Software Engineer 2
- Compensation
- Not disclosed
- Location
- Annapolis Junction, MD
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Experience using Linux command-line interfaces (CLI), 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.
Nice to have
- Experience using Atlassian collaboration and development tools, including Jira and Confluence.
- Familiarity with Amazon Web Services (AWS) cloud infrastructure and services.
Full description
Data Workflow Automation Engineer (Software Engineer Level 2 – SWE2)
Wyetech is seeking an experienced Data Workflow Automation Engineer (SWE2) to develop, maintain, and optimize data workflows and automation pipelines using Apache Airflow. This position focuses on building reliable, scalable, and observable workflow orchestration solutions supporting data engineering, analytics, and mission-critical operations.
The ideal candidate will possess strong Python and Java development experience, proficiency in Linux environments, and familiarity with workflow orchestration, distributed data processing, and containerization technologies. The Software Engineer will collaborate with data engineers, platform teams, and mission stakeholders to deliver secure, efficient, production-ready data solutions.
Required Skills/Experience:
- Experience using Linux command-line interfaces (CLI), 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.
Desirable Skills:
- Experience using Atlassian collaboration and development tools, including Jira and Confluence.
- Familiarity with Amazon Web Services (AWS) cloud infrastructure and services.
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 while collaborating with technical teams to develop reliable, scalable, and maintainable solutions.
Responsibilities and Capabilities:
- Design, develop, deploy, and maintain automated data workflows and orchestration pipelines using Apache Airflow.