Data Engineer

April 13

CAI

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CQV • Start-Up and Verification • Owner's Project Management • Continuous Improvement • Asset Management

501 - 1000

Description

• Construct, manage, and optimize data pipelines for data ingestion, storage, and provisioning. • Work closely with data architects to implement their designs and uphold data standards. • Utilize modern data storage, processing tools, and modeling techniques to prepare data for analytical or operational uses. • Ensure the integrity and availability of data throughout the data lifecycle. • Monitor system performance, identifying bottlenecks and devising solutions to improve data reliability and quality. • Collaborate with data scientists and business analysts to support data-driven decisions and machine learning initiatives. • Develop and maintain scalable and reliable data infrastructure to meet business requirements. • Lead the integration of new data management technologies and software engineering tools into existing structures.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline. • At least 3 years of hands-on experience in a data engineering role. • Strong command over SQL, Python, and other relevant data manipulation languages. • Experience with data modeling, ETL development, and data warehousing solutions, especially with platforms like Snowflake. • Demonstrated ability to work with large, complex data sets. • Excellent problem-solving skills and attention to detail. • Superior communication abilities that let you convey intricate concepts to a non-technical audience with clarity. • Proven track record of working in cross-functional teams to deliver stellar project outcomes.

Benefits

• Up to 15% retirement contribution • 24 days PTO and 5 sick days per year • Health insurance at extremely low cost to employee • Financial support for internal and external professional education • 70% long term disability paid for by the company