Senior AI Data Engineer

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Overview

Scorpion is a leading technology provider that supports local businesses in understanding market dynamics and enhancing customer engagement. The company focuses on streamlining marketing solutions using a blend of advanced technology and human expertise to create a unique customer experience. They excel in various services, including SEO, advertising, and digital marketing tools, which empower local businesses to thrive in their respective markets.

Role Description

The Senior AI Data Engineer sits within Scorpion’s AI team, playing a pivotal role in constructing and enhancing the data framework that supports various AI products and services. This role demands collaboration with stakeholders, including engineering, data science, product management, and AI leaders, ensuring the data layer is scalable, secure, and reliable. The engineer will be responsible for building a unified analytical data layer that not only supports internal teams but also enhances customer experience through reliable data access and machine learning capabilities.

Responsibilities

The key responsibilities of the position include:

• Designing and building Scorpion’s analytical data platform to establish a trusted source of truth for business and client data.
• Developing scalable data pipelines that efficiently transition data from operational systems to the analytical platform.
• Enabling teams to migrate from production database querying to using trusted analytical data sources.
• Establishing data access patterns that facilitate fast retrieval of essential client and business data for AI applications.
• Building secure and scalable solutions that integrate client context into internal applications and AI experiences.
• Defining and improving service level agreements (SLAs) for data freshness, reliability, and availability, ensuring high-quality data across systems.
• Collaborating with cross-functional teams to establish data governance standards and practices.

Position Requirements

Educational Requirements

Candidates should have a Bachelor’s degree in disciplines such as Computer Science, Data Engineering, Information Systems, or Software Engineering. Equivalent practical experience can also be considered.

Experience Needed

• 7+ years of data engineering experience, with a focus on designing and managing production-scale analytical data platforms.
• Proficiency in building data pipelines in cloud environments.
• Experience with integrating data from multiple systems into comprehensive analytical platforms is essential.
• Familiarity with supporting data access for machine learning or other AI solutions.
• Proven experience in establishing data governance standards and documentation practices across different teams.

Technical Skills

• Proficient in Databricks, Delta Lake, and Apache Spark, particularly for large-scale data processing and streaming.
• Experienced in working with analytical databases like Snowflake, BigQuery, or others.
• Advanced knowledge of SQL, including performance tuning and optimization, alongside strong proficiency in Python for development and data pipeline tasks.
• Experience with orchestration tools such as dbt, Airflow, or similar.
• Understanding of lakehouse architecture and best practices in data security.

Professional Skills

• Strong collaboration and communication abilities to effectively connect with engineering, product, and data science teams.
• Capable of translating business requirements into scalable data solutions.
• Excellent analytical and problem-solving skills with an emphasis on building maintainable systems.
• Ability to balance long-term data strategies with short-term business goals.

Company Values

Scorpion adheres to core values that establish a strong company culture. These include:

• Winning Mindset: Success through client satisfaction.
• Genuine Care: Commitment to the success of clients and internal teams.
• Unmatched Results: Driving results that exceed expectations.
• Constant Improvement: A culture that fosters innovation by asking ‘What if?’.
• Unbeatable Teamwork: Collaborative efforts from diverse backgrounds to achieve common goals.

Compensation and Benefits

Salary

The expected salary range for the Senior AI Data Engineer role is between $155,000 (entry-level) to $185,000 (highly experienced). The final base salary will depend on various factors, including geographic location, experience, and education. The company acknowledges the importance of equitable pay among its team members when making compensation offers.

Benefits Package

Scorpion offers a versatile compensation package that includes:

• 100% employer-paid medical, dental, and vision insurance.
• Flexible paid time off to promote work-life balance.
• Paid parental leave for family bonding.
• Remote office allowance for at-home work setups.
• Professional development courses to foster growth.
• Regular performance check-ins to enhance career development.

Work Environment

Scorpion supports a flexible work arrangement, including in-office, hybrid, and fully remote roles. Employees living within commuting distance of office locations may be asked to come in based on team needs. Detailed expectations regarding working arrangements will be clarified further during the interview process.

Diversity and Inclusion

As an equal opportunity employer, Scorpion embraces diversity in hiring and considers applicants regardless of race, religion, gender, age, or other statuses. The organization is dedicated to nurturing an inclusive work environment that values contributions from all backgrounds.

In summary, the Senior AI Data Engineer position at Scorpion offers an exciting opportunity for candidates looking to leverage their technical skills in data engineering while working in a supportive and innovative environment.

This job offer was originally published on jobicy.com