Data Engineer

OverviewWe 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.What will you do?Design, develop, and maintain scalable data pipelines and workflows (ETL/ELT)Build and optimize data architectures, including data lakes, data warehouses, and data martsIngest, process, and transform large volumes of structured and unstructured dataEnsure data quality, integrity, and reliability across systemsCollaborate with data analysts, data scientists, and business stakeholders to define data requirementsImplement data governance, security, and compliance best practicesOptimize data storage, query performance, and cost efficiency in cloud environmentsMonitor and troubleshoot data pipeline performance and failuresMaintain documentation for data flows, systems, and processes Do you have what it takes?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 fieldStrong 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 similarExperience with cloud data platforms (AWS, Azure, or GCP)Proficiency in programming languages such as Python, Scala, or JavaExperience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)Strong understanding of data modeling concepts (star/snowflake schemas)