Junior Software Engineer

Belay Technologies; Columbia (MD); On-site; USD 70,000 - 190,000; Full time

Benefits offered by this job

Paid leave

401(k) match

Tuition assistance

Student loans

HSA funded

Medical coverage

Dental coverage

Life insurance

Gym reimbursement

Amazon Prime

Volunteer program

Referral bonus

Job summary

Belay Technologies in Columbia, MD is seeking a Software Engineer I to join our intel team. You will design streaming pipelines, develop ETL workflows, and use AI to accelerate data analysis.

The role partners with stakeholders to ensure accurate provisioning and rapid iteration of best practices. Qualifications include TS/SCI with polygraph, 3 years of experience or equivalent, and strong Python skills with Kafka and streaming analytics.

Qualifications

• TS/SCI Clearance with polygraph is required.
• 3 years of experience or 4 additional years in place of a degree.
• Strong Python proficiency and AI/ML tooling experience.
• Experience with Kafka and streaming analytics.
• Relational databases and dataflow concepts are preferred.
• Exposure to data science or mission analytics is a plus.

Responsibilities

• Build streaming data pipelines using Kafka and Python.
• Develop ETL workflows to reconcile requested vs. realized infrastructure.
• Apply AI tools to accelerate analysis and prototype solutions.
• Ensure scalable and reliable data ingestion and processing.
• Collaborate with full-stack engineers on integration and visualization.

Skills

Python

AI/ML tools

Kafka

Streaming analytics

Relational databases

Data analysis concepts

Education

B.S. in a technical discipline

4 additional yrs of experience in lieu of B.S.

Tools

GitLab

Jira

Confluence

ClickHouse

Job description

Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021!

Belay Technologies is seeking a Software Engineer to join our intel team. You will be part of a team responsible for delivering mission-critical infrastructure cognizance. You will be tasked with aggregating data sources to create a clear picture of what infrastructure was requested, what infrastructure was deployed, and proactively alerting on any discrepancies. The team's application is used by subject matter experts to investigate, create, and iterate on best practices and deployment rules, and the team detects and surfaces cases where requested or provisioned infrastructure breaks those best practices and rules. Given the visibility and impact of this work, the team interacts with many stakeholders from across the organization and iterates as frequently as possible. As a Software Engineer I focusing on streaming analytics and ETL, you will design pipelines that transform infrastructure data into actionable insights and leverage AI to conduct analysis and rapidly develop new solutions.

Responsibilities:

• Build streaming data pipelines (Kafka, Python) to process infrastructure data
• Develop ETL workflows to reconcile requested vs. realized infrastructure
• Apply AI tools and techniques to accelerate analysis and prototype new solutions quickly
• Ensure scalable and reliable data ingestion and processing
• Collaborate with full-stack engineers on integration and visualization of results.

Candidates should have the following requirements:

• TS/SCI Clearance with polygraph
• 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

Candidates should have the following qualifications:

• Strong proficiency in Python
• Demonstrated use of AI/ML tools to accelerate data analysis and engineering solution development
• Experience with Kafka and streaming analytics
• Working knowledge of relational databases
• Exposure to adjacent domains such as dataflow, data science, or mission analytics is a plus

Nice to Haves:

• Experience analyzing cyber security data sets such as network traffic and OS events
• Understanding of end-to-end SIGINT collection and analysis systems
• Hands-on experience with production CNO capabilities and operations
• Familiarity with ClickHouse
• Proficiency with Git and GitLab
• Working knowledge of Atlassian tools such as Jira and Confluence

Perks and Benefits:

• 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program
• 10% matching in 401(k) contributions vested on day one
• $5,000 annual training/tuition
• Student Loan Repayment Program
• 100% company-funded HSA
• Rich medical coverage (100% coinsurance)
• Dental coverage including orthodontia
• Up to $420,000 in life insurance, premiums 100% company funded
• Amazon Prime, gym reimbursement, monthly lunches, games and prizes
• Pet adoption program, generous referral bonus program, fun events, and more!

At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development.

Salary Range: $70,000 to $190,000

Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.