Master's degree in Computer Science or related field plus 3 years of SWE experience, or Bachelor's degree plus 5 years, or 7 years of SWE experience
Proficiency with Linux CLI and tools
Experience developing Bash scripts for automation
Recent software development experience in Python and Java
Expertise with Apache Airflow for workflow orchestration
Experience with Apache Spark for big data processing
Familiarity with containerization technologies like Docker and Git for source control
Responsibilities
Create and maintain data workflows and automation pipelines using Apache Airflow
Build scalable and observable workflow orchestration solutions
Collaborate with data engineers and platform teams to enhance workflow efficiency
Ensure workflows are secure and production-ready
Design and monitor complex scheduling and orchestration workflows
Benefits
100% paid employee healthcare premiums
HaloScripts Concierge medication service
Generous paid time off (PTO)
10% 401K with 6% match and profit sharing from day one
Annualized bonuses and spot bonuses
Tuition reimbursement available
529 College Savings Plan
College Loan Pay Back Program
11 paid federal holidays
Generous referral bonuses
Full Job Description
Position Description: The Software Engineer shall be responsible for creating and maintaining data workflows and automation pipelines using Apache Airflow. This role focuses on building reliable, scalable, and observable workflow orchestration solutions that support data engineering, analytics, and operational use cases. The engineer will collaborate closely with data engineers, platform teams, and stakeholders to ensure workflows are efficient, secure, and production ready.
Position Required Skills:
Active TS/SCI with Polygraph
Master's degree in computer science or related discipline from an accredited college or university, plus three (3) 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 five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity OR Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
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 using Distributed Big Data processing engines including Apache Spark
Experience with containerization technologies such as Docker, containerd, and Podman
Experience with Git Source Control System
Position Desired Skills
Experience using the Atlassian Tool Suite (JIRA, Confluence)
Familiar with AWS Cloud Services and Infrastructure
Salary range for this position $165,000-$185,000 #CJ The Red Arch Solutions pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.
Red Arch Solutions Benefits Snapshot:
100% paid employee healthcare premiums. CareFirst Advantage Best in Class Benefits.
HaloScripts Concierge prescription medication service
Generous PTO.
10 % 401K 6% match vested day one and up to 4% profit sharing contribution.
