Data Engineer

ELT, Analytics, SQL, Snowflake, Redshift, MySQL, Postgres, Oracle, SQL Server
Full Time
Depends on Experience
Work from home not available Travel not required

Job Description

Data Engineer

As a Data Engineer, you will establish our client as the preeminent commercial insurance among small business owners by establishing a best in class data architecture, in this startup environment. Everything we do is connected, but each have different roles. That means we need you to be an analytical thinker with a strong data background. As a start-up, all hands and minds are needed.

What is needed

As a data engineer, you will work with their data architect to the client s data environment. This individual will be a key member that will work directly data architect to define the future state of their data architecture. This role will work in data architecture, data analytics, ETL development, and data reporting.

Success in this position will be establishing how data comes into and flows through the client insurance platform. This data will be used to help the organization quote customers based on data on best policy and prices for their workers compensation insurance.

Job duties
  • Work with current data architect to establish the client data platform as a best in class offering.
  • Manage various priorities and not be afraid when priorities change.
  • Work fast, but have an attention to detail so key pieces are not missed

  • Have spent at least 3 years in the data warehouse and/or data analytics space.
  • 3-5 years working in data as an engineer. Building data solutions for a company who uses data as a primary part of their business.
  • Experience in data warehouse and/or data analytics. Qualified candidates may also come from a strong database skillset involved in analytics architecture
  • Strong experience in writing complex SQL queries
  • Strong experience in ETL/ELT platforms is strongly preferred
  • Exposure to one major SQL RDBMS or analytics database. (Snowflake, Redshift, MySQL, Postgres, Oracle, SQL Server, etc.)
  • Big Data and Business Intelligence exposure would help in the success of this role.
  • Informatica, Redshift, Snowflake, data platform, insurance technology, insurtech, analytics, business intelligence, reporting, Tableu, Qlik, SQL queries, Shell Scripts, Database, Amazon, report visualization

Posted By

Lisa Anderson

7555 E Hampden Ave, Suite 301 Denver, CO, 80231

Dice Id : 10347349a
Position Id : 6109760
Originally Posted : 5 months ago
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