Full Stack Data Engineer

Lorven Technologies Inc.; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

A leading IT consulting firm is seeking a Full Stack Data Engineer to work remotely. This mid-senior level role involves designing scalable big data and ETL solutions, leveraging AWS and various data processing tools. Ideal candidates will have strong programming skills in Python or Scala, along with expertise in SQL and data modeling.

Qualifications

• Proven experience as a Data Engineer on cloud platforms (AWS preferred).
• Proficiency in Scala or Python.
• Strong expertise in SQL and Unix/Linux shell scripting.

Responsibilities

• Design and implement scalable big data and ETL solutions.
• Work with distributed data processing tools and modern data platforms.
• Ensure solid programming foundation in Python or Scala.

Skills

Data Engineering

AWS

Python

Scala

SQL

Unix/Linux shell scripting

Apache Spark

Apache Kafka

Snowflake

Databricks

Job description

Job Title: Full Stack Data Engineer

Location: Remote (USA)

Job Type: Long-term Contract (W2 only)

About the Role:

We are seeking a skilled Data Engineer with a strong background in cloud platforms—preferably AWS—to design and implement scalable big data and ETL solutions. The ideal candidate will have experience working with distributed data processing tools, modern data platforms, and a solid programming foundation in Python or Scala.

Required Skills & Qualifications:

• Proven experience as a Data Engineer working on cloud platforms (AWS preferred).
• Proficiency in at least one programming language: Scala or Python.
• Strong expertise in SQL and Unix/Linux shell scripting.
• Hands-on experience with distributed data/computing tools such as Apache Spark and/or Apache Kafka.
• Familiarity or working experience with Snowflake and Databricks.
• Solid understanding of data modeling, ETL design patterns, and big data architectures.

Good to Have:

• AWS certification (e.g., AWS Certified Data Analytics – Specialty) is a plus.
• Experience with CI/CD pipelines and DevOps practices for data engineering.

Seniority level:

Mid-Senior level

Employment type:

Contract

Job function:

Information Technology and Engineering

Industries:

IT Services and IT Consulting and Information Services