Junior Data Engineer

Kenect is seeking a Junior Data Engineer based onsite in Pleasant Grove, UT to build and maintain ELT pipelines, transform data for analytics, and support reliable reporting for revenue teams.

Key Responsibilities

• Build and maintain ELT pipelines that move data from Salesforce, Outreach, Nooks, and other core business systems into BigQuery, ensuring accuracy and availability for downstream teams.
• Develop and maintain dbt models that transform raw source data into clean, documented, trustworthy tables.
• Collaborate with engineers who own product systems to understand data structures and translate them into business-friendly definitions for go-to-market teams.
• Own data discovery and documentation across systems, including identifying data locations, defining field meanings, mapping relationships, and determining source authority.
• Monitor pipeline and orchestration health in Airflow, troubleshoot failures, identify root causes, and implement lasting fixes.
• Partner with go-to-market teams to understand reporting requirements, then translate those needs into dependable data models supporting Power BI and other downstream tools.
• Support the data infrastructure and evaluation pipelines behind production AI agent systems running on Modal.
• Work within Git-based development workflows using GitHub, CircleCI, and peer code review to ship reliable and well-tested changes.
• Use AI coding assistants as a standard part of the workflow to ramp up on unfamiliar systems faster while maintaining strong engineering standards.

Required Qualifications

• 1-3 years of experience in data engineering, analytics engineering, or a related role.
• A bachelor’s degree in a technical field is preferred; equivalent hands-on experience is also valued.
• Strong SQL skills, including complex joins, window functions, and the ability to write efficient queries for large datasets.
• Proficiency in Python for pipeline development and API integrations, with comfort working in Git-based version control.
• Experience with a cloud data warehouse, with BigQuery preferred.
• Familiarity with dbt and a workflow orchestrator such as Airflow is preferred.
• Ability to interpret unfamiliar data by digging into new schemas, asking the right questions of data owners, and translating findings into clear business terms.
• Exposure to CRM and go-to-market systems such as Salesforce, Outreach, or similar platforms is preferred.
• Documentation discipline: if something is built, it must be documented clearly for others to understand, maintain, and extend.
• A figure-it-out mindset, including comfort with ambiguity, practical problem scoping, and building with performance and scalability in mind as the business grows.

Technology Stack

• BigQuery, Salesforce, Outreach, Nooks
• dbt, Airflow, Power BI
• Modal, Python, SQL
• GitHub, CircleCI

Benefits

• Health, Dental, Vision, Life & Disability Insurance
• Your birthday is a paid day off
• Onsite gym
• Breakroom full of snacks and drinks
• Convenient location next to freeway entrance/exit

Company Values

• Unwavering Customer Obsession
• See it, Solve it, Get it Done
• Build, Adapt, Win