Senior Data Engineer: Scalable Pipelines & Data Platforms

MANTECH; Miami (FL); On-site; USD 120,000 - 165,000; Full time

Job summary

MANTECH in Doral, FL seeks a Senior Data Engineer to design, build, and optimize scalable data architectures and ETL/ELT pipelines. You will collaborate with data scientists and analysts to ensure data interoperability, perform tuning and validation, and maintain thorough documentation.

A strong background in SQL and Python/Scala/Java is required, with cloud experience and security clearances preferred. The role emphasizes reliability, data quality, and scalable data systems to support

Qualifications

• Requires a degree with 5+ years in data engineering or advanced combinations as listed.
• Proven experience building scalable data pipelines, warehouses, and relational DBs; strong SQL and programming in Python/Scala/Java.
• Hands-on with cloud data platforms, orchestration tools, and solid documentation of data architectures.

Responsibilities

• Design, build, test, and maintain scalable data architectures and processing systems.
• Develop and optimize automated ETL/ELT pipelines to ingest, transform, and load data.
• Collaborate with cross-functional teams to define data interoperability standards.
• Perform performance tuning, data validation, and troubleshooting across databases.
• Maintain data baselines, configuration controls, and comprehensive technical documentation.
• Recommend and implement enhancements for reliability, quality, and scalability.

Skills

SQL

Python

Scala

Java

Data Warehousing

ETL/ELT

Data Pipelines

Cloud Platforms

Documentation

Education

Bachelor's degree in CS/IT/related

Master's degree (related field)

Associate degree (related field)

High school diploma

Tools

AWS Data Engineer

Azure Data Engineer

Databricks Certified Data Engineer

Job description

MANTECH in Doral, FL seeks a Senior Data Engineer to design, build, and optimize scalable data architectures and ETL/ELT pipelines. You will collaborate with data scientists and analysts to ensure data interoperability, perform tuning and validation, and maintain thorough documentation.

A strong background in SQL and Python/Scala/Java is required, with cloud experience and security clearances preferred. The role emphasizes reliability, data quality, and scalable data systems to support