Remote ETL & Data Engineer — Build Scalable Pipelines

INDI Staffing Services; United States; Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Flexible Work Location

Personalized Compensation

Cutting-edge Tools

Autonomous Schedule

Generous Leave

Job summary

INDI Staffing Services in the United States seeks an experienced ETL/Data Engineer to design and implement robust data pipelines and processing systems. You will transform raw data into actionable insights and collaborate with analysts and business teams to deliver scalable solutions.

The role requires 3+ years in ETL development or data engineering, strong SQL and Python, experience with cloud data platforms, data modeling, and data quality practices.

Qualifications

• 3+ years in ETL development, data engineering, or related fields.
• Strong knowledge of SQL, Python, and data processing frameworks.
• Experience with cloud-based data platforms and data warehousing concepts.
• Understanding of data modeling and performance optimization.
• Familiarity with version control and data pipeline orchestration tools.
• Advanced English language skills.
• Ability to work flexibly across locations and hours.
• Openness to mentorship and professional growth.
• Commitment to well-being and inclusive work environment.

Responsibilities

• Designing, developing, and maintaining scalable ETL pipelines and data processing systems.
• Building and optimizing data architectures to support ETL.
• Implementing data quality checks and monitoring systems.
• Collaborating with data analysts and business teams to understand requirements.
• Optimizing data storage and retrieval for performance and cost.
• Troubleshooting and resolving data pipeline issues while maintaining system stability.

Skills

ETL Development

Data Engineering

SQL

Python

Data Modeling

Cloud Platforms

Data Warehousing

Version Control

Data Quality

English Proficiency

Data Pipelines

Collaboration

Mentorship

Growth Mindset

Tools

Airflow

Job description

INDI Staffing Services in the United States seeks an experienced ETL/Data Engineer to design and implement robust data pipelines and processing systems. You will transform raw data into actionable insights and collaborate with analysts and business teams to deliver scalable solutions.

The role requires 3+ years in ETL development or data engineering, strong SQL and Python, experience with cloud data platforms, data modeling, and data quality practices.