Position Details

Salary $126K – $208K USD / year

Type Full-Time

Experience mid

Exp. Years 8 years

Education Not specified

Category Data & Analytics

About this role

This role involves managing and optimizing cloud-based data warehouses and databases, supporting enterprise data analytics within a hybrid environment.

Key Responsibilities

Manage cloud data warehouses
Optimize data platform performance
Ensure data security
Support enterprise analytics
Maintain MongoDB databases

Technical Overview

The technical environment includes AWS, Snowflake, and MongoDB, focusing on data pipeline management, data warehousing, and database administration.

Ideal Candidate

The ideal candidate is a mid-level data engineer with at least 8 years of experience, proficient in AWS, Snowflake, and MongoDB, with strong analytical and problem-solving skills.

Must-Have Skills

8 years of experienceAWSSnowflakeMongoDB

Nice-to-Have Skills

MongoDB databases

Tools & Platforms

AWSAmazon Web ServicesSnowflakeMongoDB

Required Skills

AWSAmazon Web ServicesSnowflakeMongoDBMongoDB databases

Hard Skills

AWSAmazon Web ServicesSnowflakeMongoDBMongoDB databases

Soft Skills

analytical thinkingproblem-solvingcollaborationcommunicationteamwork

Industry & Role

Industry Insurance

Job Function Data engineering and database management for cloud data platforms

Keywords for Your Resume

Data EngineerAWSAmazon Web ServicesSnowflakeMongoDBMongoDB databasesData pipelinesData solutionsData analysisData management

Deal Breakers

Less than 8 years of experience, No experience with AWS, Snowflake, or MongoDB, Lack of data pipeline expertise

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Data Engineer II (AWS, Snowflake, MongoDB)

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