Senior AI Data Engineer at Scorpion

Ever wondered what it truly takes to build the intelligent backbone behind incredible local business success stories? As a Senior AI Data Engineer at Scorpion, you won't just be pushing data around; you'll be sculpting the very foundation for our advanced AI systems. Your expertise will directly empower local businesses globally, helping them understand their market, connect with customers, and ultimately thrive. Join a team where your work has a tangible impact, where innovation meets real world application every single day. We’re searching for someone passionate about data, eager to solve complex problems, and ready to shape the future of local business success.

Overview

Scorpion stands as a leader in providing technology and services that enable local businesses to flourish. Our unique approach blends cutting edge AI support with the invaluable insights of real human experts. We equip our clients with tools to grasp local market dynamics, maximize their marketing efforts, and deliver exceptional customer experiences. From SEO and advertising to lead management and social media, we integrate a full suite of solutions. This is a fully remote, worldwide opportunity, inviting talented individuals from across the globe to contribute to our mission.

You will join Scorpion's dynamic AI team, playing a pivotal role in constructing and evolving the trusted data foundation that fuels our AI products, analytical tools, and strategic decision making. Your contributions will be central to our ability to deliver smart, personalized solutions that truly make a difference for thousands of local businesses.

Key Responsibilities

Design, develop, and maintain robust, scalable, and efficient data pipelines using modern data engineering practices.
Build and optimize our unified analytical data models, ensuring data quality, consistency, and accessibility for AI/ML applications and business intelligence.
Collaborate closely with AI researchers, machine learning engineers, and product teams to understand data requirements and deliver innovative data solutions.
Implement and manage data governance policies, ensuring data security, privacy, and compliance across all data assets.
Develop and maintain ETL processes to integrate diverse data sources into our data ecosystem.
Champion best practices in data engineering, including automation, testing, monitoring, and documentation.
Evaluate and implement new data technologies and tools to enhance our data platform's capabilities and performance.
Troubleshoot and resolve data related issues, ensuring high availability and reliability of our data infrastructure.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
A minimum of 5 years of professional experience in data engineering, with a strong focus on building data platforms for AI/ML.
Proficiency in programming languages such as Python and SQL.
Extensive experience with cloud based data platforms (e.g., AWS, GCP, Azure) and their data services (e.g., S3, BigQuery, Snowflake, Redshift, Glue, DataFactory).
Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT methodologies.
Proven track record with big data technologies like Apache Spark, Flink, or similar distributed processing frameworks.
Experience with workflow orchestration tools such as Apache Airflow.
Familiarity with MLOps principles and practices, including data versioning, model monitoring, and pipeline automation.
Excellent problem solving skills and the ability to work independently or as part of a collaborative team.
Strong communication skills, capable of explaining complex technical concepts to non technical stakeholders.

What You'll Gain

The chance to make a significant impact on a rapidly growing company and directly influence the success of local businesses worldwide.
An opportunity to work with a talented and passionate team on cutting edge AI and data technologies.
A culture that values innovation, continuous learning, and professional development.
Competitive compensation and benefits, recognizing your expertise and contributions.
The flexibility of a fully remote work environment, allowing you to thrive from anywhere in the world.
Be part of a mission driven organization that truly helps businesses achieve their goals.