Data Engineering Manager - Remote

Overview

Spokeo is seeking a Data Engineering Manager to help build a state-of-the-art analytics platform, leading a cross-functional team of data engineers to deliver high-quality, scalable data solutions.

In Short

• Lead and manage data engineers for business intelligence needs.
• Build a state-of-the-art data analytics platform.
• Collaborate with data scientists, analysts, and product managers.
• Lead database development and data pipeline integration using AWS.
• Define and manage SLAs for data sets and reporting processes.
• Develop software engineering best practices.
• Document and enforce data quality and integrity best practices.

Requirements

• 7+ years in Business Intelligence and Data Warehousing.
• 5+ years with cloud solutions (AWS, Azure).
• 5+ years with big data technologies (Spark, Hadoop, Kafka).
• 5+ years with data pipelines orchestration tools like Airflow.
• 2+ years managing data engineering teams.
• Expertise in data lakes, warehouses, and modeling.
• Familiarity with MLOps.
• Expertise in RDBMS and SQL.
• Bachelor’s degree in Computer Science or related field.
• Attention to detail and strong communication skills.

Benefits

• Bonus program and equity plans.
• 401K and merit-based salary increases.
• 100% medical/dental/vision coverage.
• Unlimited employee PTO.