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# Data Engineering Manager in Pasadena

- **Company:** Energy Jobline
- **Location:** Pasadena, CA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Data Architecture, Information Engineering, Data Files, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Database Development, Apache Hadoop, MapReduce, Apache Hive, Information Management, Machine Learning, Query Optimization, Cloud Services, Software Engineering, SQL Databases, Apache Spark, Data Lakes, Information Technology, Data Analytics, Apache Kafka, Data Management, Machine Learning Operations, Data Pipelines
- **Published:** September 30, 2026
- **Apply:** https://www.energyjobline.com/job/data-engineering-manager-pasadena-31738383

## About the Role

* 7+ years of experience in Business Intelligence and Data Warehousing
 * 5+ years of experience with cloud solutions (AWS, Azure)
 * 5+ years of experience with big data technologies (Spark, Hadoop, MapReduce, Hive, Kafka)
 * 5+ years of experience with data pipelines orchestration tools like Airflow.
 * 2+ years of experience managing data engineering teams, providing technical guidance, and mentoring data engineers.
 * Expertise in data lakes, warehouses, modeling, ETL, and big data platforms.
 * Familiarity with MLOps to help design, automate, and streamline the entire lifecycle of ML models.
 * Expertise in RDBMS, SQL, query optimization, and security
 * A Bachelor's degree in Computer Science, Information Management, or a related field
 * Attention to detail, excellent problem-solving ability, and strong communication skills

## Description

Spokeo is seeking a Data Engineering Manager to help build a state-of-the-art analytics platform. As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that meet our data, reporting, and analytics needs. You will provide leadership and technical skills to champion and implement data governance, data integrity, data engineering standards, data integration, and QA best practices. You will partner closely with our Product Owners to understand requirements, provide technical guidance to the team, and ensure the timely delivery of quality solutions.

What you'll do:

 * Lead and manage data engineers to build data solutions for our business intelligence needs
 * Lead a cross-functional team in building a state-of-the-art data analytics platform
 * Collaborate with data scientists, analysts, product managers, and executives to understand and fulfill our data needs
 * Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies
 * Define and manage SLA's for all data sets and reporting processes
 * Develop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworks
 * Document, automate, and enforce data quality, data integrity, and QA best practices


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