Senior Data Engineer

The Role
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.
At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.
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-Annual Class Pass Credits and more! The anticipated annual salary for this role will range from $102,000 - $125,000, based on a variety of factors unique to each candidate, including skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and the respective state’s salary threshold for exempt employees. At Wpromote, pay ranges are subject to change and are based on specific market medians for similar jobs according to third-party salary benchmark surveys. Individual pay within that range can vary due to skills, experience, and available budget.  The total compensation package for this role will include benefits (listed above).
*This position may be performed remotely in most states within the US, with some exclusions**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!***This position is not eligible for immigration sponsorship
Important Notice: Beware of Job ScamsWpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.
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You Will Be

• 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

You Must Have

• 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