Modern Data Engineer - Remote

Overview

At AnswerRocket, we build transformative AI solutions that drive measurable results for Fortune 2000 enterprises. For over a decade, we've helped industry leaders across sectors—from consumer goods and retail to healthcare and financial services—harness AI to achieve tangible business outcomes.

In Short

• Build and maintain data pipelines using cloud platforms and orchestration tools.
• Implement ETL/ELT processes for data ingestion, transformation, and quality validation.
• Contribute to data warehouse development and optimization projects.
• Support AI/ML pipeline development and model deployment processes.
• Write and maintain SQL queries, Python scripts, and data transformation logic.
• Assist with data quality monitoring, testing, and troubleshooting production issues.
• Build simple APIs and data access interfaces.
• Participate in code reviews and contribute to team documentation and best practices.
• Learn and apply new technologies as part of ongoing skill development.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field; or equivalent industry experience.
• 2-4 years of experience working with data systems, databases, or software development.
• Strong foundation in SQL and Python programming.
• Experience with at least one cloud platform (AWS, Azure, or GCP).
• Knowledge of database concepts, data modeling, and data warehousing fundamentals.
• Understanding of version control (Git) and basic software development practices.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills and ability to work collaboratively in a team environment.
• Eagerness to learn new technologies and grow technical expertise.

Benefits

• Structured onboarding program with hands-on projects and mentorship.
• Access to online learning platforms and technical certifications.
• Regular 1:1s with senior engineers for career development and technical guidance.
• Exposure to client projects and business context for technical decisions.
• Team collaboration on interesting technical challenges and emerging technologies.