HPC - Senior Software Engineer - Linux, Bash, Apache 7/6/2026 Annapolis Junction, MD MD - DRA

Erias Ventures, LLC; Annapolis (MD); On-site; USD 229,000 - 251,000; Full time

Benefits offered by this job

Above Market Hourly Pay

11% 401k with Immediate Vesting

Professional Development Bonuses

100% Company Paid Health Coverage

Flexible Work Schedules

Amazon Prime Membership

Job summary

Erias Ventures, LLC is looking for a Senior Software Engineer specialized in Linux, Bash, and Apache, based in Annapolis, MD. The role involves optimizing and designing data processing systems, requiring a top-secret security clearance.

Candidates should possess a master’s degree and five years of relevant experience or hold a bachelor’s degree with seven years in software engineering. Competitive salary range is $229,000 - $251,000, along with comprehensive benefits.

Qualifications

• Master's degree plus five years of experience or bachelor's plus seven years.
• Nine years of experience is acceptable.

Responsibilities

• Design and optimize data ingress/egress pathways.
• Ensure scalable and reliable processing of analytics workloads.

Skills

Linux CLI and Linux tools

Bash scripting

Python

Java

Apache Airflow

Distributed Big Data processing (Apache Spark)

SQL (MySQL, MariaDB, PostgreSQL)

Jupyter Notebook

Data preprocessing (pandas, NumPy)

Data wrangling

Git

Education

Master's degree in Computer Science or related discipline

Bachelor's degree in Computer Science or related discipline

Job description

HPC - Senior Software Engineer - Linux, Bash, Apache

Annapolis Junction, MD

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas.

Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.

Description

The Software Engineer shall possess extensive expertise in dataflow design, data transport mechanisms, and Apache Spark based distributed processing. In this role, the Software Engineer shall be responsible for designing, implementing, and optimizing data ingress/egress pathways to ensure efficient, scalable, and reliable processing of the organization’s analytics workloads.

Clearance

A current Top-Secret/SCI with polygraph security clearance (within 7 years) is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Experience

Master's degree in Computer Science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity or bachelor's degree in Computer Science or related discipline from an accredited college or university, plus seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity or nine (9) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.

Required skills

• Experience using the Linux CLI and Linux tools
• Experience developing Bash scripts to automate manual processes
• Recent software development experience using Python and Java
• Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows
• Experience with Distributed Big Data processing engines including Apache Spark
• Familiar with SQL technologies such as MySQL, MariaDB, and PostgreSQL for querying, joining, and aggregating large datasets
• Experience using Jupyter Notebook
• Experience with data wrangling and preprocessing using tools such as pandas, NumPy
• Experience working with structured, semi-structured, and unstructured data such as Parquet, JSON, CSV, XML
• Familiarity with data quality concepts, data validation, and anomaly detection
• Experience with Git Source Control System

Desired skills

• Familiar with HPC Job Scheduling tools including Slurm
• Experience using the Atlassian Tool Suite (JIRA, Confluence)

Benefits

Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $229,000 - $251,000.

Wealth Benefits:

• Above Market Hourly Pay
• 11% Roth or Traditional 401k with Immediate Vesting and Deposit
• Spot Bonuses for Assisting with Business Development and Company Growth
• Professional Development Bonuses for Certificates and Degrees

Health Benefits:

• Company subsidized Medical Coverage
• 100% Company Paid Vision and Dental Coverage
• 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance
• Monthly Wellness Reimbursement

Happiness Benefits:

• Paid Time Off with Flexible Work Schedules and Birthday Off
• Amazon Prime Membership and Monthly Internet Reimbursement
• Technology and Productivity Allowance for Equipment and Supplies
• Morale Building and Company Events to Celebrate our Successes and Build our Community
• Onboarding and Annual Swag
• Company Paid Professional Development and Training

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Referrals & Inquiries

Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire.

Please send referrals and inquiries to:

[e-mail]

To learn more about our company visit our website or LinkedIn.