Data Engineer

$110,000 - $150,000/Yr

Accrete.Ai - New York, NY

Full-time - Entry Level

New York, NY

About the position

Accrete is seeking a skilled Data Engineer to join its dynamic team. The role involves architecting, developing, and maintaining data infrastructure and pipelines to support AI-driven solutions. The Data Engineer will collaborate with cross-functional teams to ensure data integrity, reliability, and scalability, contributing to the company's mission of enhancing human reasoning through powerful AI software.

Responsibilities

• Design, develop, and maintain scalable and efficient data pipelines and ETL processes
• Architect and manage data storage solutions, ensuring high performance, data integrity, and security
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and translate them into technical specifications
• Develop and maintain robust data models, schemas, and documentation for data warehouses and data lakes
• Monitor, troubleshoot, and optimize the performance of data pipelines and systems
• Implement best practices for data quality, consistency, and governance across various data sources and systems
• Stay up to date with the latest industry trends and technologies in data engineering and AI and incorporate them into the team's practices
• Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 1+ years of experience in data engineering, with a strong background in building and maintaining data pipelines and ETL processes
• Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL)
• Extensive experience with big data technologies such as Hadoop, Spark, or similar
• Proficiency with Python
• Expertise working with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and their data services
• Proficiency in data warehousing solutions (e.g., Redshift, BigQuery, Snowflake, Databricks)
• In-depth knowledge of data modeling, ETL processes, and data integration techniques
• Strong problem-solving skills and the ability to work independently and as part of a team
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams

Nice-to-haves

• Experience with machine learning frameworks and tools
• Knowledge of data governance and best practices for data privacy and security
• Experience with mentoring other engineers
• Proven track record of contributing to strategic data initiatives
• Hands-on experience working with Snowflake or Databricks

Benefits

• Fortune 500 level core benefits package: health, dental, vision, Rx, long-term disability, short-term disability, life insurance, and 401(k) traditional and roth
• Unlimited PTO & all U.S. federal holidays off
• Company events include happy hours, team bonding events, game nights, and more
• Our office is stocked with healthy and delicious lunches, snacks, beverages and more
• Competitive salary, benefits package, and opportunities for growth and advancement within the company