Manager of Data Engineering

Safelite; Columbus (OH); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

401(k) with company matching

Tuition reimbursement

Paid time off (PTO)

Career development opportunities

Job summary

Safelite Group, Inc. is seeking a Manager of Data Engineering to modernize legacy data pipelines, oversee ingestion and CI/CD, and lead a hands-on team of data engineers. You will design scalable ETL pipelines, deploy cloud-based data warehousing, and ensure data quality for analytics and embedded analysts.

You will mentor engineers, collaborate with cross-functional teams, optimize costs, and align data initiatives with business goals from the Safelite Home Office in Columbus, OH.

Qualifications

• Bachelor’s degree in CS/engineering/analytics or related field.
• 4–6 years in data engineering or analytics roles.
• 1–3 years managing a technical team.
• Strong ETL/ELT experience with Buildkite, AWS Glue, Informatica.
• Cloud data warehouses (Snowflake, BigQuery) and SQL mastery.
• Proficiency with Python and data governance basics.

Responsibilities

• Lead modernization of legacy ingestion, ensuring scalable, maintainable pipelines.
• Design scalable ETL pipelines to centralize data into a data lake.
• Develop and deploy CI/CD pipelines for data workflows; improve monitoring.
• Rebuild reporting workflows with cloud tools, ensuring performance and accuracy.
• Mentor data engineers; build training resources and scale tools.
• Collaborate across teams to align data efforts with business goals.
• Manage costs of data infrastructure and operations.
• Perform other duties as assigned.

Skills

AWS Glue

Apache Kafka

Snowflake

BigQuery

SQL

dbt

Airflow

Dagster

Python

GitHub

ETL/ELT

Informatica

Cost optimization

Education

Bachelor's Degree in computer science, engineering, analytics, or related field

Tools

Buildkite

Informatica

Snowflake

BigQuery

Oracle

Dagster

Airflow

GitHub

Job description

A Brief Overview

The Manager of Data Engineering at Safelite is responsible for modernizing key legacy data pipelines, focusing on data ingestion, replication, and continuous integration. This role will oversee the development, maintenance, and enhancement of key data infrastructure, ensuring data quality and reliability. Additionally, the Manager will serve as a player‑coach to a team of data engineers. The expected outcome is a streamlined and efficient data environment that supports data availability for key technical consumers ranging from analytics engineers to embedded analysts.

What you will do

• 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.
• Work closely with peers and leaders across the engineering and business organizations to align data engineering efforts with overall company goals. Participate in cross‑functional projects to integrate source system changes into downstream data pipelines and reporting assets. Ensure data engineering solutions are aligned with business needs and support data‑driven decision‑making.
• Manage costs associated with running data infrastructure and operations.
• Performs other duties as assigned.
• Complies with all policies and standards.

What You Will Need

• Bachelor's Degree in computer science, engineering, analytics, or related field (Required).
• 4‑6 years hands‑on experience in a data engineering or analytics related role (Required).
• 1‑3 years managing a technical team (Required).Extensive experience with ETL/ELT jobs and data pipelines using tools such as Buildkite, AWS Glue, and Informatica (High proficiency).
• Proficiency in cloud data warehouses (e.g., Snowflake, BigQuery) and relational databases (High proficiency).
• Advanced SQL skills, including window functions, CTEs, and nested queries (High proficiency).
• Experience with script‑based data transformation tools (e.g., dbt, Talend) (High proficiency)
• Ability to train and guide developers in using version control tools like GitHub (High proficiency)
• Deep understanding of data architecture principles (High proficiency)
• Ability to collaborate with cross‑functional teams (High proficiency)
• Experience managing and mentoring data teams (Medium proficiency)
• Experience with legacy data tools, such as mainframe systems, Oracle, and Informatica (Medium proficiency)
• Ability to orchestrate complex workflows using tools like Apache Airflow or Dagster (Medium proficiency)
• Strong understanding of data governance and security practices (Medium proficiency)
• Proficiency in Python or similar programming languages (Medium proficiency)
• Leadership skills with experience in project management (Medium proficiency)

What You Will Get

• Competitive weekly pay and bonus opportunities.
• Total job benefits valued at more than $10k. This includes a 401(k) plan with company matching, medical coverage plans customized to suit your needs, and a commitment to work/life balance through our paid time off (PTO) programs, company holidays and paid volunteer days.
• Up to $5,250 in tuition reimbursement per year.
• View all our health, wealth and life offerings at www.safelitebenefits.com.

Expected Work Location (In Office)

It is expected that you will primarily perform work at the Safelite Home Office (7400 Safelite Way, Columbus, OH 43235). You are required to work in the office at least 4 days a week. Changes to work location arrangements are subject to managerial approval and business needs.

Diversity

Diversity: Safelite welcomes everyone. We value our diverse workforce and suppliers, and we’re proud to be an equal opportunity employer. Learn more at Careers http://safelite.com/Careers

Disclaimers

This job description in no way states or implies that these are the only duties to be performed by an employee occupying this position. Employees may be required to perform other related duties as assigned to ensure workload coverage. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change.

This position description is not all inclusive for every aspect of this role. Reasonable accommodations will be made for individuals covered by ADA, ADEA, FMLA and other laws and regulations in accordance with their requirements. Physical and mental demands are not, and should not be construed to be job qualification standards, but are illustrated to help the employer, employee and/or applicant identify tasks where reasonable accommodations may need to be made when an otherwise qualified person is unable to perform the job’s essential duties because of an ADA disability.

Other qualifications may be required to ensure employment eligibility in accordance with local laws, regulations and with Safelite Group, Inc. policies and practices.

Benefit amounts are estimates only. Actual values will depend on benefit elections during enrollment.