Python Data Engineer- Hybrid-

Job Description

Job Title : Python Data Engineer

Location : Hybrid - Westlake, TX or Ashburn, VA

Employment Type : Full-Time

Job Description :

We are seeking a skilled Python Data Engineer witha strong background in Python development and data engineering. The ideal

candidate will have at least 3+ years of Python development experience and

expertise in data processing, transformation, and optimization. This role requires

working in a hybrid model at our Westlake,

TX or Ashburn, VA locations.

Key Responsibilities :

• Develop,

maintain, and optimize data pipelines using Python.

and implement scalable data architectures to support business needs.

with large datasets and ensure efficient data processing.

with data scientists, analysts, and software engineers to enhance data

workflows.

data integrity, quality, and security best practices are followed.

SQL and NoSQL database queries for performance improvements.

data ingestion and transformation processes.

Requirements

Required Qualifications :

of hands-on Python development experience in a data engineering

environment.

experience with ETL pipelines, data

integration, and transformation.

in working with SQL databases (PostgreSQL, MySQL, or SQL

Server).

with big data technologies such as Spark, Hadoop, or Kafka.

with cloud platforms (AWS, Azure, or GCP) and data services.

problem-solving skills and ability to work in a collaborative environment.

communication skills and the ability to work in a hybrid setting.

Preferred Qualifications :

with NoSQL databases like MongoDB or Cassandra.

of containerization and orchestration tools (Docker, Kubernetes).

with data governance and compliance best practices.

with CI / CD pipelines for data applications.

Benefits

Why Join Us?

to work on cutting-edge data engineering projects.

and innovative work environment.

salary and benefits package.

work flexibility with offices in Westlake, TX, and Ashburn, VA.

If you are a passionate Python Data Engineer looking for a new challenge, apply today!