Remote Data Engineer & Lakehouse BI Lead

NTT Data Americas, Inc.; Atlanta (GA); Remote; USD 138,000 - 152,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Health Savings Account (HSA)

AD&D insurance

401(k) plan

Voluntary benefits

Job summary

NTT DATA is seeking a PBI 1 data engineering professional for a fully remote role based in the United States. The candidate will design, develop, and maintain scalable data pipelines, leverage PySpark and SQL, and collaborate with Power BI teams to deliver enterprise data solutions.

The role emphasizes Delta Lake, Fabric Notebooks, and Azure data services, with a focus on data quality and production support in a distributed environment.

Qualifications

• 3+ years of Data Engineering, ETL/ELT, or cloud data development experience.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data transformation solutions.
• Develop data processing logic using Python, PySpark, SparkSQL, and SQL.
• Build and optimize Delta Tables and Lakehouse data structures for analytics and reporting.
• Develop, schedule, monitor, and troubleshoot Pipelines for data ingestion and transformation.
• Create and maintain Fabric Notebooks for data engineering, transformation, and automation workloads.
• Partner with architects, analysts, and Power BI teams to deliver reliable, high-quality enterprise data solutions.

Skills

Data engineering

ETL/ELT

SparkSQL

PySpark

Delta tables

Fabric Notebooks

Power BI

Azure data services

SQL

Git

CI/CD

Data quality

Production support

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Microsoft Fabric

Azure Data Factory

Azure DevOps

Delta Lake

Power BI

OneLake

Job description

NTT DATA is seeking a PBI 1 data engineering professional for a fully remote role based in the United States. The candidate will design, develop, and maintain scalable data pipelines, leverage PySpark and SQL, and collaborate with Power BI teams to deliver enterprise data solutions.

The role emphasizes Delta Lake, Fabric Notebooks, and Azure data services, with a focus on data quality and production support in a distributed environment.