Bachelor's degree in a technical discipline (or 2 additional years of experience in lieu of a degree)
Proficiency in Linux CLI and tools
Experience with Bash scripting for automation
Recent development experience in Python and Java
Hands-on experience with Apache Airflow for workflow orchestration
Familiarity with distributed big data processing engines like Apache Spark
Experience with containerization technologies such as Docker and Podman
Proficient in Git for source control
Responsibilities
Create and maintain data workflows and automation pipelines using Apache Airflow
Build reliable, scalable, and observable workflow orchestration solutions
Collaborate with data engineers and platform teams to ensure workflow efficiency
Ensure workflows are secure and production-ready
Monitor and troubleshoot complex workflows
Benefits
25 days of paid time off (PTO)
11 paid holidays
100% employer-paid healthcare for employees and dependents from day one
8% employer match on 401(k) with immediate vesting
Full Job Description
**Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance.
Telework: 16 hours/week
Basic Requirements:
5 years of experience as a software engineer
Bachelor's degree in a technical discipline
2 additional years of experience as a software engineer may be substituted for a degree
Job 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.
Required Experience:
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
Desired Experience:
Experience using the Atlassian Tool Suite (JIRA, Confluence)
Familiar with AWS Cloud Services and Infrastructure
Salary: $205,000 - $215,000 annually
Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents - available day 1, 8% 401(k) employer match - immediate vesting.
Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.
This is a full time position
About Consolidated Precision Products Corp.
Consolidated Precision Products Corp. is a manufacturer of complex metal components and products for the aerospace and defense industries. The company was founded in 1991 and is headquartered in Carrollton, Texas. Consolidated Precision Products Corp. operates a network of manufacturing facilities across the United States, as well as in Mexico and Europe. The company's products include castings, forgings, and machined components, as well as assemblies and sub-assemblies. Consolidated Precision Products Corp. is committed to providing high-quality products and services to its customers.
