Position Details

Salary $109K – $180K USD / year

Type Full-Time

Experience mid

Exp. Years 3+ years

Education Bachelor's Degree in STEM related field or equivalent

Category Data & Analytics

About this role

This role involves developing and maintaining cloud-based data pipelines, leveraging AWS and Databricks, with a focus on ETL and big data processing.

Key Responsibilities

Build data pipelines
Manage cloud data workflows
Optimize ETL processes
Support scalable data infrastructure
Collaborate with data teams

Technical Overview

Focus on cloud data engineering, ETL workflows, PySpark, and big data tools like Databricks and AWS, with strong Python skills.

Ideal Candidate

The ideal candidate is a data engineer with over 3 years of experience, proficient in AWS, Python, and Databricks, with strong ETL skills and cloud platform expertise, supporting enterprise data projects.

Must-Have Skills

Bachelor's Degree in STEM related field or equivalentSix years of related experience3+ years in a data engineer roleHands-on ETL experience with PySparkExperience with Cloud platform services (preferably AWS)

Tools & Platforms

AWSPythonDatabricksETLCloud services

Required Skills

AWSPythonDatabricksETLCloud services

Hard Skills

AWSPythonDatabricksETLCloud services

Soft Skills

CollaborationAnalytical thinkingProblem-solvingTeamworkCommunication

Industry & Role

Industry Insurance

Job Function Cloud data engineering and pipeline development

Keywords for Your Resume

AWSPythonDatabricksETLPySparkCloud servicesData EngineerData pipelinesData engineering

Deal Breakers

Less than 3 years in a data engineer role, No experience with PySpark or AWS, Lack of ETL expertise

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Data Engineer I (AWS, Python, Databricks)

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