About goHUNT

goHUNT is a rapidly growing company that puts the best technology and gear into the hands of hunters and anyone who loves the outdoors. We've taken over the Western big game hunting industry by giving ethical, fair-chase hunters better tools to pursue their passion. We take pride in staying mission focused while still enjoying ourselves and offering a world-class customer experience. If you’re someone with grit and integrity, we’d love to have you on our team.

Vision & Mission

We support conservation through hunting.

Hunters secure more tags and have more success because we put the best technology and gear into their hands. Our tech cuts through hunting’s complexities to uncover opportunities that most folks don’t even know exist, and we provide the expertise and gear needed to get it done in the field. That means more money for conservation and more support for wildlife management, preserving public lands for generations to come.

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Role Overview

We are looking for a savvy Lead Data Engineer to join our growing team of experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will work closely with our software developers, GIS architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. The position is full-time and is based in our Las Vegas office reporting directly to the Chief Technology Officer. 

Position Responsibilities:

• Create and maintain optimal data pipeline architecture.

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS Data technologies.

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

• Work with stakeholders including the Executive, Product, GIS and Design teams to assist with data-related technical issues and support their data infrastructure needs.

• Create data tools for analytics and data science projects for building and optimizing our product into an innovative industry leader.

• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

• Experience building and optimizing data pipelines, architectures and data sets.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Build processes supporting data transformation, data structures, metadata, dependency and workload management.

• A successful history of manipulating, processing and extracting value from large disconnected datasets.

• Working knowledge of message queuing, stream processing, and highly scalable structured/relational data stores.

• Strong project management and organizational skills.

• Experience supporting and working with cross-functional teams in a dynamic environment.

• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with relational SQL and NoSQL databases, including MySQL Postgres and Dynamodb.

• Experience with AWS data pipeline and workflow management tools.

• Experience with AWS cloud services: EC2, EMR, RDS,

• Experience with stream-processing systems: Storm, Spark-Streaming, etc.

• Experience with object-oriented/object function scripting languages: Python and Java.

• Experience with big data tools: Hadoop/Spark, Kafka, etc.
   

Please submit resume or CV to Careers@goHUNT.com