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