JobCubby JobCubby
Sign up
DDN

Senior Analytics Engineer

DDN New York, New York, United States · $150K–$185K/yr

Software Development · 1,001-5,000 employees

Oct 14
Remote data-analyst Senior (5-10 yrs) Full-time United States
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.

About the role

Own the transformation and modeling layer of the enterprise data platform, building reliable, documented dbt datasets from sources such as Salesforce, Workday, and product systems. Maintain data quality practices and Sigma models and workbooks, while collaborating with data engineers, analysts, and business stakeholders to support self-service analytics and decision-making.

What they look for

SQL Dbt Data Modeling Data Quality Python Cloud Data Warehousing Dimensional Modeling Business Intelligence Semantic Layers Sigma Computing Data Documentation Data Testing Data Monitoring Data Governance Stakeholder Communication CI/CD

Requirements

Requires 5+ years in analytics engineering, data engineering, or a similar role, expert SQL, strong dbt and Python skills, and hands-on experience with a cloud data warehouse. Candidates should understand dimensional modeling, BI and semantic layers, data quality practices, and stakeholder communication; a bachelor’s degree in a quantitative field or equivalent practical experience is required.

Benefits

Equity Bonus

Full description

The Role

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.

What You’ll Own

  • 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

Your Experience Includes

  • 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 (BigQuery, 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’s degree in a quantitative field or equivalent practical experience

Nice to Have

  • Experience with Sigma Computing specifically
  • Familiarity with data quality frameworks (e.g., Elementary, Great Expectations)
  • Familiarity with data governance practices — PII handling, access controls, documentation standards
  • Experience with version-controlled, CI/CD-driven analytics workflows
  • Prior experience in a small data team where you wore multiple hats

Similar roles