Lead Data Engineer

Cognizant

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Oak Park Heights, MN
Salary: $81,000–$140,000 / yr
Posted: 28 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k

This role $110k

$65k $227k

below market most similar roles pay here above market

This role pays less than 90% of similar roles. Most pay $126,800–$211,200 — the blue band above. At the midpoint, this role pays about $110k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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At a glance

TL;DR · Lead Data Engineer

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The Lead Data Engineer is a senior individual contributor within the Technology & Data organization who provides technical direction and thought leadership. This role involves designing, testing, and maintaining conceptual and analytical data models, including logical, physical, and dimensional star or snowflake schemas. You will build and optimize scalable end-to-end ETL/ELT data pipelines, manage code releases, and perform UAT to ensure reliable system performance. Key responsibilities include conducting code reviews, mentoring engineers, and implementing logging, metrics, and alerting for observability. You must demonstrate mastery in SQL, dbt, Snowflake, and Data Build Tool, with secondary skills in Fivetran. The role requires using Azure DevOps or GitHub for version control while collaborating with analysts and architects to align data solutions with strategic business goals.

Skills

SQL dbt Snowflake ETL ELT Fivetran Azure DevOps GitHub Monitoring Logging Metrics Agile Data Pipeline Orchestration snowflake) schema

What you'll do

Design, test, and maintain conceptual and analytical data models including star and snowflake schemas.
Build and optimize scalable, resilient end-to-end ETL/ELT data pipelines.
Use orchestration tools for scheduling, dependency management, and error handling.
Utilize dbt to ensure robust data flow and manage code releases.
Implement logging, metrics, and alerting for data pipeline monitoring and observability.
Manage version control and collaborative development using systems like Azure DevOps or GitHub.
Conduct peer code reviews to ensure high standards for technical quality and SQL best practices.
Provide technical direction and mentorship to analytics and data engineers.

What we're looking for

Design and maintain conceptual and analytical data models, including logical, physical, and dimensional schemas.
Build and optimize scalable, maintainable, and resilient end-to-end ETL/ELT data pipelines.
Utilize orchestration tools for scheduling, dependency management, and error handling.
Use platforms like dbt to ensure robust data flow and manage code releases.
Demonstrate mastery of SQL skills and best practices.
Use version control systems for collaborative development and code management, such as Azure DevOps or GitHub.
Implement logging, metrics, and alerting for data pipelines.
Expertise in Data Build Tool, Snowflake, and Advanced Data Modelling is required.
Fivetran skills are secondary (preferred).