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.