Analytics Engineer

Contentful•Denver, CO

About The Position

We’re looking for an experienced Analytics Engineer to help build the next generation of Contentful’s analytics foundation, powering Insight 360, our unified Snowflake-based data platform. In this role, you’ll design and maintain robust, scalable data models that make our business data accessible and actionable across all teams. You’ll collaborate with engineers, analysts, and business stakeholders to deliver high-quality, trusted datasets that enable data-driven decision-making across the company. Your work will sit at the heart of Contentful’s data evolution, helping us move to a modern, governed, and insight-led architecture.

Requirements

Experience: 3+ years in analytics engineering, data engineering, or BI development in a modern data stack environment.
Data Modeling: Proven expertise with SQL to build modular and well-documented data models in dbt. Understanding of various data modeling techniques.
Warehouse Experience: Deep knowledge of Snowflake (warehouses, roles, virtual warehouses, performance tuning).
Collaboration: Strong ability to work cross-functionally with analysts, engineers, and business stakeholders to translate needs into technical solutions.
Data Ops: Experience applying version control, testing, and observability practices in dbt or similar frameworks.

Nice To Haves

Visualization: Experience structuring data for BI tools such as Tableau, focusing on scalability and performance.
Ingestion & Orchestration: Familiarity with Airflow, or similar tools for data ingestion and orchestration.
Reverse ETL: Working knowledge of tools like Hightouch for operationalizing insights back into business systems (e.g., Salesforce, Gainsight).
Governance: Understanding of data cataloging, lineage, and documentation using tools like Atlan

Responsibilities

Data Modeling & Transformation
Design, build, and maintain efficient, scalable analytics models in dbt and Snowflake.
Transform raw data from diverse domains (product, finance, sales, marketing, operations) into analytics-ready structures.
Apply best practices in modularity, documentation, and testing to ensure long-term reliability.
Pipeline Ownership
Take ownership of analytics engineering projects end-to-end: from scoping requirements through implementation and monitoring.
Develop reusable, maintainable data transformations that enable self-serve analytics in Tableau and other BI tools.
Enablement & Collaboration
Partner with analysts, data scientists, and business teams to define and deliver trusted data assets.
Collaborate with data platform engineers to optimize performance, governance, and cost efficiency in Snowflake.
Contribute to the shared data catalog and drive adoption of best practices across analytics and engineering teams.

Benefits

Join an ambitious tech company reshaping the way people build digital experiences
Full-time employees receive Stock Options for the opportunity to share in the success of our company
Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents.
Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss, education days, and volunteer days
Company paid parental leave to care for and focus on your growing family
Use your personal annual education budget to improve your skills and grow in your career
Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties
An annual wellbeing stipend to care for your physical, financial, or emotional health
A monthly communication stipend and phone hardware upgrade reimbursement.
New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.