Senior Data Engineer (Contractor)

Northern

21h•Hybrid

About The Position

Northern is seeking a Senior Data Engineer (Contractor) to work on client projects finding, extracting, loading, and transforming data foundational to analysis and marketing decisions. The selected contractor will be responsible for collaborating with other key team members to provide an end-to-end view of measurement and performance for clients. While this is a contractor role, you’ll have the opportunity to collaborate with a talented, supportive team, work on diverse projects, and make a tangible impact. We value flexibility, autonomy, and innovation, and we strive to create an environment where contractors can thrive while delivering exceptional results. Note: This request is for a 3-6 month contract, with the possibility of extension

Requirements

4+ years of experience in data engineering, devops, data science or similar
Fluency in SQL and Python
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)
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

Nice To Haves

Experience in marketing/advertising agency preferred
Experience in R, C/C++, C#, JAva, Go, or Rust preferred
Experience with dashboard tools such as Tableau, Looker, PowerBI preferred

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