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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager of Data Engineering - **Company:** Alo, LLC. - **Location:** Beverly Hills, CA, United States - **Experience:** Experienced - **Salary:** $200,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Batch Processing, Cloud Database, Code Review, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Operational Databases, Software Engineering, SQL Databases, Apache Spark, Electronic Medical Records, Functional Dependencies, Event Driven Architecture, Data Lakes, Information Technology, Apache Kafka, Data Pipelines, Databricks - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c4b0b7c6d539cf99 ## About the Role * Bachelor's or master's degree in Computer Science, Engineering or a related field. * 6+ years of experience in data engineering, software engineering, platform engineering, or related discipline. * 2+ years of experience managing or formally leading data engineers. * Strong hands-on proficiency in SQL and Python, with recent experience building production data solutions. * Demonstrated ability to balance people leadership and delivery management with direct technical contribution. * Experience designing, building, and supporting production-grade data pipelines, data products, and platforms. * Experience with cloud-based data technologies, preferably AWS. * Strong understanding of ETL/ELT, data modeling, data lake, and lakehouse architectures. * Experience with modern data technologies such as dbt, Airflow, Redshift, EMR, Databricks, Spark, Kafka, or Kinesis. * Experience with batch processing and real-time or event-driven architectures. * Experience supporting analytics, personalization, experimentation, or AI/ML use cases preferred. * Familiarity with data governance, security, privacy, CCPA, or GDPR preferred. ## Description * We are seeking an experienced Manager of Data Engineering to lead a team responsible for building and maintaining the data pipelines, models, data products, and platform capabilities that support decision-making across Alo. * This is a hands-on leadership role combining people management, technical execution, and delivery ownership. You will develop a team of data engineers, translate business priorities into technical plans, and ensure the delivery of reliable, scalable, and well-governed data solutions. * The ideal candidate is a strong engineering leader who remains technically hands-on. In addition to coaching the team and managing delivery, you will contribute to solution design, write and review code, and directly support critical data initiatives. REQUIREMENTS * Lead, coach, and develop a team of data engineers, setting clear expectations and supporting career growth. * Own the team's priorities, roadmap, and delivery commitments across platform and business-facing initiatives. * Remain hands-on by designing solutions, writing SQL and Python, reviewing code, and contributing directly to critical projects. * Partner with Analytics, Data Science, Product, Technology, and business stakeholders to translate business requirements into technical solutions. * Oversee the design, development, deployment, and support of reliable batch and real-time data pipelines. * Build scalable, reusable data products that translate business needs into trusted datasets, models, and services for analytics, operations, AI/ML, and decision-making. * Support the continued evolution of Alo's cloud-based data platform. * Strengthen data quality through automated validation, monitoring, alerting, lineage, and clearly defined ownership. * Manage cross-functional dependencies, identify risks, remove blockers, and communicate delivery progress. ## 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) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)