GCP Data engineer W2 only - $70/hr w2

Company Description Aumnitech is a technology-focused company powered by cloud architects, developers, designers, and digital strategists who work together to accelerate business success. The team specializes in designing and implementing future-ready cloud and digital solutions that enable organizations to scale efficiently and intelligently. From initial concept through execution, Aumnitech focuses on building robust, scalable architectures tailored to each client’s goals. The company values innovation, collaboration, and practical problem-solving to deliver measurable impact for its clients.
Role Description The GCP Data Engineer (W2) contract role is a remote position responsible for designing, building, and maintaining scalable data pipelines and solutions on Google Cloud Platform. Day-to-day tasks include developing and optimizing Extract Transform Load (ETL) processes, implementing data models, and supporting data warehousing and analytics initiatives. The role involves collaborating with cross-functional teams to understand data requirements, ensuring data quality and reliability, and contributing to performance tuning and cost optimization in GCP environments. The engineer will also help document data architectures, enforce best practices, and support ongoing enhancements to data platforms.
Qualifications
Candidates should possess strong Data Engineering skills, including experience building and maintaining data pipelines in cloud environments such as GCP.
Candidates should possess Data Modeling and Data Warehousing skills to design efficient schemas and support scalable analytical solutions.
Candidates should possess Extract Transform Load (ETL) and Data Analytics skills to process, transform, and interpret data for business and reporting needs.
Experience with GCP services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Composer or similar tools is highly beneficial.
Proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python, Java, or Scala).
Knowledge of data quality frameworks, performance optimization, and cost management in cloud data platforms.
Strong problem-solving abilities, attention to detail, and the capability to work independently in a remote, contract setting.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.

Work arrangement
Yes