Nationwide

6 days ago

Sr Engineer, Software Engineer - Snowflake and Oracle (2 to 5 years experience)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Build and enhance data engineering solutions for the Retirement Solutions Operational Data Store and insight capabilities. You’ll develop scalable data pipelines and ETL processes, use Snowflake/Snowpark with SQL transformations, and support orchestration and automation with Snowflake Tasks and Snowpipe. Create data models and semantic views for analytics, reporting, and AI-enabled decision support, while applying data quality, security, and governed consumption patterns.

Location: Columbus

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and support data engineering solutions for the Retirement Solutions Operational Data Store and related insight capabilities.
•Develop and maintain scalable data pipelines and ETL processes to modernize data movement and transformation.
•Use Snowflake, Snowpark, and SQL-based transformation techniques to curate business-ready data assets.
•Support orchestration and automation using Snowflake Tasks, Snowpipe, and related platform capabilities.
•Create and maintain data models and semantic views and enable governed data access patterns for analytics, reporting, and AI-enabled insight use cases.

Pay and Benefits

Salary: USD 76,000 - 143,000 annually

Perks:Health InsuranceDentalVisionLife Insurance401kPensionPaid Leave

Key Requirements

•2+ years of analysis and technology experience.
•Proficiency in one or more programming languages such as Java, C++, Python, or JavaScript.
•Experience with software development lifecycle and building solutions for moderately sophisticated business problems.
•Ability to design, build, and support data engineering solutions for operational data stores and insight capabilities.
•Knowledge of data engineering fundamentals including data pipelines, ETL modernization, data modeling, and semantic views.

Experience:2-5 years

Education:Bachelor's in computer science, management information systems, or other related degree

Skills:Team collaborationProblem-solvingContinuous improvementLearningProactive prioritization

Tech Stack:SnowflakeSnowparkSQLETLData pipeline orchestrationData modelingSemantic viewsSnowflake TasksSnowpipeSnowflake IntelligenceSnowflake CoWorkOracle CDCOpenFlowOracle XStreamJavaC++PythonJavaScriptDevSecOps

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Nationwide

Nationwide is a mutual insurance and financial services company offering auto, home, life insurance, retirement planning, investments, and banking products for individuals and businesses across the United States.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Columbus, United States

Founded: 1926

Glassdoor: 3.6

Website LinkedIn

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Nationwide

6 days ago

Sr Engineer, Software Engineer - Snowflake and Oracle (2 to 5 years experience)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Columbus

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and support data engineering solutions for the Retirement Solutions Operational Data Store and related insight capabilities.
•Develop and maintain scalable data pipelines and ETL processes to modernize data movement and transformation.
•Use Snowflake, Snowpark, and SQL-based transformation techniques to curate business-ready data assets.
•Support orchestration and automation using Snowflake Tasks, Snowpipe, and related platform capabilities.
•Create and maintain data models and semantic views and enable governed data access patterns for analytics, reporting, and AI-enabled insight use cases.

Pay and Benefits

Salary: USD 76,000 - 143,000 annually

Perks:Health InsuranceDentalVisionLife Insurance401kPensionPaid Leave

Key Requirements

•2+ years of analysis and technology experience.
•Proficiency in one or more programming languages such as Java, C++, Python, or JavaScript.
•Experience with software development lifecycle and building solutions for moderately sophisticated business problems.
•Ability to design, build, and support data engineering solutions for operational data stores and insight capabilities.
•Knowledge of data engineering fundamentals including data pipelines, ETL modernization, data modeling, and semantic views.

Experience:2-5 years

Education:Bachelor's in computer science, management information systems, or other related degree

Skills:Team collaborationProblem-solvingContinuous improvementLearningProactive prioritization

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Nationwide

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Columbus, United States

Founded: 1926

Glassdoor: 3.6

Website LinkedIn