Jobs / Saf***

Senior Data Engineer

Saf*** · Columbus, OH, United States
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Columbus, OH, United StatesRemote
Remuneration
Not specified
Location
Columbus, OH, United States
Visa sponsorship
Sponsors visa

Job summary

JOB DESCRIPTION Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company.

Benefits

Valued at more than $10k*.Up to $5,250 in tuition reimbursement per year.View all our health, wealth and life offerings at www.safeliteYou are required to work in the office at least 4 days a week.Changes to work location arrangements are subject to managerial approval and busLI-Onsite #LI-JR2This job description in no way states or implies that these are the only

Qualifications

  • You should apply – even if you don’t match every single requirement!
  • 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
  • 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
  • may be required to ensure employment eligibility in accordance with local laws, regulations and with Saf*** Group, Inc.
  • policies and practices.
  • This job description in no way states or implies that these are the only

Responsibilities

  • Let us be the best place you'll ever work.
  • The Senior Data Engineer at Saf*** is responsible for implementing and maintaining new data pipelines, focusing on data ingestion, replication, and continuous integration for batch and streaming data.
  • 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
  • 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

Skills

LeadershipProject Management

Degrees

AssociateBachelorDegree

Industry

AutomotiveLogisticsMedia

Company size

Smb

Contract length

6 years