Data Engineer (All Levels)

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
  
  
  

Job Description

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. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and

Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.

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.
  
  
  

Requirements

• 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

• Compensation - We carefully consider a wide range of compensation factors, including but not limited to prior experience, skills, expertise, location, and other considerations permitted by law.
• Healthcare - We offer Health, Vision, and Dental Plans for our employees and their families.
• Retirement Plan – We invest in your future with a competitive 401(k) plan, where we match 100% of your contributions up to your first 6% and give you access to Vanguard Admiral funds.
• Paid Time Off - Based on length of service, we offer a generous amount of paid leave.
• Bonus System – As you invest in us, we invest in you. We offer bonuses to all employees who meet and exceed goals throughout the year.
• Professional Development – Support for career growth through training programs and certifications.
• Company Retreats & Team Events – Sponsored trips, team-building activities, and annual conferences related to your skillset.
  
  
  

Flexible work from home options available.