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Looker / Data Engineer

3 months ago

Norfolk, United States Life Protect 247 Full time

Overview

Life Protect 24/7 is one of North America's leading medical alert companies. We unite a group of over 500 hardworking professionals that are consistently working to find better solutions for our customers and clients in the medical alert and insurance industries. We utilize modern web technologies to keep our company on the cutting edge of these industries and we're looking for smart, dedicated people to help us continue to grow.

Job Description

Data Engineer will be responsible for working closely with software engineers, database administrators, and key business personnel to create a large variety of reports using Looker and Google BigQuery (Standard SQL).

Benefits and Compensation

  • Competitive starting salary
  • 401K with Company Match
  • Paid Time Off
  • Medical, Dental, Vision, AD&D, and Life Insurance
  • HSA Options
  • Fully stocked kitchen with snacks and coffee
  • On site company Cafe Bistro
  • Convenient access to walking trails and Norfolk Premium Outlets

Responsibilities

  • Rapidly deliver on concepts through prototypes that can be presented for feedback          
  • Work closely with engineers and business users to troubleshoot and resolve data quality issues and maintain high level of data accuracy
  • Assist with the selection, implementation, and integration of new data tools
  • Promote a data-driven culture in the company
  • Think about how you can make end users more productive through self-serve capabilities

Basic Qualifications

  • Looker experience
  • 2+ years of relevant experience in analytics/data engineering
  • Proven experience in taking the requirements and developing business dashboard
  • Proficient with SQL
  • Ability to solve ambiguous problems independently, write clear, and concise documentation
  • Strong communication skills and ability to gather requirements and translate them to specs and design

Preferred Qualifications

  • Proficiency with Git
  • Knowledge of data warehouse principles and methodologies
  • Experience in data science, advanced analytics, machine learning 
  • Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats
  • Experience GCP cloud services and data warehouse stores like BigQuery
  • Self-driven, highly motivated and able to learn quickly