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Want Senior Data Engineer (Remote) in USA

Remote, USA Full-time Posted 2025-04-16

Job title: Senior Data Engineer (Remote)

Company: Openlane

Job description: Location: Remote-North America (EST preferred)



Who We Are:



At OPENLANE we make wholesale easy so our customers can be more successful.



We??re a technology company building the world??s most advanced??and uncomplicated??digital marketplace for used vehicles.



We??re a data company helping customers buy and sell smarter with clear, actionable insights they can understand and use.



And we??re an innovation company accelerating the future of wholesale remarketing through curiosity, collaboration, and an entrepreneurial spirit.



Our Values:



Driven Waybuilders. We pursue challenges that inspire us to build, create and innovate.



Relentless Curiosity. We seek to understand and improve our customers?? experience.



Smart Risk-Taking. We transform risk into progress through data, experience, and intuition.



Fearless Ownership. We deliver what we promise and learn along the way.



What We Offer:



Competitive pay



Medical, dental, and vision benefits with employer HSA contributions (US) and FSA options (US)



Immediately vested 401K (US) or RRSP (Canada) with company match



Paid Vacation, Personal, and Sick Time



Paid maternity and paternity leave (US)



Employer-paid short-term disability, long-term disability, life insurance, and AD&D



Robust Employee Assistance Program



Employer paid Leap into Service Day to volunteer



Tuition Reimbursement for eligible programs



Opportunities to expand your skill set and share your knowledge across a publicly traded, global organization



Company culture of internal promotions, diverse career paths, and rapid advancement



We??re Looking For:



We are seeking a Senior Data Engineer (Remote) with experience in Python and SQL. You will be part of a Data and BI team responsible for implementing/maintaining ADF ETL jobs to ingest external data sources into the Snowflake Data Warehouse and working closely with the Product and Data Science teams to deliver data in useable formats and to the appropriate data sources. In this role, you will have the opportunity to use your experience in AWS and/or Azure Cloud. The ideal candidate will have 7+ years of experience with Python and SQL.



What You Will Be Doing:



You will participate daily in Agile ceremonies to help design, plan, build, test, develop, and support Openlane data products and platforms consisting of ADF ETL pipelines and Postgres, DynamoDB, Elastic search, and Snowflake databases. Our team works in a shared services delivery model supporting seven lines of business, including front-end customer facing products, B2B portals, mobile applications, business analytics, and data science initiatives.



Responsibilities include:



Work with product, data science, analytics, and engineering teams to learn project data needs and define project scope



Design and planning of data services solutions on the Data Platform



Building and delivery of Python/Docker feed framework data pipeline jobs and services



Contribute to the Data Engineering team delivery framework including building of re-usable code, implementing industry best practices, and maintain a common delivery framework



Monitoring, maintenance, documentation, and incident resolution of scheduled production data jobs supporting internal and external customers data needs



What You Need to Be Successful:



7+ years of experience in SQL and Python development including working with data science packages (required)



Experience planning and designing maintainable data schemas (required)



Experience with Azure Cloud or AWS (required)



Experience using Github / Azure DevOps (CI/CD) (required)



Experience with ADF, Docker, Kubernetes and data warehouse environments (preferred)



Experience with Kinesis/Kafka (preferred)



Experience working with large enterprise data lakes / Snowflake (preferred)



Sound like a match? Apply Now - We can't wait to hear from you!

Expected salary:

Location: USA

Apply Job!

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