Sr. Data Engineer

Work set-up: 
Full Remote
Contract: 
Salary: 
103 - 103K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years of hands-on data engineering experience with mission-critical pipelines in production., Strong expertise in SQL, including performance tuning for large-scale analytics., Proficiency with modern ETL/ELT frameworks like Airflow, AWS Glue, and Matillion, and experience with cloud platforms such as AWS., Solid understanding of data security, privacy, and governance principles..

Key responsibilities:

  • Design, build, and maintain production data pipelines using tools like Airflow and Matillion.
  • Collaborate with analytics and data science teams to deliver data models and dashboards.
  • Implement data quality, observability, and lineage frameworks for monitoring and automated remediation.
  • Partner with platform, security, and DevOps teams to ensure governance, cost control, and compliance.

Lakeshore Learning Materials, LLC logo
Lakeshore Learning Materials, LLC Retail (Super / Hypermarket) XLarge https://www.lakeshorelearning.com/
1001 - 5000 Employees
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Job description

Company Description

At Lakeshore, we create innovative learning materials and worldclass guest experiences for teachers, parents and children. Since 1954, we’ve grown into a global community—with a thriving ecommerce business, multiple catalogs, 60 retail stores, a peerless national sales force, plus international offices that support our preeminent supply chain division. But today we’re working better, smarter and faster than ever—and setting our sights even higher. We’re building an infrastructure designed for scalability, embracing datadriven decisionmaking and using technology to improve efficiency and ensure the best tools for the best work. Most importantly, we continue to invest in a diverse team of inquisitive top talent who fuel each other’s passions and curiosity, take risks, try new things, and believe that every new day brings opportunities for growth.

Job Description

We are currently seeking a Sr. Data Engineer to join our team. In this role, you will enable and enhance data insights for internal stakeholders, with significant overlap and collaboration across teams. You will also implement data quality, observability and lineage frameworks—creating monitoring, alerting and automated remediation for pipeline failures. The position also involves data cleanup, requirements gathering, data modeling and transformation, report and dashboard creation, and data mining and analytics on complex datasets. Applicants should have a solid grounding in data security, privacy and governance. The ideal candidate brings 5+ years of handson data engineering experience, including ownership of missioncritical pipelines in production.

A day on the job looks like this:

  • Design, build and own production data pipelines with tools such as Apache Airflow, Matillion and SSIS, ensuring robust orchestration, auto scaling and fault tolerance
  • Integrate data across heterogeneous systems (ERP, CRM, ecommerce, IoT and thirdparty APIs) using RESTGraphQL, Kafka, CDC tools, SFTP and eventstreaming patterns
  • Develop and evolve our data foundation (Redshift, SQL Server) architectures for both batch and realtime use cases
  • Collaborate with Analytics, BI and Data Science teams to deliver reusable semantic models powering Qlik, Power BI and Excel
  • Champion engineering excellence: CICD for data code, infrastructureascode (TerraformCDK), Gitbased workflows and peer code reviews
  • Perform rootcause analysis and optimization of SQL, Python and integration workflows
  • Partner closely with platform, security and DevOps teams to align on best practices for governance, cost control and compliance
  • Ensure reliability and performance of data pipelines by monitoring orchestration workflows and conducting root cause analysis of failures and performance issues. This includes proactively identifying bottlenecks and implementing alerts and recovery strategies to minimize data disruptions

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Retail (Super / Hypermarket)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Microsoft Excel
  • Collaboration
  • Communication
  • Problem Solving

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