Data Engineer

at  Tripoint Solutions

What we are looking for:
Tripoint Solutions is seeking a Data Engineer to join our team.
We are looking for a talented and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our software and data-driven initiatives.
Location: Remote with 10-15% travel to client sites across the United States. The selected candidate must be currently located in, or willing to relocate to, a state supported by Tripoint Solutions corporate offices: AL, CO, DC, DE, FL, GA, IL, IN, LA, MD, MI, MN, MS, NC, NJ, PA, SC, TN, TX, or VA.

EXPERIENCE, EDUCATION, AND TRAINING:

• Bachelor’s degree in computer science, software engineering, or a related field
• 5+ years of experience in data engineering, with a strong background in building and optimizing data pipelines.
• 3+ years of experience in direct supervisory role
• Experience with cloud platforms and services, such as AWS, Azure, or Google Cloud Platform. (Azure strongly preferred)
• Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL.
• Strong knowledge of database systems, data modeling, and query optimization techniques.
• Experience using SSRS, SSAS, SSIS, Power Pivot, PowerBI, and Tableau for reporting and business intelligence services in addition to custom exports to Excel using third party tools such as OfficeWriter
• Significant experience with data warehousing concepts, dimensional modeling, and ETL processes
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

CLEARANCE REQUIREMENTS:

• Applicants selected will be subject to a government security investigation.
• Must be a US Citizen.
  What we offer:

• Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and load structured and unstructured data from various sources.
• Collaborate with data scientists and analysts to understand data requirements, design data models, and implement solutions that support analytics, reporting, and machine learning initiatives.
• Optimize and tune data pipelines for performance, scalability, and reliability, ensuring timely delivery of data to downstream systems and applications.
• Implement data governance and security measures to ensure the integrity, confidentiality, and compliance of data assets.
• Work closely with DevOps and infrastructure teams to deploy and manage data infrastructure components, such as databases, data warehouses, and big data platforms.
• Monitor and troubleshoot data pipeline issues, perform root cause analysis, and implement solutions to prevent recurrence.
• Stay updated on emerging technologies, tools, and best practices in data engineering and big data processing.
• Managing and leading data and business intelligence engineers
  What you bring: