Software Engineer - Analytics & Security Automation

Erias Ventures; Maryland; Hybrid; USD 185,000 - 205,000; Full time

Benefits offered by this job

Above Market Hourly Pay

401k with Immediate Vesting

Spot Bonuses for Growth

Professional Development Bonuses

Company subsidized Medical Coverage

Vision and Dental Coverage

Long Term Disability

Wellness Reimbursement

Paid Time Off with Flexible Work S

Internet Reimbursement

Equipment and Supplies Allowance

Company Events

Job summary

Erias Ventures seeks a Software Engineer to provide analytic support within the Secure the Enterprise initiative. You will develop capabilities to shift from manual security evaluation to a model emphasizing automation, streamlined processes and continuous monitoring across the project life cycle.

This role is focused on Pig/PySpark analytics, data ingestion review, and delivering reliable data to end users while ensuring daily operations run smoothly.

Qualifications

• Seven (7) years of SWE experience in programs and contracts of similar scope, type and complexity.
• Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required.
• Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.

Responsibilities

• Involved with the creation, maintenance, and running of Pig and PySpark analytics; review data ingest tickets and merge requests with other developers on the team.
• Deliver reliable, accurate data to end users and ensure day-to-day operations are successful, including investigating data arriving into the system.

Skills

Pig

PySpark

Python

Java

Scala

NiFi

Ansible

Agile

Analytics development

Education

Bachelor's degree in Computer Science or related discipline

Job description

Erias Ventures seeks a Software Engineer to provide analytic support within the Secure the Enterprise initiative. You will develop capabilities to shift from manual security evaluation to a model emphasizing automation, streamlined processes and continuous monitoring across the project life cycle.

This role is focused on Pig/PySpark analytics, data ingestion review, and delivering reliable data to end users while ensuring daily operations run smoothly.