Data Engineer (In-Office Position) - Draper, UT

ProdataKey

11d•Onsite

About The Position

As PDK continues to grow, the amount of data generated across our systems, products, and operations is increasing rapidly. Turning that data into reliable insights requires a modern, scalable data platform. We are looking for an experienced Data Engineer to help design and build the systems that power analytics across the company. In this role, you will transform raw operational data into well-structured datasets that enable reporting, product insights, and better decision-making. You’ll work closely with our engineering and analytics teams to build robust pipelines, define warehouse models, and ensure our data platform is reliable, scalable, and built for the future. If you enjoy solving data infrastructure problems and building systems that enable an entire organization to move faster with data, this role is for you. As a Data Engineer at PDK, you will help design and maintain the core systems that move, transform, and organize data across the company. This includes: Designing, building, and maintaining scalable data pipelines that ingest unstructured event data from internal product and engineering databases into our Snowflake data warehouse Designing data models and schemas that support analytics and reporting Developing ETL/ELT workflows using Python, Airflow, and Fivetran Ensuring data pipelines are reliable, observable, and well-tested Maintaining and optimizing our Snowflake data warehouse Integrating new data sources across product, operations, and business systems Improving data quality, documentation, and governance across the platform Your work will directly support teams across the company by ensuring the data they rely on is accurate, accessible, and scalable. Our data platform uses a modern cloud data stack, including: Snowflake for our data warehouse Google Cloud Platform (GCP) for storage and data services Airflow for pipeline orchestration Fivetran for data ingestion dbt for transformations and modeling Python and SQL for pipeline and transformation logic GitHub for version control and collaboration You will play an important role in evolving this platform and improving how we build and operate data systems. You do not need experience with every tool listed here to apply. If you have strong fundamentals in data engineering and cloud platforms, we encourage you to apply. If you're looking for a career with a growing company where you are part of a team dedicated to making a difference, you'll enjoy your career with us! We are often looking for dedicated and passionate individuals to help take over the world. If you feel like you are up to the task then let's chat! See what we do http://www.prodatakey.com/

Requirements

3–5 years of experience in a Data Engineer, Software Engineer, or similar role
Bachelor’s degree or equivalent in the field of Computer Science, Statistics, Information Technology, or related field
Strong experience with SQL, Javascript/Typescript and Python
Experience analyzing, managing, and organizing unstructured data from a variety of platforms
Experience working with and managing modern cloud data warehouses such as Snowflake
Experience building pipelines using Airflow or similar orchestration tools
Experience working with cloud platforms such as GCP, AWS, or Azure
Strong understanding of data modeling and ETL/ELT practices
Experience integrating data from systems such as relational databases, APIs, or event streams
A focus on data reliability, testing, and maintainability
Strong communication skills and ability to collaborate across teams

Nice To Haves

Experience in a first Data Engineer / greenfield data infrastructure role, comfortable making architectural decisions without established precedent
Familiarity with access control, physical security, or IoT/device event data, understanding of time-series event data and device telemetry is a plus
Experience using dbt for data transformation and modeling
Familiarity with event-driven or message-based systems (RabbitMQ, Pub/Sub, Kafka, etc.)
Experience working with BI tools such as Tableau or Power BI

Responsibilities

Designing, building, and maintaining scalable data pipelines that ingest unstructured event data from internal product and engineering databases into our Snowflake data warehouse
Designing data models and schemas that support analytics and reporting
Developing ETL/ELT workflows using Python, Airflow, and Fivetran
Ensuring data pipelines are reliable, observable, and well-tested
Maintaining and optimizing our Snowflake data warehouse
Integrating new data sources across product, operations, and business systems
Improving data quality, documentation, and governance across the platform