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Senior Data Engineer / Cloud Data Architect - Onsite

Cognizant

Hartford, CTJob$120–130K/yrSeen 6 days agoSeen in employer's feed 6 days ago

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At a glance

Compensation
$120–130K/yr
Location
Hartford, CT
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Cognizant seeks a Senior Data Engineer / Cloud Data Architect to design, develop, and implement enterprise-scale data solutions. The role focuses on data engineering, cloud platforms, big data technologies, ETL/ELT frameworks, data warehousing, and business intelligence across banking and insurance domains. The position requires 12+ years of expertise and offers an annual salary of $120,000–$130,000, depending on experience and qualifications.

Skills & qualifications

RequiredNice to have

Skills

ETL/ELT DevelopmentData IntegrationData MigrationTalendDataStageSparkHiveSQLPythonRSQL ServerPostgreSQLMSSQLSnowflakeGCEGKEIAMGCSCloud RunCloud FunctionsDBTEC2VPCS3GlueLambdaSNSSQSRDSElasticsearchCloudFormationCloudWatchRedshiftAuto ScalingLoad BalancingSnowSQLSnowParkVirtual WarehousesSnowpipeHadoop Ecosystem

Qualifications

12+ Years Experience

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 Summary

We are seeking an experienced Senior Data Engineer / Cloud Data Architect with 12+ years of expertise in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will have strong experience in Data Engineering, Cloud Platforms, Big Data technologies, ETL/ELT frameworks, Data Warehousing, and Business Intelligence solutions across Banking and Insurance domains.

Key Responsibilities

  • Gather, analyze, and translate business requirements into scalable technical solutions.

  • Design, develop, and implement end-to-end ETL/ELT data pipelines with robust error handling, monitoring, and audit capabilities.

  • Build and optimize enterprise data warehouses, data marts, and data lake architectures.

  • Develop and maintain scalable data solutions using SQL, Python, and cloud-native technologies.

  • Design and implement data models (Conceptual, Logical, and Physical) for OLTP and OLAP systems.

  • Develop and optimize data processing solutions using Spark, Hive, Kafka, Hadoop, and Snowflake.

  • Implement CI/CD pipelines and automate deployment processes using Jenkins and Git-based version control systems.

  • Collaborate with business stakeholders, architects, and cross-functional teams in Agile/Scrum environments.

  • Ensure data quality, governance, security, and performance optimization across enterprise platforms.

Required Skills & Qualifications

Data Engineering & ETL

  • Strong experience with ETL/ELT development using Talend, DataStage, Spark, Hive, and SQL-based frameworks.

  • Expertise in designing enterprise data integration solutions and data migration strategies.

Programming & Databases

  • Strong programming skills in:

  • Python

  • SQL

  • R

  • Expertise in:

  • SQL Server

  • PostgreSQL

  • MSSQL

  • Snowflake

Cloud & Data Platforms

Google Cloud Platform (GCP):

  • GCE, GKE, IAM

  • GCS

  • Cloud Run

  • Cloud Functions

  • DBT

Amazon Web Services (AWS):

  • EC2, VPC, IAM

  • S3, Glue, Lambda

  • SNS, SQS

  • RDS, Elasticsearch

  • CloudFormation

  • CloudWatch

  • Redshift

  • Auto Scaling & Load Balancing

Snowflake:

  • SnowSQL

  • SnowPark

  • Virtual Warehouses

  • Snowpipe

Big Data Technologies

  • Hadoop Ecosystem

  • Hive / HiveQL

  • Spark

  • Kafka

  • Sqoop

  • HBase

  • MongoDB

Application Accepted: 10/30/2026

The annual salary for this position is between $120,000 - $130,000 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 5,768 open Data Engineer jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$120–130K/yr
  • Connecticut median$120–208K/yr87 salary ranges
  • US median$125–208K/yr4,399 salary ranges

This range's midpoint, $125K, is 24% below the Connecticut median midpoint ($165K) — in the lowest quarter of Data Engineer salary ranges in Connecticut.

Openings
Olive Jobs lists 95 open Data Engineer jobs in Connecticut and 5,768 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Connecticut
Experience
This posting asks for at least 12 years of experience — more than three in four Data Engineer postings that state a minimum ask for (median 5 years, across 5,000 postings).
Education
2,687 of the 5,768 open Data Engineer jobs (47%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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