Hiring: Manager of Data Engineering Company: Safelite Location: Columbus, OH Job Posted Time: 2026-09-15 11:39:17 Target Skills & Keywords : AWS, Airflow, BigQuery, CI/CD, Dagster, Data Lake, Data Pipeline, Data Warehouse, ELT, ETL, Embedded Systems, GitHub, Informatica, Kafka, Project Management, Python, SQL, Snowflake, Talend, Workday, dbt About the job Experience: •4-6 years hands on experience in a data engineering or analytics related role Required •1-3 years managing a technical team Required •6 years hands on experience in a data engineering or analytics related role Required •3 years managing a technical team Required Required Skills: •Lead the effort to modernize and enhance legacy data ingestion processes, ensuring they are efficient, scalable, and maintainable using tools such as AWS Glue or Apache Kafka •Design and build scalable ETL pipelines to automate data ingestion from various sources into a centralized data lake and enable a proactive posture toward consuming source system updates and changes. •Develop and deploy continuous integration and continuous deployment (CI/CD) pipelines to automate and streamline data engineering workflows. Enhance monitoring and alerting systems to proactively identify and resolve issues, minimizing downtime and ensuring data quality. •Analyze and deconstruct complex operational and financial reporting workflows from legacy systems. Rebuild these workflows using modern cloud-based tools, ensuring they are optimized for performance and scalability. Collaborate with stakeholders to ensure the new workflows meet business requirements and improve reporting accuracy and efficiency. •Serve as a player-coach, providing technical guidance and mentorship to a team of skilled data engineers. Develop training programs and resources to enhance the team's technical capabilities and ensure successful maintenance and scaling of new tools and processes. •Manage costs associated with running Data infrastructure and operations. •Performs other duties as assigned •Complies with all policies and standards Qualifications: •Bachelor's Degree in computer science, engineering, analytics, or related field Required Compensation: •Competitive weekly pay and bonus opportunities Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!