Data Engineer

Cognizant

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Irvine, CA
Salary
$64,000–$94,500 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k
This role $79k
$47k $227k
below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $126,800–$209,675 — the blue band above. At the midpoint, this role pays about $79k versus about $168k 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 408 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 266 roles with salary data.

Most-posted roles

View all roles at Cognizant

At a glance

TL;DR · Data Engineer

JOB TITLE: Data Engineer The Data Engineer joins the team to develop new data pipelines in Azure Databricks and contribute to the enterprise data lakehouse. This role involves enhancing existing SQL Server Agent jobs, stored procedures, views, functions, and SSIS packages while managing surrounding schema changes. The engineer will develop data integrations with external systems and APIs using Salesforce MuleSoft and write complex T-SQL against large data volumes. Key responsibilities include building data models for Power BI reporting, performing data validation, and providing production support for 300 data integration jobs. Required skills include Microsoft SQL Server, T-SQL, Spark SQL, PySpark, Delta Lake, and MuleSoft. The role utilizes AI-assisted development tools like Cursor and Claude Code to solve technical problems across academic and administrative departments.

What does a Data Engineer earn in California?

Median $193300 from 40 postings across 22 companies.

See salary data

What you'll do

  • Develop new data pipelines in Azure Databricks and contribute to the enterprise data lakehouse.
  • Enhance and extend SQL Server Agent jobs, stored procedures, views, functions, and SSIS packages.
  • Develop and extend data integrations with external systems and APIs using Salesforce MuleSoft.
  • Write and tune complex T-SQL by analyzing execution plans and applying indexing and statistics strategies.
  • Build and maintain data models and datasets to support Power BI reporting and gateway configurations.
  • Perform data validation, reconciliation, and data-quality checks across source and target systems.
  • Provide production support by monitoring, triaging, and resolving failures for 300+ data integration jobs.
  • Use AI-assisted development tools to accelerate coding, troubleshooting, and documentation while validating all outputs.

What we're looking for

  • 5+ years of hands-on Microsoft SQL Server and T-SQL development experience.
  • Advanced set-based T-SQL skills including window functions, common table expressions, and conditional aggregation.
  • Experience building, scheduling, monitoring, and troubleshooting SQL Server Agent job chains in production.
  • Experience developing and maintaining SSIS packages and debugging failures in deployed packages.
  • Demonstrable hands-on experience with Azure Databricks, including notebooks, jobs, workflows, Spark SQL, PySpark, and Delta Lake.
  • Hands-on development of MuleSoft API integrations, including Mule flows, DataWeave transformations, and production monitoring.
  • Productive use of AI-assisted development tools like Cursor, Claude Code, or Databricks Genie to write, refactor, and troubleshoot code.
  • Ability to work 100% on site in Irvine, California during standard Pacific business hours.

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