This range is provided by GCS. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Seeking a Data Engineer to design, develop, and maintain robust data pipelines and data transformation processes. The role focuses on ensuring high data quality and availability, supporting analytics, and enabling machine learning workflows.
Key Responsibilities
* Develop and maintain scalable data pipelines and transformation workflows
* Ensure data integrity, reliability, and timely delivery to stakeholders
* Model raw data into consumable datasets for end-users
* Support platform maintenance and troubleshoot data issues
* Collaborate with cross-functional teams to deliver data solutions
* Work with modern data and cloud technologies
Required Skills & Experience
* Minimum 2 years’ experience in a data engineering or similar role
* Proficient in SQL (DDL, DML) and Python
* Experience with relational databases (e.g., Redshift, Postgres, MySQL)
* Familiarity with distributed systems and large-scale data processing
* Experience with data warehousing and analytics projects
* Experience with cloud platforms (e.g., AWS, EC2, Databricks, Glue, S3, Azure)
What’s Offered
* Flexible work environment
* Opportunities for career growth and skill development
* Supportive culture focused on wellbeing and inclusion
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering, Information Technology, and Product Management
* Industries
IT Services and IT Consulting, Data Infrastructure and Analytics, and IT System Data Services
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