Data Engineer (Data Modernization)

ShyftLabs is seeking a Data Engineer to lead a comprehensive Data Modernization Assessment for their client. This role combines technical expertise with strategic thinking, focusing on evaluating and optimizing data architecture, pipelines, and observability infrastructure. The position requires 4-6 years of experience in enterprise-scale data environments, with deep knowledge of ETL/ELT processes, cloud platforms, and modern data tools.

The role involves working at the intersection of traditional data engineering and cutting-edge AI/ML technologies, making it an exciting opportunity for someone passionate about data modernization. The engineer will collaborate with various stakeholders, from architects to business teams, ensuring technical alignment and data usability across the organization.

The position offers a hybrid work arrangement with 2 days per week in the office, demonstrating ShyftLabs' commitment to flexible working. The company provides competitive compensation, including comprehensive healthcare benefits and significant investment in employee development through learning resources.

As an equal-opportunity employer, ShyftLabs is committed to fostering a diverse and inclusive workplace. They welcome applications from candidates of all backgrounds, including various ethnicities, religions, disabilities, gender identities, sexual orientations, family statuses, ages, nationalities, and education levels.

The ideal candidate will bring not only technical expertise in data engineering but also strong communication skills and the ability to translate complex technical concepts for non-technical audiences. This role offers the opportunity to shape the future of data infrastructure while working with modern technologies and contributing to significant digital transformation initiatives.