Big Data Engineer III

🕒 September 25

🦌 Connecticut, New Hampshire, +4 more states – Remote

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💵 $132k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Logo of AAA Northeast

AAA Northeast

1001 - 5000 employees

Founded 1900

🛡️ Insurance

✈️ Travel

🚘 Automotive

Insurance • Travel • Automotive

AAA Northeast is a regional branch of the American Automobile Association (AAA), providing membership-based automotive, travel, insurance, and financial services to consumers across its territory. It offers 24/7 roadside assistance and towing, a network of approved auto repair shops, travel planning and discounts, home and auto insurance products, and financial services such as credit cards and identity-theft monitoring. AAA Northeast also advocates for motorists and road safety while delivering member discounts and travel resources like TripTik and Trip Canvas.

📋 Description

• Design, develop, and maintain large-scale data processing systems • Architect and optimize ETL processes for complex data requirements • Design advanced data models and robust, scalable data pipelines • Manage and optimize databases using advanced SQL techniques • Implement and manage NoSQL databases and data warehousing solutions • Lead implementation and optimization of big data technologies • Manage distributed computing resources for large-scale data processing • Build, maintain, and manage cloud-based data pipelines using Snowflake, Fivetran, DBT, and Airflow • Apply DevOps practices and implement containerization solutions • Implement data security measures and optimize data processing and storage performance • Collaborate with data scientists and analysts to deliver actionable insights • Mentor and guide junior engineers

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field required, or 6–8 years of additional relevant experience • Master's degree in Computer Science, Information Technology, Engineering, or a related field preferred, or 5+ years of direct experience • 5+ years of experience in data engineering or a related field required • Advanced SQL techniques • Experience with ETL processes, data models, data pipelines, databases, data warehousing, big data technologies, distributed computing, cloud technologies, Snowflake, Fivetran, DBT, and Airflow • Experience applying DevOps practices and containerization solutions • Knowledge of data security measures • Big data, Azure cloud, or Snowflake certifications are beneficial but not required

🏖️ Benefits

• Rated a top employer and best place to work across the Northeast • Equal opportunity employer • Diverse and inclusive workplace culture

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