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.