Data Engineer at OneLocal

At OneLocal, we specialize in providing AI-driven digital marketing solutions designed specifically to help small and medium-sized businesses thrive. Our cloud-based platform offers a comprehensive suite of tools, ranging from SEO and website management to advertising and social media, all aimed at simplifying operations and enhancing customer communication. By utilizing both structured and unstructured data, we power our proprietary AI to automate interactions and streamline information workflows. We are currently seeking a Data Engineer to join our remote team and help us integrate cutting-edge AI technology into our ecosystem. We value a dynamic, diverse, and inclusive culture where every team member is encouraged to be their authentic self.

Key outcomes

• Automate manual workflows by leveraging Python and SQL.
• Develop robust solutions for extracting and manipulating data to support business intelligence and decision-making.
• Design and implement data extraction strategies based on thorough documentation analysis.
• Utilize APIs to facilitate the seamless transfer of data.
• Collaborate with analysts to explain data extraction complexities and ensure alignment with project requirements.
• Maintain expertise in the latest industry trends and analytical methodologies.
• Contribute to the design of data infrastructure and tagging strategies.
• Lead digital data analysis using Google Analytics to monitor the performance of mobile applications and websites.
• Build interactive, meaningful data visualizations and dashboards that provide actionable insights to our clients.
• Perform customer journey analysis to identify and implement areas for improvement.
• Manage tag implementation and execute A/B testing to optimize performance.

Requirements

• Two to four years of professional experience in digital marketing analytics.
• Two to four years of practical experience with Python, SQL, and API integration.
• Two to four years of experience designing and managing ETL solutions.
• A Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Mathematics, or Statistics.
• Proficiency with data visualization tools like Tableau.
• Hands-on experience with Google Analytics and tag management platforms like GTM.
• Technical familiarity with Google BigQuery and database components, including schemas, stored procedures, and DDL/DDL commands.
• Working knowledge of Salesforce.
• Full professional proficiency in English, with the ability to communicate ideas clearly in an asynchronous, remote environment.
• A proactive mindset with the ability to research, propose solutions, and execute tasks in an evolving landscape.

Compensation

We offer a remote-first work environment that provides significant flexibility. Our benefits package includes paid vacation time, paid personal days, and regular virtual social events, such as coffee chats and team happy hours. You will have the opportunity to make a tangible impact at a growing company dedicated to supporting the success of small and medium-sized businesses.

How to apply

If you are passionate about data engineering and eager to contribute to an innovative AI-driven platform, we invite you to submit your application. We look forward to reviewing your background and discussing how your skills can help us continue to grow.