Jobs and Careers

Data Analytics Engineer- Finance

Remote, United States, United StatesRemotefull_timeVerifiedPosted 10 Jun 2026

💰 $212,000/yr($92,300/yr – $212,000/yr)

About the role

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

#LI-JC2

#LI-REMOTE

About the Role

We are seeking an Analytics Engineer to join our internal Data Management team. As an Analytics Engineer, you will be part of the team transforming and delivering data for our Finance team use. You will be responsible for designing, implementing, and maintaining our data marts, pipelines, and data processes. This role requires a blend of strong technical skills, analytical thinking, and an understanding of business processes.

For team alignment, we are prioritizing applicants on the East Coast.

What You’ll Do

Design, implement, and maintain scalable and reliable data marts and transformation processes
Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and requirements
Develop and optimize data models and schemas to ensure data is stored efficiently and can be retrieved and analyzed quickly
Implement ETL processes and frameworks to transform raw data from multiple sources into structured formats suitable for analysis
Work closely with our internal Data, Architecture, and DevOps teams to ensure the reliability and scalability of data systems
Monitor and troubleshoot data pipelines, and look for opportunities for continuous improvement
Implement data quality checks and testing frameworks to ensure accuracy and integrity of financial data.

What You’ll Bring

Bachelor's or Master’s degree in Computer Science, Information Systems, or a related field, or equivalent work experience
Strong proficiency in SQL and experience with database and data warehouse systems
Experience building and deploying data processes in a cloud environment (Azure, AWS, GCP)
Experience in at least one programming language (e.g., Python, Java, Scala)
Understanding of best practices in designing ETL/ELT processes, data modeling, and data warehousing

Bonus Skills

Experience with Databricks and Spark
Experience with Azure Cloud
Experience with Python or Kotlin
Experience with Salesforce data
Familiarity with ERP systems (NetSuite, SAP, or similar)

Please note: The position is based in the United States. If the applicant is permanently located outside of the United States, Veeam reserves the right to decline the application.

What you'll get

Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
Medical, dental, and vision coverage starting on your first day
Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
401(k) retirement plan with company matching contributions
Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
AirVet: 24/7 virtual veterinary care at no cost
Legal services, identity protection, and supplemental health insurance options
Tax-advantaged spending accounts for healthcare, dependent care, and commuting
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Compensation Transparency

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive perform