Home › Companies › Veeam Software › Data Analytics Engineer- Finance
Data Analytics Engineer- Finance
Veeam Software · Remote, United States · Remote · Active · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Veeam Software |
| Title | Data Analytics Engineer- Finance |
| Normalized title | - |
| Department / team | Corp Tech, Data 1009138 |
| Location | United States |
| Work model | Remote / Remote |
| Employment type | - |
| Salary | Salary |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-03-13 / 2026-06-11 |
| Changed / last seen | 2026-06-23 / 2026-06-23 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Veeam Software. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Corp Tech, Data 1009138. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Veeam Software |
| Source | f9b5e56a-dc9b-424c-a81c-3db405b07cd9 |
| ATS provider | Greenhouse |
Description
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 a n 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 performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.
In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.
U.S. Geographic Zones & Compensation Ranges (TTC / OTE) Zone 1: San Francisco Bay Area, New York City Boroughs $127,200 — $212,000 USD Zone 2: Washington, California (excluding San Francisco Bay Area) $116,700 — $194,400 USD Zone 3: Texas, Illinois, North Carolina, Colorado, Massachusetts, Pennsylvania, Virginia, Oregon, Nevada, Hawaii, New York (excluding NYC boroughs); Sales roles located in Georgia, Ohio, and Arizona $106,100 — $176,800 USD Zone 4: All other US locations $92,300 — $153,800 USD
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice , which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
Full job record
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| Provider | greenhouse |
| Provider Job Key | 4743651101 |
| Title | Data Analytics Engineer- Finance |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote, United States |
| Department | Corp Tech, Data 1009138 |
| Team | — |
| Employment Type | — |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Salary |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://job-boards.eu.greenhouse.io/veeamsoftware/jobs/4743651101 |
| Apply URL | https://job-boards.eu.greenhouse.io/veeamsoftware/jobs/4743651101 |
| First Seen At | 2026-06-11 07:38:14Z |
| Last Seen At | 2026-06-23 07:39:16Z |
| Last Checked At | 2026-06-23 07:39:16Z |
| Last Changed At | 2026-06-23 07:39:16Z |
| Inactive At | — |
| Source Posted At | 2026-03-13 12:33:15Z |
| Source Updated At | 2026-06-22 20:56:42Z |
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