Analytics Engineer

CompanyCam • Lincoln, NE

11d • $120,000 - $130,000 • Remote

About The Position

We’re looking for an Analytics Engineer to help build and maintain the data foundation that powers decision-making across CompanyCam. Reporting into our data organization, this role focuses on developing reliable data pipelines, maintaining high-quality data models, and ensuring teams across the company can confidently use data to do their best work. This role will work closely with marketing analysts to enable scalable, trusted analyses by translating analytical requirements into well-modeled datasets, standardized metrics, and performant transformations You’ll be responsible for designing and maintaining ETL pipelines, managing our Snowflake data warehouse, modeling data with dbt, and supporting event tracking and analytics tooling. This role is ideal for someone who enjoys building clean, well-documented data systems, cares deeply about data quality, and thrives at the intersection of technical problem-solving and business impact.
Location: Candidates must permanently and currently reside in the United States. Employees are not required to work in the office or relocate to Lincoln, Nebraska for this opportunity. Employees are encouraged to come hang at headquarters for up to 10 days per calendar year on CompanyCam’s dime.

Requirements

• 3+ years of experience in analytics engineering, data engineering, or a related role
• Strong experience with modern ETL tools such as Fivetran, Stitch, Portable , or similar
• Hands-on experience with Snowflake or another cloud-based data warehouse
• Proficiency using dbt for data transformation and orchestration
• Strong SQL skills and experience supporting BI tools like Metabase or similar
• Experience working with event tracking systems such as Snowplow
• Solid understanding of data warehousing concepts and best practices
• Strong problem-solving skills and attention to detail
• Ability to translate business requirements into clear, maintainable data models
• Clear written and verbal communication skills
• Ability to work independently while collaborating closely with cross-functional partners
• A proactive, growth-oriented mindset with a passion for data quality and continuous improvement

Nice To Haves

• Experience with Python or another scripting language
• Experience supporting analytics for product-led or SaaS organizations
• Experience supporting analytics for marketing teams
• Familiarity with scaling data platforms and evolving analytics maturity

Responsibilities

• Design, build, and maintain robust ETL pipelines using tools like Fivetran, Stitch, and Portable
• Manage and optimize our Snowflake data warehouse to ensure performance, reliability, and scalability
• Use dbt to transform, test, document, and schedule analytics data models
• Create and maintain analytics-ready data models that support reporting and decision-making
• Implement and maintain event tracking with Snowplow to ensure accurate and trustworthy data collection
• Partner with product, engineering, and business teams to understand data needs and deliver practical solutions
• Monitor and ensure data integrity and consistency across systems and data sources
• Identify opportunities to improve, automate, and scale existing data processes
• Stay up to date on modern analytics engineering tools, trends, and best practices

Benefits

• This is a salaried position at CompanyCam.
• Our starting salary range is $120,000-$130,000 per year and is based on experience.
• We also offer meaningful equity and other benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees