Secret-Cleared Data Engineer: Scalable Pipelines

SMX; City of Albany (NY); On-site; USD 115,000 - 187,000; Full time

Benefits offered by this job

Health insurance

Paid leave

Retirement

Job summary

SMX is hiring a Data Engineer to design, build, and optimize data systems for collection, storage, access, and analytics at scale. This role collaborates with analytics and business teams to turn raw information from diverse sources into high-quality, accessible data pipelines.

The ideal candidate analyzes and organizes data, builds robust data systems, and enhances data quality and reliability, with responsibilities spanning data pipelines, data security, and operational monitoring.

Qualifications

• Bachelor's degree in computer science, IT, Data Engineering, or 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

Security clearance

SQL proficiency

Data modeling

ETL functions

Communication skills

Backend software engineering

Data engineering experience

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 data systems for collection, storage, access, and analytics at scale. This role collaborates with analytics and business teams to turn raw information from diverse sources into high-quality, accessible data pipelines.

The ideal candidate analyzes and organizes data, builds robust data systems, and enhances data quality and reliability, with responsibilities spanning data pipelines, data security, and operational monitoring.