Senior Data Engineer

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 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 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 around $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.