Data Engineer

Aquent • Portland, OR

427d • $122,283 - $135,886

About The Position

The Senior Data Engineer will be a key member of the Consumer Data Engineering team (CoDE), responsible for designing, building, and maintaining the big data infrastructure. This role focuses on ensuring the scalability, reliability, and performance of data systems, utilizing technologies such as AWS, Spark, and Python. The ideal candidate will have extensive experience in big data engineering and cloud computing, with a strong emphasis on developing scalable data solutions and optimizing data pipelines.

Requirements

• 7-8 years of experience in data engineering, big data, or a related field
• Proficiency in Spark, including Spark Core, Spark SQL, and Spark Streaming
• Experience with AWS EMR, including cluster management and job optimization
• Strong skills in Python, including data structures, algorithms, and software design patterns
• Hands-on experience with Databricks, including Databricks Lakehouse (advantageous)
• Experience with optimizing Spark applications and ETL pipelines for performance and scalability
• Good understanding of data modeling, data warehousing, and data governance
• Experience with CI/CD tools such as Jenkins, GitLab, or CircleCI (advantageous)
• Strong understanding of software development principles, including unit testing and test-driven development
• Ability to design and implement scalable data solutions that meet business requirements
• Strong problem-solving skills, with the ability to debug complex data issues
• Excellent communication and collaboration skills, with the ability to work with cross-functional teams

Nice To Haves

• Experience with Databricks Lakehouse
• Knowledge of data engineering best practices and design patterns
• Experience with agile development methodologies, such as Scrum or Kanban

Responsibilities

• Design, build, and maintain large-scale data pipelines using AWS EMR, Spark, and Python
• Develop and optimize Spark applications and ETL pipelines for performance and scalability
• Collaborate with product managers and analysts to design and implement data models and data warehousing solutions
• Work with cross-functional teams to integrate data systems with other applications and services
• Ensure data quality, integrity, and security across all data systems
• Develop and maintain unit test cases for data pipelines and applications
• Implement CI/CD pipelines for automated testing and deployment
• Collaborate with the DevOps team to ensure seamless deployment of data applications
• Stay up to date with industry trends and emerging technologies in big data and cloud computing

Benefits

• Subsidized health, vision, and dental plans
• Paid sick leave
• Retirement plans with a match
• Free online training through Aquent Gymnasium

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Administrative and Support Services
• Education Level: No Education Listed