Senior Cloud/Data Engineer

Expedite Technology Solutions LLC; McLean (VA); Presencial; USD 100.000 - 130.000; Jornada completa

Descripción de la vacante

A technology solutions company is seeking a Senior Cloud/Data Engineer in McLean, Virginia. The ideal candidate will have 5-7 years of experience in data engineering, strong proficiency in Python, and familiarity with AWS and Apache Spark. Responsibilities include developing models and algorithms, using version control systems, and designing RESTful APIs. Candidates must hold a Bachelor's degree in computer science or a related field, with advanced studies preferred. This position offers an opportunity to work on cutting-edge technologies in a collaborative environment.

Formación

• 5-7 years of experience in data engineering with strong proficiency in Python.
• Strong proficiency in Spark SQL, SQL, and database management.
• Experience with cloud platform AWS (EMR, EKS, Lambda).

Responsabilidades

• Develop statistical and optimization programs for models and algorithms.
• Utilize version control systems like Git and BitBucket.
• Implement RESTful API design and development.

Conocimientos

Data Engineering with Python programming

Apache Spark and PySpark

AWS

Snowflake

Educación

Bachelor’s degree in computer science or related discipline

Descripción del empleo

Senior Cloud/Data Engineer

Expedite Talent Solutions

Top Skills

• Data Engineering with Python programming
• Apache Spark and PySpark
• AWS
• Snowflake

Job Description

• 5-7 years of experience in data engineering with strong proficiency in Python programming language (Nice to have: Scala, Java).
• Strong proficiency in Spark SQL, SQL, Gremlin, GraphQL and database management (Snowflake cloud‑based warehousing).
• Strong experience with data processing frameworks, DataFrames, Apache Spark, Graph DBs.
• Experience with cloud platform AWS (EMR, EKS, Lambda).
• Experience writing statistical and/or optimization programs to develop models and algorithms.
• Programming languages may include—but are not limited to—Python, R.
• Solid understanding of SDLC practices including development, testing, and release management.
• Experience with version control systems such as Git, BitBucket.
• Experience with RESTful API design and development.
• Familiarity with PySpark for large‑scale data processing and analysis.

Required Qualifications

• Bachelor’s degree in computer science or related discipline; advanced studies/degree preferred.
• 5-7 years of experience in data engineering.