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A leading global high-tech company is seeking a Senior Data Engineer to join their FinTech team. This role involves developing scalable data pipelines, maintaining data integrity, and utilizing advanced technologies such as SQL and Apache Airflow. Full remote work is available, with a competitive pay range of $65 to $75 per hour based on experience.
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This range is provided by Widen the Net Limited. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
$65.00/hr - $75.00/hr
Senior Data Engineer / Data Analytics Engineer - Full Remote Working from anywhere in the US
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
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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