Senior Analytics Engineer

We are on our way to being the first company to power 1 MILLION GPUs and want world-class talent to join our amazing team!

The world is moving faster than ever, and yet, it will never move this slowly again. We are at the forefront of an incredible technological revolution but, at its core, it is fueled by incredible people. People like you.

1,000
Global Employees

11k
Happy Customers

16
International Offices

We are the world’s leading data intelligence platform that reliably accelerates massive datasets for actionable real-time insights. Join our team to help the best and brightest minds tackle the world’s biggest challenges in business, science, medicine, academia and government.

For the past 20 years, our team has kept us at the forefront of storage technology and has provided the foundation for enabling researchers to push the limits of "what can be done."
These innovations take research and discovery to the next level, enabling them to discover cures to disease, observe global warming patterns, model innovative automotive and aerospace designs, discover new sources of energy, make communities safer, and accelerate business results across a wide variety of industries.

At DDN, we understand our customers’ diverse needs. Whether you’re a data scientist, IT professional, executive, or researcher, our solutions empower you with cutting‑edge technology and unparalleled support.

• Highly Competitive Vacation Plans
• Paid Holidays
• Bonus Programs
• Tuition Reimbursement
• Employee Referral Program
• Excellent Medical, Dental and Vision Benefits
• Paid Leave Programs
• Anniversary and Recognition Awards

Full time

Hybrid

Department G&A Business Technology Data & Analytics

We’re looking for a Senior Analytics Engineer to own the transformation and modeling layer of DDN’s enterprise data platform. You’ll turn raw data from Salesforce, Workday, product systems, and other sources into trusted, well‑documented datasets that stakeholders across Sales, Finance, Product, and Operations actually use to make decisions. You’ll work closely with data engineers who manage ingestion and infrastructure, and with analysts and business partners who consume what you build.

Data modeling - design, build, and maintain dbt models that transform raw data into clean, reliable datasets for analytics and reporting

Data quality - implement and maintain testing, monitoring, and documentation so stakeholders can trust what they’re looking at

BI & semantic layer - build and maintain Sigma data models and workbooks that give business users self‑serve access to data

Collaboration - partner with business stakeholders to understand their analytical needs and translate them into scalable, maintainable data models; work with data engineers on source data requirements

5+ years in analytics engineering, data engineering, or a similar data-focused role

Expert-level SQL including experience with complex joins, window functions, CTEs, and performance tuning

Strong experience with dbt for building and maintaining transformation pipelines

Hands‑on experience with a cloud data warehouse (Big Query, Snowflake, Redshift, or similar)

Understanding of dimensional modeling and data warehouse design patterns

Experience building and maintaining BI content (dashboards, data models, semantic layers) in tools like Sigma, Looker, or similar

Strong Python skills for data analysis, automation, or pipeline work

Solid understanding of data quality practices including testing, monitoring, documentation

Strong communication skills and demonstrated ability to translate technical concepts for business stakeholders

Bachelor…