Big Data Engineer

Job Title:

Big Data Engineer (Junior-Mid Level)Location: 100% Remote

DMV Area (Preferred)Our client is seeking a talented

Big Data Engineer

to work on internal technical initiatives in data engineering, data analytics, and software integration. This is a highly technical role in a true big data environment hosted on AWS Cloud. The ideal candidate will have

3-6 years

of experience, with a strong focus on building data pipelines, optimizing algorithms, and advanced SQL querying, rather than traditional ETL pipelines.Responsibilities:

Design, build, and optimize data pipelines to support business initiatives.Collaborate with the internal business stakeholders to improve data engineering and analytics capabilities.Optimize algorithms and work on complex SQL queries for data solutions.Work within an AWS environment, particularly

EMR , to manage and process large data sets.Use

Python, Java, or Scala

for development, alongside

test-driven development

practices.Build and maintain unit tests to ensure code quality.Required Skills:

3-6 years

of hands-on experience in data engineering.Strong expertise in

Python

(or

Java/Scala ), with proven coding proficiency.Advanced experience in

SQL , specifically for structuring complex queries.Experience building data pipelines (not ETL) and optimizing algorithms.Knowledge of

AWS EMR

and working in a big data environment.Familiarity with

Spark

and test-driven development.Preferred Qualifications:

Bachelor's degree in

Computer Science ,

Mathematics ,

Physics , or

Electrical Engineering .DMV area candidates preferred, though remote options may be available for exceptional candidates.