Spreetail
Employer Industry: E-commerce
What to Expect (Job Responsibilities):
Design and implement reliable, scalable data systems and infrastructure for analytics and operational use cases
Lead the advancement of the Hybrid Data Platform strategy and improve data modeling and transformation processes
Collaborate with cross-functional teams to understand business priorities and deliver effective data solutions
Champion high standards in code quality, testing, and operational excellence across data engineering practices
Mentor junior engineers and contribute to the continuous evolution of modern software systems
What is Required (Qualifications):
6+ years in software engineering, data platform engineering, or backend engineering roles
Proven experience in building and maintaining systems for analytical, operational, or machine learning workloads
Strong fundamentals in software engineering, including distributed systems and API design
Fluency in SQL and modern programming languages such as C#, Python, or Go
Familiarity with modern data stack technologies and tools like dbt, Dagster, or Trino is a plus
How to Stand Out (Preferred Qualifications):
Experience mentoring junior engineers and leading technical migrations
Background in architecting scalable data platforms and evolving modern software systems
#Ecommerce #DataEngineering #RemoteWork #CareerGrowth #HealthBenefits #DiversityAndInclusion
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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What to Expect (Job Responsibilities):
Design and implement reliable, scalable data systems and infrastructure for analytics and operational use cases
Lead the advancement of the Hybrid Data Platform strategy and improve data modeling and transformation processes
Collaborate with cross-functional teams to understand business priorities and deliver effective data solutions
Champion high standards in code quality, testing, and operational excellence across data engineering practices
Mentor junior engineers and contribute to the continuous evolution of modern software systems
What is Required (Qualifications):
6+ years in software engineering, data platform engineering, or backend engineering roles
Proven experience in building and maintaining systems for analytical, operational, or machine learning workloads
Strong fundamentals in software engineering, including distributed systems and API design
Fluency in SQL and modern programming languages such as C#, Python, or Go
Familiarity with modern data stack technologies and tools like dbt, Dagster, or Trino is a plus
How to Stand Out (Preferred Qualifications):
Experience mentoring junior engineers and leading technical migrations
Background in architecting scalable data platforms and evolving modern software systems
#Ecommerce #DataEngineering #RemoteWork #CareerGrowth #HealthBenefits #DiversityAndInclusion
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
#J-18808-Ljbffr