Data Engineer with IRS MBI Clearance

Job Title: Data Engineer

Location: Remote.

Duration: Full-Time.

NEED IRS MBI Clearance with IRS GFE

Position Overview

We are seeking an experienced Data Engineer to design, build, and maintain scalable data processing pipelines using modern big data technologies. The ideal candidate will have strong development skills and experience with distributed computing frameworks.

Required Skills & Qualifications

Bachelor's degree in Computer Science, Engineering, or related technical field

5+ years of software development experience

Strong proficiency in Python, Java or Scala programming languages

Extensive hands-on experience with Apache Spark, including

• Spark SQL
• Spark Streaming and its data sources KAFKA, CDC feed, etc
• Performance optimization and tuning
• Data transformation and processing

Hands on Experience working with cloud-based Spark platforms (Databricks, AWS EMR, AWS Glue)

Strong understanding of Hive, Unity catalog, Glue catalog

Hands on Experience working with any data quality framework/tools

Hands on Experience working with Observability and monitoring for data processing pipelines

Strong understanding of distributed computing concepts

Proficiency in version control systems (Github/GitLab/Bitbucket)

Technical Requirements

Experience building and maintaining high-volume data processing pipelines

Knowledge of data modeling and ETL / ELT best practices

Familiarity with SQL and NoSQL databases

Understanding of data warehouse concepts and dimensional modeling

Preferred Qualifications

Experience with real-time data processing and streaming architectures

Knowledge of Delta Lake or similar data lakehouse technologies

Experience with CI/CD pipelines

Cloud platform expertise (AWS/Azure/GCP)

Contributions to open-source projects

Key Responsibilities

Design and implement scalable data pipelines

Optimize existing data workflows for performance and reliability

Collaborate with data scientists and analysts to support their data needs

Implement data quality checks and monitoring

Maintain documentation for data processes and architectures

Soft Skills

Strong problem-solving abilities

Excellent communication skills

Team collaboration

Ability to work independently

Strong attention to detail

The ideal candidate should have a proven track record of developing and maintaining production-grade data pipelines and be passionate about working with large-scale data systems.