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As a Senior Data Engineer, you will be pivotal in designing, building, and optimizing our data infrastructure. You’ll work closely with cross-functional teams to ensure seamless data flow and integration across various MarTech and AdTech platforms powering Polaris, Wpromote’s proprietary tech platform. Have a seat at the table from day one, with the ability to influence strategy and the technical roadmap, and join an organization with opportunities for professional advancement and development. Most importantly, you will have the challenge of building with cutting-edge technologies and innovative projects.
Job Responsibility:
Developing data pipelines leveraging a variety of technologies including dbt and BigQuery
Gathering requirements from non-technical stakeholders and building effective solutions
Identifying areas of innovation that align with existing company and team objectives
Managing multiple pipelines across Wpromote’s client portfolio
Requirements:
Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
4+ years of experience in data engineering or a related field
Intermediate to advanced programming skills in Python
Proficiency in SQL and experience with relational databases
Strong knowledge of database and data warehousing design and management
Strong experience with DBT (data build tool) and test-driven development practices
Proficiency with at least 1 cloud database (e.g. BigQuery, Snowflake, Redshift, etc.)
Excellent problem-solving skills, project management habits, and attention to detail
Advanced level Excel and Google Sheets experience
Familiarity with data orchestration tools (e.g. Airflow, Dagster, AWS Glue, Azure data factory, etc.)
Strong business and marketing acumen including common marketing goals, KPIs, and tactics
Excellent communication skills (verbal and written) to present effectively and to explain algorithms and insights to major non-technical stakeholders
Nice to have:
Experience leading and managing other Data Engineers
Intermediate to advanced programming skills in Python
Experience creating API calls to gather and store large datasets (batch or streaming)
Familiarity with CRM data
Familiarity with the command line interface
Experience with data visualization and storytelling practices
Ability to generate insights from data in the form of refined tabular and graphical reports, metrics, and ad-hoc analysis
Familiarity with version control systems (e.g. GitHub, Bitbucket, GitLab)
Experience within an Advertising Agency or similar client environment
Working experience with digital media platforms (e.g. Facebook, Google Ads, The Trade Desk, etc.)
Experience and/or certification in web analytics platforms (e.g. Google Analytics, Adobe Analytics, etc.)
What we offer:
Half-day Fridays year round
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance
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