Data Engineer

Role Overview

• Partner with a wide range of business teams to implement analytical and data solutions
• Responsible for collecting, storing, processing, analyzing, and modeling large sets of data
• Build applications and solutions using data
• Maintain and monitor analytics data warehouses and data platform
• Design, implement, test, deploy and maintain stable, secure, and scalable data engineering solutions
• Produce scalable, replicable code and engineering solutions to automate repetitive data management tasks
• Collaborate with project managers, business analysts, data scientists, and other groups to understand and translate functional requirements into technical specifications
• Keep a critical eye on technical strategy, identify gaps, and come up with creative solutions

Requirements

• Bachelor’s degree in computer and information science required
• Master’s degree preferred
• Snowflake and Python certification preferred but not required
• Excellent listening, interpersonal, communication (written & verbal) skills
• Ability to collect and compile relevant data
• Extremely organized with great attention to detail
• Excellent ability to analyze information and think systematically
• Strong business analysis skills
• A strong team player with some ability to work independently
• Good understanding of the company’s business processes and the industry at large
• Good working SQL knowledge and experience working with relational databases
• Experience building and optimizing data pipelines and data sets
• Ability to perform root cause analysis on internal and external data processes
• Good analytic skills related to working with unstructured datasets
• Ability to build and use APIs to push and pull data from various data systems
• A successful history of manipulating, processing and extracting value from large, disconnected datasets
• Ability to build data models and manage data warehouses
• 3 years of related data engineering/IT experience
• 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python and AWS architecture
• 1+ years of proven experience in Microsoft .Net technologies such as C#, VB.Net
• 2+ years of experience in data modeling/database development using PL/SQL and SQL Server 2016 or later and Snowflake
• 1+ years of proven experience building data pipelines and ETL flows in Cloud and on-premise environments

Tech Stack

• Apache
• AWS
• Cloud
• ETL
• Hadoop
• Java
• Python
• Scala
• Spark
• SQL

Benefits

• Medical
• Dental
• Vision
• Flexible spending accounts
• Life and accident coverage
• Disability
• Paid time off
• Parental leave
• Holidays
• Wish day paid time to volunteer at an approved organization of your choice
• 401k with employer match
• Legal and identify theft plan
• Voluntary income protection benefits
• Wellness program
• Employee Assistance Program