Data Engineer (All Levels)

Summary

Silverthorne Advisory Group is seeking a skilled and highly motivated Data Engineer to join an exciting and growing opportunity within the Defense sector. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems.

Responsibilities

• Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks
• Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing
• Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets
• Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency
• Troubleshoot data-related problems and provide innovative solutions to address complex data challenges
• Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices
• Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures
• Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes
• Maintain documentation for software applications, workflows, and processes
• Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement

Skills

• Secret clearance or higher required (can be sponsored)
• High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks
• Strong problem-solving skills and ability to solve complex data-related issues
• Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently
• Understanding of data modeling/visualization, database design principles, and data governance practices
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Detail-oriented mindset with a commitment to delivering high-quality results

Qualifications

Must Haves

• Secret clearance or higher required (can be sponsored)
• High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks
• Strong problem-solving skills and ability to solve complex data-related issues
• Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently
• Understanding of data modeling/visualization, database design principles, and data governance practices
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Detail-oriented mindset with a commitment to delivering high-quality results

Benefits

• Retirement Plan
• 401(k)
• 401(k) matching
• Bonus based on performance
• Company parties
• Competitive salary
• Dental insurance
• Health insurance
• Opportunity for advancement
• Paid time off
• Training & development
• Vision insurance