Senior Data Engineer

belron; Columbus (OH); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive weekly pay

Benefits valued at over $10k

Tuition reimbursement

Job summary

Safelite is seeking a Senior Data Engineer to implement and maintain data pipelines, focusing on ingestion, replication, and CI/CD for batch and streaming data. You will help build scalable data infrastructure to support analytics engineers and data scientists.

The role emphasizes collaboration with product owners and engineers, modernization of legacy ingestion, and ensuring data quality and security through RBAC and governance practices.

Qualifications

• Bachelor's degree in CS/engineering/analytics or related field.
• 4–6 years hands-on data engineering or analytics experience.
• Proficiency with ETL/ELT pipelines using Fivetran, Airbyte, Stitch or Informatica.
• Strong SQL, Python, and data governance knowledge.

Responsibilities

• Modernize and enhance legacy data ingestion processes for streaming and batch.
• Build scalable ETL pipelines to centralize data into a data lake.
• Develop and deploy CI/CD pipelines for data workflows.
• Improve monitoring and alerting to minimize downtime and maintain data quality.
• Collaborate with product owners and engineers on data ingestion needs.
• Participate in cross-functional projects to integrate source changes downstream.
• Ensure data engineering solutions align with business needs.

Skills

ETL pipelines

Snowflake/BigQuery

Advanced SQL

dbt

Informatica

Git

RBAC security

Data governance

Python

Cross-functional collaboration

Mentoring data teams

Ingestion from legacy systems

Airflow/Dagster

Cloud data architectures

Leadership/PM

Education

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

Tools

Fivetran

Airbyte

Stitch

Informatica

Job description

A Brief Overview

The Senior Data Engineer at Safelite is responsible for implementing and maintaining new data pipelines, focusing on data ingestion, replication, and continuous integration for batch and streaming data. This role will contribute to the development, maintenance, and enhancement of key data infrastructure, ensuring data quality and reliability. The expected outcome is a streamlined and efficient data environment that supports data availability for analytics engineers and data scientists.

What You Will Do

• Contribute to the modernization and enhancement of legacy data ingestion processes, ensuring they are efficient, scalable, and maintainable for both streaming and batch processes.
• Build scalable ETL pipelines to automate data ingestion from various sources into a centralized data lake, enabling 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.
• Partner with product owners and software engineers to identify data ingestion requirements and provide a supportable and sustainable data integration solution.
• 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
• 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, or equivalent Required
• 4-6 years hands on experience in data engineering or analytics related role Required
• Extensive Experience with ETL/ELT jobs and data pipelines using tools such as Fivetran, Airbyte, Stitch, or Informatica. (High proficiency)
• Proficiency in cloud data warehouses (e.g., Snowflake, BigQuery) and related 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 Git. (High proficiency)
• Deep understanding of data architecture principles, security practices, and RBAC best practices. (High proficiency)
• Ability to collaborate with cross-functional teams. (High proficiency)
• Experience managing and mentoring data teams. (Medium proficiency)
• Experience architecting ingestion patterns from legacy softwares such as IBM VSAM Mainframes, Oracle databases, and on-prem SQL Servers. (Medium proficiency)
• Ability to orchestrate complex workflows using tools like Airflow or Dagster. (Medium proficiency)
• Strong understanding of data governance and security practices. (Medium proficiency)
• Proficiency in Python or similar programing 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. #LI-Onsite #LI-JR2

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 or