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SR Snowflake Developer- Onsite

Cognizant

Wilmington, DEJob$130–135K/yrSeen 3w agoSeen in employer's feed today

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At a glance

Compensation
$130–135K/yr
Location
Wilmington, DE
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

Cognizant seeks a Senior Data Engineer to design, build, optimize, and support scalable data pipelines and cloud-based data solutions. The role focuses on Snowflake, Python, SQL, ETL/ELT development, data quality, performance optimization, CI/CD, and production troubleshooting. The successful candidate will own pipelines from source ingestion through Snowflake transformation and production support, and provide technical guidance to junior engineers.

Skills & qualifications

RequiredNice to have

Skills

Snowflake, requiredPython, requiredSQL, requiredETL/ELT, requiredData Warehousing, requiredGit, nice to haveCI/CD, nice to haveREST APIs, nice to havePandas, nice to haveOracle, nice to haveSQL Server, nice to haveCSV, nice to haveJSON, nice to haveParquet, nice to haveXML, nice to haveData Quality, requiredReconciliation, requiredMonitoring, requiredPerformance Tuning, nice to haveProduction Support, nice to haveTroubleshooting, requiredRoot Cause Analysis, required

Qualifications

7+ Years Data Engineering Experience, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
401(k) Match
Parental Leave

Full job description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

Job Title: Senior Data Engineer – Snowflake & Python

Job Summary:

We are seeking an experienced Senior Data Engineer with strong expertise in Snowflake, Python, SQL, and modern data engineering practices. The ideal candidate will design, build, optimize, and support scalable data pipelines and cloud-based data solutions, working with large volumes of structured and semi-structured data.

The role requires hands-on experience with ETL/ELT development, Snowflake data warehousing, Python automation, data quality, performance optimization, CI/CD, and production troubleshooting.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines using Python, SQL, and Snowflake.

Build ingestion and transformation processes for data from sources such as Oracle, SQL Server, APIs, flat files, and cloud object storage.

Develop and optimize Snowflake objects including databases, schemas, tables, views, stages, streams, tasks, and stored procedures.

Write complex and performance-optimized SQL queries for data transformation and analytics workloads.

Work with structured and semi-structured formats including CSV, JSON, Parquet, and XML.

Perform Snowflake performance tuning through query analysis, warehouse sizing, clustering strategy, and optimization of data-processing patterns.

Implement data-quality controls including source-to-target validation, reconciliation, duplicate checks, null checks, schema validation, and exception handling.

Design effective logging, error handling, retry, monitoring, and alerting mechanisms for production pipelines.

Troubleshoot data discrepancies, failed pipelines, performance bottlenecks, and production incidents.

Apply Snowflake security concepts including RBAC, roles, privileges, secure views, and data-access controls.

Participate in code reviews and ensure solutions meet engineering, security, scalability, and maintainability standards.

Build and maintain CI/CD pipelines using Git-based development and deployment practices.

Create and maintain technical documentation, data mappings, operational procedures, and implementation specifications.

Mentor junior engineers and provide technical guidance on Python, SQL, Snowflake, and data-engineering best practices.

Required Qualifications

7+ years of experience in data engineering, ETL/ELT, data warehousing, or related development.

Strong hands-on development experience with Snowflake.

Advanced proficiency in Python for data processing, automation, APIs, and pipeline development.

Advanced SQL skills, including joins, CTEs, window functions, stored procedures, query optimization, and large-volume data processing.

Strong troubleshooting and root-cause-analysis skills.

Experience implementing data-quality, reconciliation, monitoring, and exception-handling frameworks.

Primary Skills : Snowflake, Python, SQL, ETL/ELT, Data Warehousing

Secondary: Git, CI/CD, REST APIs

Snowflake: Streams, Tasks, Stages, Snowpipe, RBAC, Query Optimization, Warehouses

Python: Pandas, APIs, file processing, exception handling, logging, automation

Data: Oracle, SQL Server, CSV, JSON, Parquet, XML

Engineering: Data Quality, Reconciliation, Monitoring, Performance Tuning, Production Support

Candidate Profile

The successful candidate should be a hands-on senior engineer capable of owning a data pipeline from source ingestion through Snowflake transformation and production support. They should be comfortable solving complex Python/SQL problems, optimizing Snowflake workloads, investigating data-quality issues, and designing maintainable solutions rather than simply developing one-off ETL

jobs. Application Accepted: 10/30/2026

The annual salary for this position is between $130,000 - $135,000 depending on experience and other qualifications of the successful candidate.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance

  • Paid holidays plus Paid Time Off

  • 401(k) plan and contributions

  • Long-term/Short-term Disability

  • Paid Parental Leave

  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable language

Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.

If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!

#LI-AV1#CB#Ind123

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

How this job compares

Set against the 6,358 open Data Engineer jobs on Olive Jobs, counted November 15, 2026.

Pay
  • This posting$130–135K/yr
  • Delaware median$123–190K/yr30 salary ranges
  • US median$116–202K/yr5,213 salary ranges

This range's midpoint, $133K, is 17% below the Delaware median midpoint ($160K) — in the middle half of Data Engineer salary ranges in Delaware.

Openings
Olive Jobs lists 35 open Data Engineer jobs in Delaware and 6,358 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Delaware
Experience
This posting asks for at least 7 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,629 postings).
Education
2,537 of the 6,358 open Data Engineer jobs (40%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 15, 2026. Figures based on too few postings are left out.

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