Senior Data Engineer - Remote Data Pipelines & Analytics

Scalepex; United States; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

100% Remote

Contractor scheme

Job summary

Scalepex is seeking a Data Engineer / Senior Data Engineer to design, build, and scale robust data pipelines and analytics solutions. You will work across the full data lifecycle—from ingestion and transformation to modeling and delivery—while contributing to architectural decisions and best practices.

You will collaborate with cross-functional teams in a fast-paced environment, leveraging Databricks, AWS data lake concepts, and CI/CD workflows to deliver high-quality data products and insights.

Qualifications

• 3-7 years of experience in data engineering or software development at an enterprise level.
• Strong hands-on experience with: Apache Spark (Scala), Python, MySQL and columnar storage formats (Parquet).
• Experience with AWS ecosystem, including data lake architectures.
• Familiarity with Airflow, Databricks, and GitHub Actions.

Responsibilities

• Design, build, and scale robust data pipelines and analytics solutions.
• Contribute to architectural decisions and best practices.
• Gather requirements from vested teams to build features.
• Collaborate across teams to ensure timely delivery and data quality.

Skills

Data engineering

ETL design

Data modeling

Big data analytics

Tools

Apache Spark (Scala)

Python

MySQL

Parquet

Airflow

Databricks

GitHub Actions

Aerospike

Play Framework

Angular

Tableau

Hadoop/EMR

Linux systems

AWS data lake

Job description

Scalepex is seeking a Data Engineer / Senior Data Engineer to design, build, and scale robust data pipelines and analytics solutions. You will work across the full data lifecycle—from ingestion and transformation to modeling and delivery—while contributing to architectural decisions and best practices.

You will collaborate with cross-functional teams in a fast-paced environment, leveraging Databricks, AWS data lake concepts, and CI/CD workflows to deliver high-quality data products and insights.