Data Engineer

We are seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have strong expertise in data integration, ETL/ELT processes, and cloud-based data platforms, with a focus on delivering high-quality, reliable data solutions that support analytics and business decision-making.

• Design, develop, and maintain scalable data pipelines and workflows (ETL/ELT)
• Build and optimize data architectures, including data lakes, data warehouses, and data marts
• Ingest, process, and transform large volumes of structured and unstructured data
• Ensure data quality, integrity, and reliability across systems
• Collaborate with data analysts, data scientists, and business stakeholders to define data requirements
• Implement data governance, security, and compliance best practices
• Optimize data storage, query performance, and cost efficiency in cloud environments
• Monitor and troubleshoot data pipeline performance and failures
• Maintain documentation for data flows, systems, and processes

• Active TS/SCI with Polygraph required.
• Bachelor’s degree in computer science, Software Engineering, or related field.
• 5+ years of experience in data engineering or a related field
• Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
• Experience with big data processing frameworks (e.g., Spark, Hadoop)
• Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar
• Experience with cloud data platforms (AWS, Azure, or GCP)
• Proficiency in programming languages such as Python, Scala, or Java
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
• Strong understanding of data modeling concepts (star/snowflake schemas)