Data Engineer
ADA Global17 days ago
San Francisco, CA, USAEntry Level / Mid Level
Base Salary
$52k - $52k/yr
Responsibilities
- Design, develop, maintain, and support large-scale data warehouses, ETL processes, and data pipelines.
- Ensure database performance, availability, security, and reliability, including Amazon Redshift environments.
- Analyze and troubleshoot batch failures, database connectivity, access, and performance issues.
- Perform SQL and query optimization and database performance tuning.
- Contribute to database architecture, security, compliance, engineering, and operations.
- Support database object creation and deployment across development and production environments.
- Identify process improvements and maintain technical documentation.
- Serve as the point of contact for assigned projects and coordinate with customers and internal support teams in India.
Requirements
- 1–3 years of experience as a Data Engineer.
- Strong SQL knowledge and experience with ETL, data pipelines, and data warehousing.
- Knowledge of an ETL tool.
- Experience with performance tuning and query optimization.
- Linux server and shell scripting experience.
- Experience with AWS and/or Azure.
- Knowledge of data privacy, security, and compliance requirements.
- Customer Data Platform experience is preferred.
- Retail Marketing domain experience is a plus.
Benefits
- Remote position based in Texas.
- Approximately 20 working hours per week with flexible working hours, provided total weekly hours are met.
- 24/7 standby availability is required, including nights, weekends, and/or holidays.
- The posting lists an hourly rate of $50 USD per hour and a total base salary of $52,000.
Tech Stack
Categories
Data Engineering
About ADA Global
ADA Global builds data and AI platforms and services that help enterprises manage identity and authentication, personalization, commerce, and analytics across channels. Operating in 14 markets, it serves more than 1,500 brands in CPG, retail, telecommunications, financial services, and healthcare. Its business combines software and managed services, including cloud-native deployment, data engineering, and applied machine learning to improve customer experience and growth outcomes.