Senior Data Engineer: Scalable Pipelines & Data Platforms

hudsonmanpower; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

hudsonmanpower is seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data platforms and analytics solutions. You will partner with data scientists, BI developers, software engineers, and stakeholders to deliver reliable, high-performance data pipelines that support critical analytics and AI initiatives.

The role requires deep expertise in Python and SQL, ETL/ELT processes, data warehousing, and cloud services across AWS/Azure/GCP.

Qualifications

• 8+ years of hands-on data engineering experience.
• Strong proficiency in Python and SQL.
• Experience designing and maintaining scalable data pipelines and data platforms.
• Experience with cloud data platforms and data warehousing.

Responsibilities

• Design, develop, and maintain scalable batch and real-time data pipelines.
• Build ETL/ELT workflows to ingest, transform, and distribute data.
• Develop optimized SQL queries, stored procedures, and data transformations.
• Design data warehouses, data lakes, and lakehouse architectures.

Skills

Python

SQL

ETL/ELT

Cloud platforms

Data modeling

Spark/PySpark

Airflow

Data warehousing

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Airflow

Azure Data Factory

AWS Glue

dbt

Snowflake

Databricks

Redshift

BigQuery

Job description

hudsonmanpower is seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data platforms and analytics solutions. You will partner with data scientists, BI developers, software engineers, and stakeholders to deliver reliable, high-performance data pipelines that support critical analytics and AI initiatives.

The role requires deep expertise in Python and SQL, ETL/ELT processes, data warehousing, and cloud services across AWS/Azure/GCP.