Manager of Data Engineering

Safelite

Columbus (OH)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Weekly pay & bonus opportunities
Tuition reimbursement up to $5,250 per
Health benefits and PTO

Job summary

Safelite in Columbus, OH is seeking a Manager of Data Engineering to modernize legacy data pipelines, oversee ETL/ELT and CI/CD implementations, and mentor a team of data engineers. You will drive scalable data architectures and collaborate with analytics and embedded analysts to ensure reliable data availability.

The role requires 4–6 years in data engineering, 1–3 years in team leadership, and strong SQL, Python, and cloud data warehouse skills.

Qualifications

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

Responsibilities

  • Lead modernization of legacy data ingestion processes for efficiency and scalability using tools like AWS Glue or Kafka.
  • Design and build scalable ETL pipelines to centralize data into a data lake.
  • Develop and deploy CI/CD pipelines to automate data workflows and improve quality.
  • Analyze and rebuild legacy reporting workflows using modern cloud tools for performance.
  • Provide technical guidance as a player-coach and mentor data engineers.
  • Collaborate with peers to align data engineering with company goals and data-driven decisions.
  • Manage costs for data infrastructure and operations.
  • Perform other duties and comply with policies.

Skills

ETL/ELT pipelines
AWS Glue
Informatica
Snowflake
BigQuery
SQL
Python
Apache Airflow
Dagster
dbt
GitHub
Data governance
Leadership
Project management
Mentoring
Mainframe/Oracle
Cross-functional collaboration

Education

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

Tools

Buildkite
Apache Kafka
Informatica
Snowflake
Dagster
Airflow

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.
  • Perform other duties as assigned.
  • Comply 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.

Compliance and Equal Opportunity Statement

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

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

General Job Description Notices

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.

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