We are looking for a Data Engineer to join our growing team in United States

Location - US (remote)

Top 3 Must Haves:
1. Experience building end-to-end data pipelines (batch/streaming, orchestration, monitoring)
2. Practical exposure to modern cloud data platforms (Databricks, Snowflake)
3. Strong hands-on PySpark with Spark performance tuning (joins, partitioning, caching, optimization)

Job Description:
-Strong hands-on experience in Python and PySpark, with a solid understanding of Spark concepts, performance tuning, and scalable data processing.
-Experience working with modern data management platforms such as Snowflake, Databricks, or similar cloud-based data platforms.
-Good understanding of data pipeline design, development, orchestration, and monitoring, including batch and streaming data processing.
-Familiarity with Medallion Architecture concepts, including bronze, silver, and gold layer design and best practices for data transformation.
-Strong understanding of autoscaling, cluster optimization, and cost-efficient data processing in cloud or distributed data environments.
-Experience with CI/CD, DevOps practices, and version control, with preference for candidates who have exposure to Terraform or infrastructure-as-code tools.
-Ability to collaborate with business, analytics, and engineering teams to design reliable, reusable, and scalable data solutions.

Benefits

A Competitive pay, the salary range for the role is $110,000 - $120,000.

If you like what you have read, send us your resume and let's start talking!