Data Engineer

adQuadrant helps DTC (direct-to-consumer) brands dream bigger. We are a trusted advisor that provides holistic, strategic omni-channel digital marketing solutions by partnering with our clients to solve the biggest challenges in terms of customer acquisition and growth. Our efforts produce tangible results backed by measurable data. We have the strategic capabilities, quantitative chops, deep creative understanding, and world-class talent with the best tools to drive revenue and profits. We are not simply a vendor checking boxes — our seasoned team serves as an extension of the companies we work with, leading strategy and execution. Our goal is to be the go-to marketing consultants for solving the biggest challenges.

adQuadrant is looking for a Data Engineer to support a growing team. This role is responsible for developing, testing, and maintaining data pipelines and data architectures. You will be building and optimizing our data pipeline architecture, as well as optimizing data flows and collections for cross functional teams. The ideal candidate will enjoy optimizing data systems and building them from the ground up, you must be ready for a challenge. This role will ensure optimal data delivery architecture is consistent throughout current and ongoing projects. You must be a self-starter and enjoy supporting multiple cross-functional teams.

The Ideal Candidate must have:

• Experience in Snowflake, architecting and building a data warehouse from scratch
• Data pipeline (ETL tools) development and deployment experience
• Extensive experience deploying and maintaining a Tableau Server

Requirements

Your Responsibilities:

• Consulting with the data team to get a strong understanding of the organization’s data storage needs
• Designing and constructing the data warehousing system to the organization’s specifications
• Defining and implementing scalable data pipelines that ingest data from various external sources, storing it in the database system, and making it useful to our data analysts
• Implementing processes to monitor data quality, ensuring production data is always accurate and available for data analysts and business processes that rely on it
• Recognize, troubleshoot, and resolve unexpected performance and process fail issues, on an ongoing basis

Qualifications:

• Bachelor’s degree in computer science, information technology, or a related field
• 5+ years experience in data warehousing, data modeling and building data pipelines
• Extensive knowledge of SQL, and coding languages, such as Python
• Proficiency in warehousing architecture techniques, including MOLAP, ROLAP, ODS, DM, and EDW
• Proven work experience as an ETL developer
• Experience working with online marketing data
• Strong project management skills and experience with Agile engineering practices
• Ability to analyze a company’s big-picture data needs
• Clear communication skills
• Strategic thought and extreme attention to detail
• Ability to troubleshoot and solve complex technical problems
• Comfortable supporting distributed remote individuals

Benefits

Our people come first. No jerks. No egos. Just people who like to work hard and enjoy winning as a team.

• Annual Compensation: $95,000 - $120,000 per year

• Excellent Health Benefits (health, dental, vision, and life insurance)
• 401K + company match
• Unlimited Vacation Policy
• Paid Sick Leave
• 2 Mindfulness Days Annually
• 2PM Fridays each week
• $300/ year to equip your work space with new equipment
• $30/ month for home internet
• An extremely supportive and fun company culture

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.