Sr Staff Engineer – Data Analytics

NationsBenefits India; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

NationsBenefits India is seeking an experienced Sr. Staff Engineer – Data Analytics to help build and scale trusted analytical data products, reusable data models, and semantic foundations that support business decision-making and customer reporting.

This highly technical, hands-on role sits at the intersection of analytics engineering, data architecture, and software engineering, requiring collaboration across data teams and cross-functional partners to deliver scalable solutions.

Qualifications

• : 10+ years of experience in analytics engineering, data engineering, BI, or related field.

Responsibilities

• Design and build production-grade analytical models using dbt and Databricks.
• Develop scalable Gold-layer, dimensional, and domain-oriented data models.
• Design and evolve enterprise semantic models, metrics, dimensions, and KPIs.
• Build reusable data products supporting reporting, analytics, and self-service BI.
• Partner with business, analytics, product, and engineering teams to translate requirements into scalable technical solutions.
• Develop automation using Python, SQL, and scripting.
• Participate in code reviews, debugging, performance optimization, and production support.
• Establish engineering standards and provide technical mentorship across data teams.

Skills

Advanced SQL

Python

Dimensional modeling

Data governance

dbt

CI/CD

Automated testing

Code reviews

Reusable data products

Tools

dbt

Databricks

Delta Lake

Lakehouse architecture

Tableau

Git

Job description

We’re looking for an experienced Sr. Staff Engineer – Data Analytics to help build and scale trusted analytical data products, reusable data models, and semantic foundations that support business decision-making and customer reporting.

This is a highly technical, hands-on role for someone who enjoys working at the intersection of analytics engineering, data architecture, and software engineering.

What You’ll Do

• Design and build production-grade analytical models using dbt and Databricks
• Develop scalable Gold-layer, dimensional, and domain-oriented data models
• Design and evolve enterprise semantic models, metrics, dimensions, and KPIs
• Build reusable data products supporting reporting, analytics, and self-service BI
• Partner with business, analytics, product, and engineering teams to translate requirements into scalable technical solutions
• Develop automation using Python, SQL, and scripting
• Participate in code reviews, debugging, performance optimization, and production support
• Establish engineering standards and provide technical mentorship across data teams

What We’re Looking For

• 10+ years of experience in analytics engineering, data engineering, BI, or a related field
• Advanced SQL and strong analytical data-modeling experience
• Production experience with dbt
• Strong hands-on Databricks experience, including Delta Lake / Lakehouse architecture
• Experience with Tableau or comparable BI platforms
• Strong understanding of dimensional modeling, Gold-layer architecture, semantic modeling, metrics, and data governance
• Strong Python and automation/scripting experience
• Experience with Git, CI/CD, automated testing, and code reviews
• Experience building reusable data products, not just individual reports or dashboards

Ideal Profile

Someone who can comfortably move between Databricks optimization, dbt transformations, Python debugging, enterprise semantic modeling, and business stakeholder conversations.