AI Automations Data Engineer / Data Scientist - REMOTE

Jobgether

4h • Remote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Automations Data Engineer / Data Scientist. In this pivotal role, you will contribute to designing, building, and optimizing data solutions that enhance operational efficiency and drive business insights. Your efforts will support the mission of enabling technological innovation while exploring emerging technologies such as generative AI. You will work collaboratively across teams to develop actionable intelligence through robust data pipelines and machine learning models, playing a crucial part in shaping the data landscape of our partner.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, and 5+ years of experience in data engineering or data science.
• Proficiency in Snowflake, Matillion, BI Tools (Power BI, Tableau, or similar) and Data Science Platforms (Databricks).
• Strong programming skills in Python, SQL, or other relevant languages.
• Hands-on experience in building and deploying machine learning models.
• Strong analytical and problem-solving skills with a business-oriented mindset.

Responsibilities

• Design and implement scalable, reliable, and efficient end-to-end data pipelines and workflows using tools like Snowflake and Matillion.
• Collaborate with business owners to identify key data needs and translate them into actionable technical solutions.
• Evaluate industry trends and emerging technologies, including generative AI, to recommend innovative data strategies.
• Demonstrate expertise in data integration, transformation, and modeling using tools such as Snowflake and Matillion.
• Develop impactful dashboards and reports using Power BI and Tableau to support data-driven decision-making.
• Leverage Databricks for advanced data processing, machine learning workflows, and big data analytics.
• Build and deploy machine learning models and statistical analyses to address business challenges.
• Stay current with advancements in AI and ML technologies to identify opportunities for innovation.
• Collaborate with cross-functional teams to align data solutions with organizational priorities.
• Maintain governance standards and ensure compliance with data security protocols.

Benefits

• Robust total rewards package including competitive compensation and healthcare benefits.
• Flexible work schedules and work/life balance initiatives.
• Parental leave (including paternal) and achievement awards.
• Educational assistance and child/adult backup care.
• Career development and recognition programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees