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.
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