ETL/Data Engineer - Remote Work

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

At INDI, we're passionate about empowering individuals and businesses worldwide. Our cutting-edge recruiters connect leading companies with top talent, fostering a dynamic environment where innovation thrives. Join us in shaping the future of work.

Overview of the Role

The ETL/Data Engineer will design and implement sophisticated data processing systems and ETL pipelines, transforming raw data into actionable business insights through advanced technical expertise and strategic data architecture.

Key Responsibilities

• Designing, developing, and maintaining scalable ETL pipelines and data processing systems with advanced technical proficiency.
• Building and optimizing data architectures that support efficient data extraction, transformation, and loading processes.
• Implementing data quality checks and monitoring systems to ensure accuracy and reliability.
• Collaborating with data analysts and business teams to understand requirements and deliver solutions.
• Optimizing data storage and retrieval processes for improved performance and cost-effectiveness.
• Troubleshooting and resolving complex data pipeline issues while maintaining system stability.

Requirements

• Experience: 3+ years in ETL development, data engineering, or related fields
• Programming: Strong knowledge of SQL, Python, and data processing frameworks
• Cloud Platforms: Experience with data warehousing concepts and cloud-based data platforms
• Database Design: Understanding of data modeling and performance optimization
• Version Control: Familiarity with version control systems and data pipeline orchestration tools
• Data Quality: Knowledge of data quality assurance and monitoring best practices
• Language: Advanced level of English
• Flexibility: Choose where and how you work for enhanced creativity and innovation.
• Tailored Compensation: Personalize your earnings to suit your financial goals.
• Tech-Driven Tools: Access cutting-edge resources for seamless collaboration and productivity.
• Autonomous Workflow: Take control of your schedule to achieve work-life balance.
• Well-being: Enjoy generous leave policies for rest and rejuvenation.
• Diversity & Inclusion: Thrive in a diverse and inclusive environment.
• Collaboration: Engage with industry leaders for collective growth.
• Development: Access mentorship and growth opportunities for continuous advancement.