Big Data Engineer III (59179)

AAA Northeast; Providence (RI); On-site; USD 132,000 - 170,000; Full time

Job summary

AAA Northeast is seeking a Big Data Engineer III in Providence, RI, responsible for designing and optimizing data processing systems. The role involves developing data pipelines, database management, and collaboration with data scientists.

The ideal candidate should have a Bachelor's degree in Computer Science or related fields and 5+ years in data engineering. The position offers a full-time shift with a competitive salary range of $132,000.00 - $170,000.00.

Qualifications

• 6–8 years of relevant experience required or 5+ years of direct experience with a Master’s.
• 5+ years of experience in data engineering or a related field.

Responsibilities

• Design and optimize ETL processes for complex data requirements.
• Oversee database management and optimization.
• Lead implementation of big data technologies.
• Apply DevOps practices in data engineering workflows.
• Mentor junior engineers and foster a collaborative environment.

Skills

Data engineering

Database management

Big data technologies

Cloud technologies

DevOps practices

Mentoring

Education

Bachelor’s Degree in Computer Science, IT, Engineering

Master’s Degree in Computer Science, IT, Engineering

Tools

Snowflake

Fivetran

DBT

Airflow

Job description

Job Details

Job Location: Providence, RI 02904. Position Type: Full Time. Salary Range: $132,000.00 - $170,000.00. Job Shift: 1st Shift. Job Category: Information Technology.

About the Company

AAA Northeast is a trusted brand that has been serving the community for over a century, focusing on innovation and giving back.

Job Summary

Big Data Engineer III is responsible for designing, developing, and maintaining large-scale data processing systems, building and optimizing data pipelines and ETL processes, designing and maintaining data models and architectures, and conducting performance tuning and optimization of data processing systems. Collaboration with data scientists and analysts is essential to deliver actionable insights.

What You Will Do

• Data Engineering: Architect and optimize ETL processes for complex data requirements, design advanced data models to support sophisticated data processing needs, and design and manage robust, scalable data pipelines.
• Database Management: Oversee the management and optimization of databases, utilize advanced SQL techniques for complex data operations, implement and manage NoSQL databases, and architect and manage data warehousing solutions.
• Big Data and Cloud Technologies: Lead the implementation and optimization of big data technologies, manage and optimize distributed computing resources for large-scale data processing, build and maintain data pipelines using cloud technologies such as Snowflake, Fivetran, DBT, Airflow, and utilize cloud platforms for scalable data processing and storage.
• DevOps and Security: Apply DevOps practices to automate and streamline data engineering workflows, implement containerization solutions for data processing jobs, implement data security measures to protect sensitive information, and optimize the performance of data processing and storage systems.
• Leadership: Mentor and guide junior engineers, fostering a collaborative and innovative work environment.

Qualifications

• Education: Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related field required; 6–8 years of additional relevant experience required.
• Education: Master’s Degree in Computer Science, Information Technology, Engineering, or a related field preferred or 5+ years of direct experience.
• Experience: 5+ years in data engineering or a related field required.

Licenses and Certifications

While not required, certifications such as Big Data, Azure Cloud, and Snowflake can demonstrate skill proficiency.

AAA Northeast is proud of our diverse culture, fostered by the many talents, skills, passions, and expertise of our employees. We are an equal opportunity employer and do not discriminate in recruiting, hiring, or promotion based on race, color, creed or religion, national origin, sex, age, sexual orientation, veteran’s status, gender identity or expression, disability, genetic information, marital status, pregnancy, or membership in any other protected class. We thrive when our team members bring their whole selves to work.