Data Engineer, Data Analyst (Remote)

Data Engineer / Analytics Engineer / Data Analyst (Remote)

Were Hiring Remote Data Role (High Growth Opportunity)

We are hiring a Data Engineer / Analytics Engineer / Data Analyst to join our fully remote team. This is a great opportunity for someone with 4+ years of experience who wants to work on real-world data systems, improve their skills, and grow in a fast-moving environment.

We are open to candidates who are strong in SQL, Python, and data workflows, even if they come from slightly different backgrounds (analytics, BI, or engineering).

Location

• 100% Remote
• Global applicants welcome
• Must be able to overlap with US working hours

Compensation

• $2,500 $3,500 USD per month
• Long-term opportunity for strong performers

What Youll Do

• Build and maintain ETL/ELT data pipelines
• Work with large datasets and improve data reliability
• Write and optimize SQL queries for analytics and reporting
• Support data models used for dashboards and business insights
• Work with cloud-based data systems (AWS, GCP, or Azure)
• Help improve performance, cost efficiency, and data quality
• Collaborate with engineering and analytics teams

Basic Requirements

We are looking for candidates who have:

• 4+ years of experience in data-related roles
• Strong SQL skills (must-have)
• Experience with Python or similar scripting language
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Experience working with datasets and building reports or pipelines
• Basic understanding of data warehousing concepts

Nice to Have (Not Required)

• Experience with Spark / Big Data tools
• Experience with Airflow or similar workflow tools
• Experience with Snowflake, BigQuery, Redshift, or Databricks
• Exposure to real-time or streaming data (Kafka, etc.)
• Startup or fast-paced environment experience

Who This Role Is NOT For

• Pure beginners with no real project experience
• Candidates without SQL experience
• Candidates unable to work independently in a remote setup

Why This Role

• Fully remote flexibility
• Work on real production data systems
• Opportunity to grow technical skills quickly
• Long-term engagement for strong performers

How to Apply

Please include:

• Brief summary of your experience
• Tools and technologies you have worked with
• Examples of data pipelines, dashboards, or systems youve built
• Your expected monthly rate
• Your timezone and availability