**This position is contingent upon contract award and gives the selected candidate right of first refusal, if awarded!

DAS Services is an organization dedicated to leveraging data-driven insights to drive growth and operational excellence. We are seeking a talented Senior Data Engineer to join our team on a contingent basis. As a Senior Data Infrastructure Engineer, you will play a pivotal role in assembling, optimizing, and automating complex data infrastructure to empower key stakeholders with actionable insights.

Job Description: We are looking for a seasoned Senior Data Infrastructure Engineer to join our dynamic team. In this role, you will be responsible for assembling large, complex sets of data that meet both non-functional and functional business requirements. You will identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Additionally, you will build the required infrastructure for the optimal extraction, transformation, and loading of data from various sources using Azure, AWS, and Google technologies.

Key Responsibilities:

• Assemble large, complex sets of data that meet non-functional and functional business requirements.
• Identify, design, and implement internal process improvements to enhance scalability and efficiency.
• Build infrastructure for the extraction, transformation, and loading of data from various sources using Azure, AWS, and Google technologies.
• Develop analytical tools to utilize the data pipeline and provide actionable insights into key business metrics.
• Collaborate with stakeholders, including data, design, product, and executive teams, to address data-related technical issues.
• Support stakeholders such as the Executive, Product, Data, and Design teams in their data infrastructure needs.

• Active Secret Clearance
• Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred.
• Minimum of 10 years of experience in a similar role, with a proven track record of success.
• Expertise in building and optimizing data pipelines for large-scale data sets.
• Proficiency in cloud technologies such as Azure, AWS, and Google Cloud Platform.
• Strong programming skills in languages such as Python, SQL, or Java.
• Excellent problem-solving abilities and attention to detail.
• Effective communication and collaboration skills, with the ability to work across diverse teams.

• Free Health Care from Aetna
• Dental Coverage
• Vision Coverage
• Paid Time Off
• 401K
• Employer Paid Group Life
• Flexible Spending Accounts
• Professional Development Training