Senior Data Engineer / Data Analytics Engineer - Full Remote Working from anywhere in the US SQL+Python+ETL+ Apache Airflow Our client is a global leading and fast growing high tech company: -Over 6,500 employees across 20+ offices; -300 Million+ active users on some of the platforms they developed; -Cutting edge AR and VR technologies, 3D printing, etc. They are looking for a senior Data Engineer to join their FinTech team! You will develop scalable data pipelines, ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data warehousing solutions, ensuring data integrity through rigorous testing and validation -Lead, plan and execute workflow migration and data orchestration using Apache Airflow -Focus on data engineering and data analytics Requirements: -5+ years of experience in SQL -5+ years of development in Python -MUST have strong experience in Apache Airflow -Experience with ETL tools, data architecture, and data warehousing solutions -Strong communication skills W2 employer full time contract, initially till the end of 2025 with the option to extend yearly. Offer $65 to $75 an hour depending on experience (40 hours per week, Mon-Fri) plus 50% contribution to medical plan, sick leave and federal public holidays as PTOs. Full remote working from anywhere in the US.