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Data Engineer - Go-to-Market

Halter is a company focused on developing data infrastructure and analytics solutions for Go-To-Market teams, expanding into international markets.
Auckland, New Zealand
Data
Mid-Level Software Engineer
In-Person
Enterprise SaaS

Job Description

Halter is seeking a world-class Data Engineer to join their team, focusing on building modern data infrastructure to support Go-To-Market (GTM) teams. This role is crucial for Halter's international expansion, working at the intersection of data engineering and business operations. The position involves close collaboration with Revenue Operations Analysts and various stakeholders to design, build, and maintain GTM data sets.

The ideal candidate will be product-minded and user-driven, working closely with internal stakeholders to integrate data from multiple sources including sales, marketing, customer support, and finance. Technical expertise is essential, particularly in SQL, data modeling, and AWS services. The role requires someone comfortable in a dynamic environment who can work under pressure and meet tight deadlines.

The position offers an opportunity to work in an office-first culture that values in-person connections and collaboration. Halter maintains a high-trust environment where team members work together to solve problems and drive innovation. The company emphasizes personal growth, learning, and impact, fostered through daily interactions with talented colleagues.

The role combines technical challenges with business impact, requiring expertise in data infrastructure, ETL processes, and modern data stack technologies. You'll be instrumental in building the foundations of Halter's GTM data stack and contributing to the strategic direction of analytics at the company. This is an excellent opportunity for a data engineer who wants to make a significant impact in a growing company while working with cutting-edge technologies and methodologies.

Last updated 2 months ago

Responsibilities For Data Engineer - Go-to-Market

  • Build and maintain data pipelines and ETL processes
  • Work with GTM teams to implement new data systems
  • Maintain high levels of communication about product requirements, timelines, risks, and priorities
  • Participate in on-call roster ensuring system availability
  • Stay up-to-date with technological advances
  • Help with various tasks required for company success

Requirements For Data Engineer - Go-to-Market

Go
Java
Kotlin
TypeScript
Python
PostgreSQL
  • Deep knowledge of SQL and data modelling with dbt
  • Expertise in designing, building, and maintaining reliable and cost-effective analytical data systems
  • Expertise in AWS (S3, Athena, Firehose, Kinesis, RDS for PostgreSQL, Lambda)
  • Experience preparing datasets for analysts (Tableau)
  • Comfortable working with macOS-based development environment and Linux hosts
  • Experience in backend software development

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