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Software Engineer – Automation
BlueprintSoftware Engineer designing, building, and maintaining automation solutions for operational efficiency at Blueprint. Collaborating with teams to integrate data and improve workflows.
Posted 6/25/2026full-timeRemote • Washington • 🇺🇸 United StatesMid-LevelSenior💰 $145,000 - $155,000 per yearWebsite
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Design, develop, and maintain automation pipelines that streamline operational, validation, and engineering workflows.
- Analyze business and operational requirements and translate manual processes into scalable technical solutions.
- Integrate and consolidate data from databases, APIs, work tracking systems, spreadsheets, document repositories, and other enterprise data sources.
- Build software solutions that ingest, normalize, validate, and report on operational and telemetry-related data.
- Develop reusable validation frameworks, quality checks, and reporting components that can be leveraged across multiple workflows.
- Automate manual review and approval processes while maintaining appropriate human oversight and governance controls.
- Create reliable scripts, services, and tools with robust logging, monitoring, error handling, retry mechanisms, and auditability.
- Produce technical specifications, implementation plans, test strategies, and supporting documentation.
- Enhance and maintain existing automation tools to align with evolving business requirements and operational standards.
- Conduct unit testing, integration testing, system validation, and post-deployment verification activities.
- Troubleshoot issues across both modern and legacy systems, identify root causes, and implement long-term solutions.
- Partner with engineering, operations, and program stakeholders to ensure automation outputs are accurate, actionable, and operationally effective.
- Support the development of repeatable reporting pipelines, operational readiness tooling, and data quality verification processes.
Requirements
What you’ll need- Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, or a related technical field.
- 5+ years of software engineering experience using Python, C#, PowerShell, or other automation-focused programming languages.
- 3+ years of experience building automation pipelines, backend tools, data workflows, system integrations, or internal engineering platforms.
- 3+ years of experience working with structured and semi-structured data sources, including SQL/KQL query results, APIs, JSON, CSV files, logs, and spreadsheets.
- Strong understanding of software engineering fundamentals, including data structures, algorithms, software design principles, and maintainable coding practices.
- Experience integrating with databases, enterprise systems, APIs, work tracking tools, and other operational data sources.
- Experience developing validation frameworks, data quality checks, automated reporting solutions, or workflow automation systems.
- Strong troubleshooting and problem-solving skills in both new and legacy production environments.
- Experience creating and executing unit tests, integration tests, validation plans, and test data for automation solutions.
- Ability to work effectively in ambiguous environments and translate operational needs into scalable software solutions.
- Experience working with AI-enabled tools, systems, or solutions.
Benefits
Comp & perks- Medical, dental, and vision coverage
- Flexible Spending Account
- 401k program
- Competitive PTO offerings
- Parental Leave
- Opportunities for professional growth and development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonC#PowerShellautomation pipelinesdata workflowssystem integrationsSQLKQLJSONCSV
Soft Skills
troubleshootingproblem-solvingeffective communicationadaptabilitycollaboration
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Computer EngineeringBachelor's degree in Data Engineering