Develop, maintain, and implement data solutions to support business objectives
Design and scale custom internal APIs in Go and Ruby that serve as the backbone for analytics products.
Maintain code quality and system reliability by applying backend best practices to data-heavy service.
Create data warehouses and pipelines, such as Extract, Transform, and Load (ETL) processes.
Implement Data Validation layers within the backend to ensure the integrity and accuracy of metrics before they reach the user.
Research and evaluate emerging data technologies
Translate Data Science Models into production-grade code, taking the business logic defined by the reporting team and making it performant at scale.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or related field.
2+ years of experience as a Backend Engineer.
Experience in data architecture, ETL processes, and data warehousing.
Expertise with modern backend architecture, including microservices, containerization, and automated testing for data pipelines.
Deep proficiency in Go (for performance) and Ruby (for rapid application development) and SQL.
Experience with Big Data technologies (e.g. Clickhouse, Spark, etc.).
Excellent problem-solving and analytical skills.
Able to work independently and as part of a team.

Benefits

The Salary range offered for this position varies from (USD) $1,800 - $2,000 per month, depending on seniority and skillset.
This position is for an independent contractor, through a payroll platform.
The talent will work REMOTELY allocated at our client.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

GoRubySQLETLdata architecturedata warehousingmicroservicescontainerizationautomated testingBig Data

problem-solvinganalytical skillsindependent workteam collaboration

Bachelor’s degree in Computer ScienceBachelor’s degree in Information Systems