Join Our AI Team as a Senior Data Engineer at WorkWave!

At WorkWave, a leader in innovative technological solutions, we are currently looking for a skilled Senior Data Engineer to enhance our dedicated AI team. This role offers the opportunity to collaborate with top-tier professionals such as the Artificial Intelligence Architect and the Senior Director of Artificial Intelligence Strategy, focusing on building and optimizing data infrastructures that propel our AI and Machine Learning (ML) initiatives forward.

Key Responsibilities

Data Pipeline Design & Implementation: Construct and maintain efficient data pipelines and ETL processes, ensuring data is effectively ingested, cleaned, transformed, and loaded from diverse sources while maintaining security and high availability.

Data Infrastructure Development: Take charge of designing, implementing, and managing advanced data infrastructure like data lakes, warehouses, and databases to bolster data analytics and AI/ML workflows.

Collaboration with AI/ML Teams: Work closely with data scientists, data analysts, and the AI Architect to comprehend data requirements and develop data models for complex AI/ML use cases.

Data Quality Management: Establish data quality frameworks to guarantee data accuracy, consistency, and reliability across the organization.

Technology Evaluation & Integration: Assess and incorporate new technologies to advance our data infrastructure, ensuring they align with our strategies and future needs.

Data Governance & Security: Collaborate with security teams to develop governance policies and practices, upholding stringent data security and privacy standards.

Performance Tuning & Optimization: Continuously enhance data processing performance by identifying and resolving bottlenecks and optimizing data pipeline efficiency.

Documentation & Best Practices: Create comprehensive documentation and adhere to best practices in data engineering and architecture.

Required Qualifications

Educational Background: Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Professional Experience: At least 2 years in data engineering, with proven expertise in developing and optimizing data pipelines and managing data infrastructure for AI/ML projects.

Technical Skills: Proficiency in coding with Python or Java, hands-on experience with big data technologies and tools such as Apache Airflow, Apache NiFi, and extensive knowledge of SQL and database systems like PostgreSQL, Redshift. Familiarity with cloud platforms (AWS preferred) and MLOps principles is essential.

A Word from Our Hiring Manager

"As a Senior Data Engineer at WorkWave, your contributions will be crucial in shaping the data architecture that underpins our cutting-edge AI solutions. You will play a pivotal role in ensuring our data systems are robust, scalable, and primed for future growth. We are excited to see how your skills and insights will help drive our company forward into a data-driven future."

About WorkWave

WorkWave is renowned for its relaxed, yet professional work environment, offering flexible remote working options and a vibrant culture focused on innovation and excellence. Our headquarters reside in the historic Bell Works complex in New Jersey, with a global presence that spans across multiple states and countries.

Benefits and Perks

At WorkWave, our employees enjoy a wealth of benefits including comprehensive health and dental plans, 401(k) with company match, generous PTO, bonding leave, and continuous professional development opportunities.

Join Our Winning Team!

WorkWave has been consistently recognized as a top employer, with numerous awards to our name. We are committed to diversity and inclusion, encouraging applications from all candidates who may add to the diversity of our company, even if you do not meet every single qualification outlined above.

If you are passionate about data engineering and eager to play a significant role in AI developments at a growing company, click apply to start your journey with WorkWave today!