Data Engineer (Analytics)

Rocket 55 LLC•Minneapolis, MN

16h•Hybrid

About The Position

At Rocket55, we live at the intersection of data-driven strategy and bold creative execution. As a Data Engineer on our Analytics team, you won’t just be "managing data" — you’ll be building the sophisticated infrastructure that powers our clients' competitive advantage. This role is responsible for designing, building and maintaining scalable marketing data infrastructure that powers reporting, attribution, analytics and strategic decision-making across client accounts. The ideal candidate combines deep technical expertise in data engineering and tracking implementation with a strong understanding of digital marketing platforms and performance analytics. You will work cross-functionally with marketing strategists, analysts, developers and client teams to ensure accurate data collection, seamless integrations and actionable insights that drive campaign performance and business growth.

Requirements

Bachelor’s degree in Data Science, Statistics, Marketing, Business, Computer Science or a related field.
3+ years of experience in data analytics, marketing analytics or business intelligence, preferably within a digital marketing agency environment.
Advanced knowledge of Google Analytics (GA4) and data visualization platforms such as Data Studio, Tableau or Power BI.
Hands-on experience implementing and managing advanced website and marketing tracking through Google Tag Manager (GTM), including ecommerce, custom event tracking and cross-platform integrations.
Experience configuring and managing server-side GTM environments using platforms such as Stape, Freshpaint or Cloudflare Zaraz.
Strong SQL and Python skills, including writing complex queries, automating workflows and working with APIs for data extraction and transformation.
Experience working with Google Cloud Platform (GCP), particularly BigQuery, is strongly preferred.
Familiarity with marketing and advertising APIs, including Meta Conversions API and Google Ads API, for secure first-party data integrations.
Experience integrating marketing and CRM data to support closed-loop attribution and performance measurement across platforms such as HubSpot or Salesforce.
Strong analytical and problem-solving skills with the ability to synthesize large datasets into meaningful business insights.
Understanding of digital marketing channels and performance metrics, including SEO, paid media, social media and conversion optimization.
Excellent written and verbal communication skills with the ability to present technical concepts and data insights to both technical and non-technical audiences.
Strong attention to detail, organizational skills and commitment to data quality.
Ability to manage multiple projects simultaneously and collaborate effectively within a team environment.

Responsibilities

Collect, clean and analyze data from digital marketing platforms, including Google Analytics (GA4), social media channels, advertising networks and CRM systems.
Build, maintain and optimize dashboards and reporting environments that track campaign performance, KPIs and business outcomes.
Implement and manage event and conversion tracking through Google Tag Manager (GTM) across websites and advertising platforms, including GA4, Google Ads, Meta, LinkedIn and other marketing channels.
Lead the implementation and migration of server-side tracking solutions, including Server-Side Google Tag Manager (sGTM) and direct API integrations such as Meta Conversions API (CAPI), to improve data accuracy, attribution and privacy compliance.
Translate complex datasets into actionable insights, identifying trends, opportunities and performance drivers that inform marketing strategy.
Partner with cross-functional agency teams to develop reporting visualizations and analytics solutions that clearly communicate campaign impact and client value.
Conduct regular audits and quality assurance checks to ensure data accuracy, consistency and integrity across platforms.
Present findings and recommendations clearly to internal stakeholders and clients through reports, dashboards and presentations.
Stay current on evolving analytics technologies, digital marketing trends and privacy regulations.
Design and maintain scalable ETL/ELT pipelines using tools such as dbt, Fivetran, and Python to centralize marketing and business data in BigQuery.
Support advanced attribution and measurement initiatives, including AI-assisted modeling, predictive analytics and machine learning integrations within reporting environments.