Data Engineer

Gomyneed Private Limited; Northern (KY); Hybrid; USD 121,000 - 164,000; Full time

Job summary

Dropbox is hiring a Data Engineer (Remote - US: Select locations). This role focuses on building and maintaining Spark and SparkSQL jobs to populate data models and owning end-to-end pipelines from requirements through deployment, monitoring, and iteration.

You will collaborate with data scientists, analysts, product managers, and engineers to turn data needs into durable models, extend datamarts, and support recurring reporting across products.

Qualifications

• 2+ years of development experience with Spark, Python, Java, C++, or Scala.
• 2+ years of SQL experience, including query performance tuning.
• 2+ years of experience with schema design and dimensional data modeling.
• Experience building and maintaining production data pipelines that others depend on.
• Working exposure to a cloud data lake or lakehouse platform (Databricks preferred).

Responsibilities

• Build and maintain Spark and SparkSQL jobs that populate company data models.
• Own end-to-end pipelines from requirements through deployment, monitoring, and iteration.
• Contribute to data quality frameworks, testing, and data lineage instrumentation.
• Partner with data scientists, analysts, product managers, and engineers to turn data needs into durable models.
• Extend datamarts and data models supporting recurring reporting and analysis across products.

Skills

Spark

Python

Java

C++

Scala

SQL

Dimensional data modeling

Tools

Databricks

Job description

Dropbox Remote - US: Select locations Remote

About this role

Dropbox is hiring a Data Engineer (Remote - US: Select locations). This is an Engineering role listed on the official Dropbox careers site.

Key Responsibilities

• Build and maintain Spark and SparkSQL jobs that populate company data models
• Own well-scoped pipelines end to end, from requirements through deployment, monitoring, and iteration
• Contribute to data quality frameworks, testing, and data lineage instrumentation
• Partner with data scientists, analysts, product managers, and engineers to turn data needs into durable models
• Extend datamarts and data models supporting recurring reporting and analysis across products

Requirements

• 2+ years of development experience in Spark, Python, Java, C++, or Scala
• 2+ years of SQL experience, including query performance tuning
• 2+ years of experience with schema design and dimensional data modeling
• Experience building and maintaining production data pipelines that others depend on
• Working exposure to a cloud data lake or lakehouse platform, Databricks preferred

Salary: $120,900–$163,500 per year

Job Type: Remote