Data Engineer

Contentful•Denver, CO

13d

About The Position

We are seeking a Data Engineer to help design, build, and scale modern data solutions that power analytics, operational reporting, and business decision-making across the company. You will work closely with our data, analytics, and business teams to develop high-quality data pipelines, models, and integrations that deliver clean, reliable, and actionable data. You will join a small, cross-geography engineering team operating with a product mindset - delivering iterative value, partnering closely with business and analytics stakeholders, and owning both build and run responsibilities of a mission-critical platform.

Requirements

3–6+ years of experience in Data Engineering or a similar technical role.
Strong SQL skills and experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
Experience building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks.
Proficiency in Python or another scripting language.
Strong understanding of data modeling, data structures, and modern data architecture patterns.
Experience with CI/CD workflows, version control (Git), and Infrastructure-as-Code tools (Terraform a plus).
Familiarity with data governance, quality, lineage, and cataloging concepts and tools.
Demonstrated ability to collaborate with analysts, engineers, and business partners in a cross-functional environment.
Excellent communication skills and a product-focused mindset.

Nice To Haves

Experience with monitoring/observability tools (e.g., Monte Carlo, Datadog).
Experience with BI tools such as Tableau or Looker.
Background in distributed systems, APIs, or event-based architectures.
Exposure to data security, compliance, or privacy frameworks.
Experience utilizing AI for development.

Responsibilities

Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources.
Develop high-quality data models that support analytics, reporting, and operational use cases.
Partner with analytics, product, and business stakeholders to understand data needs and translate them into technical solutions.
Implement strong data quality, validation, and monitoring processes to ensure reliability and trust in the data.
Optimize data storage, processing, and performance within cloud data warehousing environments.
Contribute to the development and evolution of our modern data platform, including tooling, standards, and best practices.
Support data platform operations—troubleshooting issues, improving reliability, and ensuring SLAs are met.
Collaborate with cross-functional partners on governance, documentation, definitions, and data stewardship.
Implement CI/CD practices and Infrastructure-as-Code (IaC) to automate deployment, testing, and environment management.
Participate in code reviews, design discussions, and operational on-call rotations as needed.

Benefits

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.