Position Details

Salary $135K – $202K USD / year

Type Full-Time

Experience senior

Exp. Years 8+ years

Education Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.

Category Data & Analytics

About this role

Senior Data Engineer role within Enterprise Data Services focusing on building and scaling data assets on Snowflake and AWS, delivering curated data products for insights and ML use cases.

Key Responsibilities

Design, develop, and optimize scalable data pipelines
Lead delivery of analytics-ready data products
Ensure data integrity and platform reliability
Partner on metadata management and data privacy
Explore AI-assisted engineering tools

Technical Overview

Hands-on data engineering with Snowflake and AWS, Python/PySpark pipelines, ELT/ETL design, data governance, and DevOps practices (GitHub, Jenkins, Nexus, uDeploy).

Ideal Candidate

The ideal candidate is a senior data engineer with 8+ years of hands-on data engineering experience, deep expertise with Snowflake and AWS, and a proven ability to design scalable batch and near-realtime data pipelines. Strong Python and PySpark skills, plus a solid foundation in data governance and data product delivery, are essential.

Must-Have Skills

PythonPySparkSparkSnowflakeAWSAmazon Web ServicesSQLETLELTXMLJSONParquetGitHubJenkinsNexusuDeployCI/CDData GovernanceData ModelingData ProfilingData Lineage

Nice-to-Have Skills

AWS Data & Analytics CertificationsSnowflake CertificationAI CertificationAI-assisted development tools

Tools & Platforms

SnowflakeAmazon Web ServicesGitHubJenkinsNexusuDeploy

Required Skills

PythonPySparkSparkSnowflakeAWSAmazon Web ServicesSQLETLELTXMLJSONParquetGitHubJenkinsNexusuDeployCI/CDData GovernanceData ModelingData ProfilingData LineageAI-assisted engineering toolsmachine learning

Hard Skills

Soft Skills

problem-solvingcommunicationcollaborationproactiveteamworkattention to detail

Certifications

Preferred

AWS Data & Analytics CertificationsSnowflake CertificationAI Certification

Industry & Role

Industry Insurance

Job Function Develop and operate large-scale data pipelines and data products

Role Subtype Senior Data Engineer

Tech Domains Python, PySpark, SQL / PostgreSQL, Snowflake, Amazon Web Services, GitHub, Jenkins, Nexus, uDeploy, ETL

Clearance & Visa

Visa Sponsorship No

Keywords for Your Resume

Sr Staff Data EngineerData EngineerSnowflakeAWSAmazon Web ServicesPythonPySparkSparkSQLETLELTXMLJSONParquetGitHubJenkinsNexusuDeployCI/CDData GovernanceData ModelingData Lineagemachine learningAI-assisted engineering tools

Deal Breakers

8+ years of data engineering experience, Strong Snowflake and AWS expertise, Must be authorized to work in the US without sponsorship

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