> Markdown version of [/jobs/ext/2581821-data-engineer-dataops](https://www.wearedevelopers.com/jobs/ext/2581821-data-engineer-dataops). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - DataOps - **Company:** MONK INC. - **Location:** Cupertino, CA, United States - **Experience:** Expert - **Salary:** $130,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Apache HTTP Server, Business Logic, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), DataOps, Software Engineering, SQL Databases, Workflow Management Systems, Apache Spark, Reliability of Systems, Git, Core Data, Apache Kafka, Software Version Control, Data Pipelines, Docker - **Published:** August 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=159d4f00bd15e7e2 ## About the Role * 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. ## Description 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., * 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., * 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., * 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023)