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# Analytics Engineer

- **Company:** Veeam Software Corporation
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Starter
- **Salary:** $127,000.0 - $212,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Information Systems, Databases, Customer Data Management, Data Validation, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Python (Programming Language), Apache Maven, Netsuite, SAP (Applications), Scala (Programming Language), SQL Databases, Google Cloud, Apache Spark, Kotlin, Information Technology, Veeam, Data Pipelines, Databricks
- **Published:** June 23, 2026
- **Apply:** https://www.builtincolorado.com/job/data-analytics-engineer/8745792

## About the Role

* 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)

## Description

Design and maintain scalable data models and pipelines for analytics. Collaborate with teams to ensure reliable data supporting business insights., 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.


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