
1 - 10 employees
Big agencies give you big talent for big money, but less time & commitment. Little agencies give you little less talent for little less money, but full dedication. What you want is the best from both worlds. What you need is big little agency. And you have just found it.
🔥 12 minutes ago
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1 - 10 employees
Big agencies give you big talent for big money, but less time & commitment. Little agencies give you little less talent for little less money, but full dedication. What you want is the best from both worlds. What you need is big little agency. And you have just found it.
• 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.
• 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.
• Medical, dental, and vision coverage • Flexible Spending Account • 401k program • Competitive PTO offerings • Parental Leave • Opportunities for professional growth and development
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