Role: Data Engineer Location: Remote (USA) Type: W2 Contract (Not open for Third party or C2C or 1099 arrangement). Experience: 7+ Years About the Role We are looking for a skilled Data Engineer to design and build scalable data pipelines and infrastructure. In this role, you will work with modern data technologies including Spark, Python, SQL, and cloud-native tools on AWS (S3, Glue, Redshift, Athena, Lambda). You'll be responsible for implementing robust ETL/ELT workflows, ensuring data quality, governance, and collaborating closely with data analysts, scientists, and business teams to drive data-driven decision-making. Ideal candidates will have strong hands-on experience with Airflow, DBT, and Lakehouse architectures, with a passion for building clean, reliable, and observable data solutions. Responsibilities: • Design, develop, and deploy scalable data pipelines using Spark, Python, and SQL. • Work with AWS services such as S3, Glue, Redshift, Athena, Lambda. • Implement ETL/ELT workflows using orchestration tools like Airflow. • Ensure data quality, lineage, governance, and observability. • Collaborate with analysts, data scientists, and business stakeholders. Required Skills: • Strong Python and SQL programming. • Experience with Spark, Airflow, and DBT. • Expertise in AWS and cloud-native data platforms. • Familiarity with Data Lake/Lakehouse architectures and versioned data systems.