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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Marketing Associates, LLC - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, BigQuery, Code Review, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Systems, Data Flow Control, Python (Programming Language), Marketing Information Systems, Gemini Enterprise (Agent Platform), SQL Databases, Google Cloud, Sql Optimization, Git, Information Technology, Deployment Automation, Software Version Control, Data Pipelines, Api Management - **Published:** October 3, 2026 - **Apply:** https://www.dice.com/job-detail/6b0f66ae-4458-4c86-95ac-233570e965f8 ## About the Role * Bachelor's degree in computer science, engineering, information systems, or a related field, or equivalent experience * 3+ years of data engineering experience, including production batch pipelines on Google Cloud Platform (BigQuery, Cloud Composer/Airflow, Dataflow) * Advanced SQL skills, with experience building SQL-first pipelines in BigQuery * Strong Python skills * Experience building API integrations, ideally on Cloud Run * Hands-on experience with version control and CI/CD (Git, PR workflows, automated deployments) * Ability to gather requirements from technical and non-technical stakeholders, and confidence working directly with clients * The judgment to make design tradeoffs and explain them clearly Future-Ready Skills (Nice to Have) * Experience with Dataform or dbt for modular, tested, version-controlled transformations * Experience building with Gemini Enterprise agents (formerly Vertex AI) * Background in consumer or marketing data, such as CRM, campaign response, or customer identity data * Experience using AI-assisted development tools to speed up pipeline builds, testing, and documentation ## Description As a Senior Data Engineer on our Customer Analytics team, you'll own the data foundation behind CRM analytics, measurement, and data science work for major enterprise brands. You'll design and run production pipelines on Google Cloud and decide how data gets modeled, validated, and delivered. Your work turns messy source data into something analysts, data scientists, and clients can trust. When our insights shape how a client spends its marketing budget, your pipelines are the reason those numbers hold up. The Impact You'll Have Our clients are large, data-savvy organizations that expect every recommendation to come with proof. Their CRM programs, campaign measurement, and customer segmentation all depend on data you build and maintain. A late or broken feed means a wrong answer in a client meeting. A well-engineered one means faster decisions and measurable ROI. You'll work between data science, analytics, BI, and client teams. You'll be the person who turns a business question into a data design, and the one who keeps a platform running that serves every discipline on the account. AI and ML work is moving from experimentation into production across our client environments. You'll help make that happen by building the data plumbing that lets models and agents run reliably inside Google Cloud Platform, instead of stalling in a notebook. What You'll Do Build the Pipelines That Power Client Analytics * Design, build, and maintain batch data pipelines on Google Cloud Platform using BigQuery, Dataform, Cloud Composer/Airflow, and Dataflow. Take a SQL-first approach and build to scale as client data grows. * Write and optimize complex SQL that keeps BigQuery fast and costs predictable. * Build external data API integrations on Cloud Run to bring third-party and platform data into a single, usable environment. Own Data Quality End to End * Own the validation and cleansing pipelines that catch data problems before they reach a dashboard, a model, or a client. * Troubleshoot pipeline failures quickly, including tracing issues upstream, and fix root causes so the same failure doesn't come back. Fuel Data Science and Analytics * Partner with data scientists and analysts to deliver reliable, well-documented datasets that shorten the path from question to insight. * Work with the data science team on AI/ML integrations in Google Cloud Platform so models can move into production workflows. Translate Business Questions into Data Solutions * Lead requirements conversations with client and internal stakeholders, and turn loosely defined asks into clear data designs. * Build and maintain dashboards and handle ad-hoc client data requests. Where it makes sense, turn one-off requests into repeatable assets. Engineer with Discipline * Use Git, pull request workflows, and CI/CD automated deployments to ship changes safely and often. * Raise the team's engineering standards through code reviews and shared best practices. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## Related Articles - [Got AI ideas but no money? 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