Senior Data Engineer - Hybrid Cloud Pipelines & Lakehouse

7Th Sky Tech; Charlotte (NC); Hybrid; USD 120,000 - 180,000; Full time

Job summary

7Th Sky Tech is seeking a Senior Data Engineer in Charlotte, NC, to design, build, and maintain scalable data platforms and pipelines. The role requires 8+ years of hands-on experience across data engineering, with strong Python, SQL, ETL/ELT, and cloud data warehousing expertise.

You will collaborate with data scientists, software engineers, and business analysts to enable data-driven decision making, implement streaming and batch processes, and ensure data quality and governance.

Qualifications

• 8+ years of professional experience in Data Engineering or related roles.
• Strong programming experience with Python.
• Advanced SQL skills with experience in query optimization.
• Strong experience with ETL/ELT development and data pipeline architecture.
• Hands-on experience with Apache Spark / PySpark.
• Experience with cloud platforms such as AWS, Azure, or GCP.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and optimize data processing workflows using Python and SQL.
• Develop data ingestion solutions from databases, APIs, files, and other sources.
• Design and maintain enterprise data warehouses, data lakes, and lakehouse architectures.
• Work with large datasets using distributed processing technologies such as Apache Spark/PySpark.
• Implement data quality, validation, monitoring, and error‑handling frameworks.

Skills

Python

SQL

ETL/ELT

Spark / PySpark

Cloud Platforms

Data Warehousing

RDBMS

Data Modeling

Airflow

Git / CI/CD / DevOps

Kafka

Education

Bachelor's degree in CS/Engineering/IT

Tools

Databricks

Snowflake

Airflow

Kafka

GitHub Actions

Docker

CI/CD

Job description

7Th Sky Tech is seeking a Senior Data Engineer in Charlotte, NC, to design, build, and maintain scalable data platforms and pipelines. The role requires 8+ years of hands-on experience across data engineering, with strong Python, SQL, ETL/ELT, and cloud data warehousing expertise.

You will collaborate with data scientists, software engineers, and business analysts to enable data-driven decision making, implement streaming and batch processes, and ensure data quality and governance.