Senior Data Engineer

About Tripoint Solutions

We are technology innovators, partnered with state-of-the-art providers, such as AWS, ServiceNow, and UiPath, to drive digital transformation in the federal space. TPS teams are bringing automation and data science into areas of the government that are crying out for fresh tech-making positive impacts felt by tens of thousands of users, countless citizens, and all six branches of the military each day. Our Agile teams are responsible for envisioning, launching, and operating the massive data systems and analytics platforms used to manage $14.5B in government procurements and $200B in military real estate assets globally. At TPS, we apply the power of cloud technologies to help the government think smarter and function better-for everyone.

TPS Company Values

• We value and respect each employee's dedicated work and unique contributions as they directly impact who we are and what we do.
• Your talent and innovative thinking bring leading-edge solutions to our customers.
• Our success is driven by the dedication of our employees.
• Employee-generated solutions have sustained our continued success and customer satisfaction

Benefit Offerings

Tripoint Solutions builds flexibility into health benefit plan choices, covers most of the monthly premiums, and helps employees build a career with impact through our generous professional development program.

We offer all full-time employees:

• Medical, Dental, Vision benefits with a national provider network
• Flexible Spending and Health Savings Accounts (FSA & HSA)
• Company-paid Life and Disability insurance including Short-Term, Long-Term, and Accidental
• Supplemental Insurance
• Paid time off (PTO)
• 11 paid holidays
• 401(k) Retirement Plan
• Professional Development Reimbursement Program to pursue undergraduate, graduate, training, and certifications
• Monthly transportation, parking, and cell phone service reimbursement

Tripoint Solutions is an Equal Opportunity Employer/Veterans/Disabled

About the Role:

As a Senior Data Engineer, you will lead the design, development, and optimization of scalable data architectures that support complex business intelligence and analytics initiatives. Your role is pivotal in transforming raw data into actionable insights by building robust data pipelines and integrating diverse data sources using cloud-based databases. You will collaborate closely with data scientists, analysts, and stakeholders to ensure data quality, accessibility, and security across the organization. This position demands a strategic thinker who can anticipate future data needs and implement frameworks that enhance data usability and performance.

Location: Remote. The selected candidate must be currently located in, or willing to relocate to, one of the states supported by Tripoint Solutions corporate offices: AL, CO, DC, DE, FL, GA, IL, IN, KS, LA, MD, MN, MS, NC, NJ, OH, PA, SC, TN, TX, or VA. (No relocation assistance provided.)

Clearance Requirements:

• Applicants selected may be subject to a government security investigation.
• USA Citizenship is required.

Responsibilities:

• Design, develop, and maintain scalable and efficient data pipelines and architectures using modern data engineering frameworks.
• Develop and maintain Data-as-a-Service capabilities.
• Implement and manage cloud database solutions to support large-scale data storage and processing requirements.
• Collaborate with business intelligence teams to integrate BI tools and ensure seamless data flow for reporting and analytics.
• Monitor and optimize data systems for performance, reliability, and security, adhering to best practices and compliance standards.
• Lead data engineering projects, mentor junior engineers, and contribute to the continuous improvement of data infrastructure and processes.
• Collaborate with cross-functional teams to align data strategies with business objectives.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 5+ years of professional experience in data engineering or a closely related role.
• Proficiency with data architecture frameworks and designing data models for complex systems.
• Hands-on experience with cloud databases such as AWS Redshift, Google BigQuery, or Azure SQL Database.
• Strong knowledge of BI tools like Tableau, Power BI, or Looker and their integration with data pipelines.

Preferred Qualifications:

• Master's degree in a relevant technical discipline.
• Experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Certifications in cloud platforms (AWS, Azure, GCP) or data engineering specialties.
• Proven track record of leading cross-functional teams and managing complex data projects.