Senior Data Engineer & Architect: Pipelines, ETL, Big Data

Node.Digital; Herndon (VA); Presencial; USD 120.000 - 180.000; Tempo integral

Benefícios oferecidos por esta vaga

Medical

Dental

Vision

Basic Life

Health Saving Account

401K

Three weeks of PTO/Sick

11 Paid Holidays

Pre-Approved Online Training

Resumo da vaga

Node.Digital in Herndon, VA seeks a Senior Data Engineer/Data Architect to design and optimize data architectures, pipelines, and APIs. The role emphasizes building scalable data models, ETL processes, and data integration across sources within an enterprise setting.

The candidate brings 8+ years in data engineering/architecture, strong SQL, and proficiency in Python/Java/Scala to drive reliable data-driven decisions. Local onsite work required with enterprise projects.

Qualificações

• Bachelor's degree in Computer Science, MIS, or related field, or 4+ years of equivalent experience.
• 8+ years of experience as Data Architect/Data Engineer or in a similar role.
• Strong SQL and DBMS experience (MySQL, PostgreSQL, SQL Server).
• Experience with big data tech (Hadoop, Spark) and ETL tools.
• Proficiency in Python, Java, or Scala.
• Experience designing and implementing data architectures and pipelines.

Responsabilidades

• Design and implement scalable data models and databases.
• Build, test, and maintain data pipelines to collect and integrate data.
• Develop ETL processes ensuring data quality.
• Integrate data from multiple sources for consistency and reliability.
• Create data APIs and automation scripts to streamline workflows.
• Monitor and optimize performance of data systems.
• Troubleshoot data issues and perform performance tuning.

Conhecimentos

Python

Java

Scala

SQL

ETL pipelines

Data architecture

Big data

Hadoop

Spark

MySQL

PostgreSQL

SQL Server

ETL tools

Formação

Bachelor's degree

Ferramentas

Hadoop

Spark

Descrição da vaga

Node.Digital in Herndon, VA seeks a Senior Data Engineer/Data Architect to design and optimize data architectures, pipelines, and APIs. The role emphasizes building scalable data models, ETL processes, and data integration across sources within an enterprise setting.

The candidate brings 8+ years in data engineering/architecture, strong SQL, and proficiency in Python/Java/Scala to drive reliable data-driven decisions. Local onsite work required with enterprise projects.