Data Engineer

Data Engineer - Full Remote Working from anywhere in the US SQL+Python+ETL+Airflow Our client is a global leading high tech company: -Over 6,500 employees across 20+ offices; -Fast growing; -Cutting edge AR and VR technologies, 3D printing, etc. They are looking for a 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. -Technologies: SQL, Python, ETL, Big Query, Spark, Hadoop, vision control systems such as Git, workflow management tools such as Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes, optimize delivery, and comply with privacy and governance standards. -Implement and manage data warehousing solutions, ensuring data integrity through rigorous testing and validation. -Develop tools and systems to address limitations in data consumption portals. -Implement and maintain robust data security practices Requirements: -5+ years of experience in SQL -5+ years of development in Python -MUST have experience in Apache Airflow -Experience in Google BigQuery, Spark, and Hadoop is a big plus -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 up to $70 an hour (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.