Data Analytics Engineer

Full-time - Mid Level

Hybrid - New York, NY

Professional, Scientific, and Technical Services

About the position

As a catalyst for innovative digital marketing ideas, what excites us at TRKKN is using a data-driven approach to take our clients' business to the next level. Working for TRKKN means that you'll be part of an inspiring, energetic, and international team in a fast-growing tech environment. We offer the ideal workplace for anyone who wants to grow, learn, and has a strong desire for solving complex business challenges. Being on the bleeding edge of marketing technology and innovation means you will have an unparalleled opportunity for learning, along with personal and professional growth: there's never a dull moment here.

Responsibilities

• Focus on building, transforming, and helping to grow the strategic database architecture for large scale ETL products and services.
• Leverage expertise in SQL, database architecture, and marketing knowledge to develop and deploy scalable solutions within the cloud.
• Contribute directly to company growth goals by managing and executing robust and complex database engineering projects.
• Act as Analytics Engineer (SME) in the delivery and development of database creation, transformation, and strategic oversight.
• Deploy data products from existing proprietary codebase and work within multiple environments to stand-up new data driven features within databases like BigQuery.
• Design tech infrastructure and data pipelines (ETL, data automation, data querying, etc.) when necessary.

Requirements

• 3-5 years of experience, preferably in Data Engineering, Analytics Engineering, or Data Science.
• Strong analytical mindset with expert knowledge of SQL and BigQuery, as well as BI tools such as DataStudio and Looker (LookML).
• Expertise with Google Cloud Platform's distributed Data Science and Data Engineering tools (e.g. BigQuery, DBT, Docker, Kubernetes).
• Experience with Git, GitLab, CI/CD pipelines on Gitlab.
• Experience working on a data science or engineering team, participating in scrums, sprints, and retrospectives.
• Ability to clearly explain complex ideas to non-expert audiences.
• Familiarity with media and media measurement is a plus.
• Bachelor's degree in a quantitative field (advanced degree is preferred).

Benefits

• Health insurance
• Vision insurance
• Dental insurance
• 401(k)
• Healthcare Flexible Spending Account
• Dependent Care Flexible Spending Account
• Vacation days
• Sick days
• Personal days
• Paid parental leave
• Paid medical leave
• STD/LTD insurance benefits