Software Engineer 2

Wyetech•Annapolis Junction, MD

22h•$84 - $113

About The Position

Wyetech is seeking a Data Workflow Automation Engineer at the Software Engineer Level 2 (SWE2) to develop, maintain, and optimize data workflows and automation pipelines using Apache Airflow. The role builds reliable, scalable, and observable workflow orchestration solutions for data engineering, analytics, and mission-critical operations. The engineer collaborates with data engineers, platform teams, systems engineers, and mission stakeholders to deliver secure, efficient, production-ready data solutions. The Software Engineer designs, develops, tests, deploys, documents, maintains, and enhances complex software systems based on documented requirements. These systems may include data-intensive analytics, large-scale data processing, real-time applications, data repositories, and workflow orchestration services. The engineer applies software engineering methodologies, configuration management practices, and system integration principles to develop reliable, scalable, and maintainable solutions. Candidates must meet one of these education and experience combinations: a master's degree in Computer Science or a related discipline and three years of Software Engineering experience; a bachelor's degree in Computer Science or a related discipline and five years of Software Engineering experience; or seven years of Software Engineering experience supporting programs and contracts of similar scope, type, and complexity. Relevant experience must include software development, programming, integration, testing, troubleshooting, and maintenance in comparable technical environments. Clearance requirements must be confirmed for this specific opening. The advertised hourly pay range is $83.61–$113.23. Actual compensation may vary based on factors including government contract rates, education, relevant experience, skills, certifications, and geographic location. Listed hourly rates reflect pre-benefit gross wages and are not a guarantee of compensation.

Requirements

Experience using Linux command-line interfaces, system utilities, and troubleshooting tools.
Experience developing Bash scripts to automate manual processes and improve operational efficiency.
Recent hands-on software development experience using Python and Java.
Familiarity with workflow orchestration tools, particularly Apache Airflow.
Familiarity with distributed big data processing technologies, including Apache Spark.
Experience with containerization technologies such as Docker, containerd, and Podman.
Proficiency with Git for source code management, version control, and collaborative development.
Experience designing, developing, debugging, testing, and maintaining software applications.
Understanding of software development methodologies, system integration, and performance optimization.
Meet one of the stated education and experience combinations: a master's degree in Computer Science or a related discipline plus three years of Software Engineering experience; a bachelor's degree in Computer Science or a related discipline plus five years of Software Engineering experience; or seven years of Software Engineering experience supporting programs and contracts of similar scope, type, and complexity.
Relevant experience must include software development, programming, integration, testing, troubleshooting, and maintenance within comparable technical environments.

Nice To Haves

Experience using Atlassian collaboration and development tools, including Jira and Confluence.
Familiarity with Amazon Web Services (AWS) cloud infrastructure and services.

Responsibilities

Design, develop, deploy, and maintain automated data workflows and orchestration pipelines using Apache Airflow.
Develop and enhance Python and Java applications supporting data processing, analytics, and workflow automation.
Create and maintain Bash scripts to automate operational tasks and improve system efficiency.
Integrate workflow orchestration solutions with distributed data processing technologies, including Apache Spark.
Develop, test, and deploy containerized applications using Docker, containerd, and Podman.
Monitor, troubleshoot, and optimize data pipelines to ensure reliability, scalability, and operational performance.
Analyze user requirements and translate them into software design, workflow architecture, and performance specifications.
Debug existing software, resolve defects, and implement enhancements to improve system functionality.
Develop database queries and integrate data repositories to support automated processing and analytical workflows.
Collaborate with data engineers, platform teams, and systems engineers to support software integration and operational requirements.
Develop and execute software testing procedures and maintain technical documentation.
Recommend improvements to software development processes, automation practices, and system performance.
Provide technical guidance and support team development activities as appropriate to the project.

Benefits

Automatic SEP IRA contribution equal to 20% of each employee's gross compensation, with no employee matching requirement; contributions are fully vested from day one.
Generous PTO plan of up to 200 hours annually, with flexibility to adjust PTO allocation at the start of each calendar year.
Voluntary benefit plans for full-time employees, including a choice of medical plans, some with a Health Savings Account (HSA).
Vision and dental benefits.
Life and AD&D benefits.
Short- and long-term disability benefits.
Hospital indemnity, accident, and critical illness insurance.
Optional identity theft and legal protection services.
Employee referral bonus eligibility up to $10,000.
Mobility among Wyetech-supported contracts.
Team-building events, including monthly lunches, a summer company picnic, and an annual holiday party.
Two complimentary branded clothing orders annually.