Senior Data Engineer automating data processes for client projects in a marketing analytics agency. Collaborating with diverse teams to enhance data measurement and performance.
Responsibilities
Automate reporting pipelines with speed, accuracy, and scalability
Demonstrate best practices in data engineering and account for considerations specific to media and site data in every step of the automation process
Write and optimize SQL views, Python/R scripts, and API connectors as needed
Continually optimize data cleaning and anomaly detection processes
Help manage and advance GCP infrastructure, particularly with BigQuery and GCP integrations
Enforce naming conventions, dataset groupings, versioning, and access standards
Maintain rigorous QA practices to ensure clean, reliable, and consistent data
Continuously seek opportunities to improve processes and infrastructure
Proactively catch and investigate issues, finding root causes and going beyond surface solutions
Work with analysts to anticipate needs and ensure data is easy to find and use
Demonstrate situational awareness, knowing when to escalate, push or pull back, or execute
Communicate effectively with less technical stakeholders to address challenges and keep them updated on progress
Help shape the roadmap for our data architecture and processes
Identify opportunities to simplify, improve, and standardize workflows
Occasionally support client conversations with technical expertise
Requirements
4+ years of experience in data engineering, devops, data science or similar
Experience in marketing/advertising agency preferred
Fluency in SQL and Python
Experience in R, C/C++, C#, Java, Go, or Rust preferred
Deep experience with GCP/GBQ or similar cloud platforms and data warehouses
Knowledge of ad tech and understanding of core media and site platforms (CM360, TTD, Google Ads, GA4, Adobe Analytics)
Experience with dashboard tools such as Tableau, Looker, PowerBI preferred
Strong ability to work independently and problem solve
Adaptable to rapidly changing needs, situations, and priorities
Results-driven, adaptable and resourceful
Experience in ownership of data quality and availability within projects
History of balancing speed and accuracy in client-driven environments.
Benefits
Competitive Rates
Flexible work to promote work-life integration
Remote-first or hybrid flexibility
Asynchronous work
Supportive Operations Team
40 hours a week
Opportunity to collaborate with top industry talent!
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