Secret-Cleared Data Engineer - Scalable Pipelines

SMX

Olympia (WA)

On-site

USD 115,000 - 187,000

Full time

4 days ago
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Job summary

SMX is hiring a Data Engineer to design, build, and optimize systems for data collection, storage, access, and analytics at scale. You will analyze raw data, build robust data systems, and transform information from different sources into high-quality pipelines.

The role collaborates with analytics and business teams to transform raw information into accessible data for data scientists and other consumers. You will ensure data is available, secure, and compliant with SLAs while implementing

Qualifications

  • Bachelor's degree in computer science, Information Technology, Data Engineering, or a related field.
  • 8 years of professional experience in a data engineering or backend software engineering role.
  • Active Secret security clearance.
  • Strong proficiency in SQL and data query creation.
  • Experience with data modeling, data migration, and ETL functions.
  • Excellent communication skills, both written and verbal, with the ability to interface with customers.

Responsibilities

  • Create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers
  • Make data available, accessible, and secure to stakeholders.
  • Ensure data pipelines meet Service Level Agreements and performance standards
  • Monitor data repositories and data pipelines to ensure operational efficiency and take action to address and resolve problems
  • Implement orchestration and automation solution for data pipelines

Skills

SQL & data queries
Data modeling
Data migration
ETL
Communication
Backend software engineering
Security clearance

Education

Bachelor's degree in computer science / IT / data engineering

Tools

Databricks

Job description

SMX is hiring a Data Engineer to design, build, and optimize systems for data collection, storage, access, and analytics at scale. You will analyze raw data, build robust data systems, and transform information from different sources into high-quality pipelines.

The role collaborates with analytics and business teams to transform raw information into accessible data for data scientists and other consumers. You will ensure data is available, secure, and compliant with SLAs while implementing

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