one performance system.
- **Radical Transparency**: A focus on data-driven performance and clear measurement, moving away from traditional opaque agency models.

## Why Work Here
- **Culture of Innovation**: Describes itself as a "digital-first" powerhouse that is "disrupting the industry." The emphasis on AI and technology suggests a challenging, forward-looking environment for engineers and data scientists. [monks.com/careers]
- **Diversity, Equity & Inclusion**: The company explicitly states a commitment to being a "catalyst for change" with a purpose-driven culture focused on DEI. [monks.com/careers]
- **Global & Hybrid Work Environment**: With offices in over 30 cities globally (including London, New York, San Francisco, Amsterdam, Singapore, Buenos Aires, and Tokyo), the company offers significant opportunities for international exposure and likely supports a hybrid work model. [monks.com/careers, linkedin.com]
- **Focus on Engineering & Tech**: With job postings for roles like "Fullstack Engineer," "Implementation Engineer," "Battery Test Engineer," and "AI Craft Director," the company is actively building its technical practice, offering opportunities to work on complex systems at scale. [linkedin.com]
- **Warning**: The company states it will never ask for payment as part of the recruitment process. [monks.com/careers]

## Sources
1. [Monks Official Website](https://www.monks.com/)
2. [Monks Careers Page](https://www.monks.com/careers)
3. [Monks LinkedIn Profile](https://www.linkedin.com/company/monks)
4. [Monks "What We Do" Page](https://www.monks.com/what-we-do)
5. [Monks Careers Search Page](https://www.monks.com/careers/search)

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