• Develop and maintain EAG/API-gateway automation components that integrate with Government-approved CI/CD pipelines. • Create and validate configuration-as-code, pipeline-compatible deployment artifacts, gateway promotion workflows, API validation gates, and migration automation components. • Support automated checks for API specification quality, governance compliance, Zero Trust controls, telemetry, configuration drift, and production-readiness evidence. • Build automation and validation evidence that supports PWS automation outcomes, including 75 percent manual onboarding reduction, 90 percent automated onboarding success rate, and 100 percent Zero Trust/governance compliance prior to production deployment. • Troubleshoot gateway-side CI/CD integration issues, including deployment failures, configuration errors, credential/certificate dependencies, environment promotion issues, and validation gate failures. • Support Git-based version control, branching, pull/merge request workflows, artifact repositories, and release evidence. • Coordinate with Government CI/CD, DevSecOps, cybersecurity, identity, network, and release teams for platform-owned dependencies. • Produce pipeline documentation, automation runbooks, validation logs, deployment evidence, rollback steps, and knowledge-transfer materials.

• Design, develop, and maintain automated test frameworks for UI, API, and backend testing. • Lead the automation strategy, prioritizing efforts based on risk, impact, and business needs; establish and enforce automation standards and best practices. • Convert manual test cases into automated solutions. • Integrate automated tests into CI/CD pipelines. • Execute, monitor, and maintain automated regression and smoke test suites to ensure product stability and quality. • Conduct root cause analysis on defects and test failures. • Prepare and communicate quality metrics and status reports to management. • Collaborate with Product Owners, Business Analysts, Developers, and other stakeholders to ensure quality requirements are clearly defined.

• Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets. • Develop Python-based automation for data collection, transformation, validation, and workflow orchestration. • Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake. • Integrate and process data from multiple SaaS platforms through REST APIs and other integrations. • Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence. • Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching. • Process structured, semi-structured, and JSON data from a variety of internal and external sources. • Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions. • Identify opportunities to automate repetitive processes and improve operational efficiency. • Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.

Role Description We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation. You'll be responsible for building scalable data pipelines, integrating data from multiple SaaS platforms, developing automation that powers lead generation and enrichment, and leveraging AI to dramatically accelerate development. This role is ideal for someone who enjoys building, experimenting with new technologies, and continuously finding better and faster ways to solve problems. Responsibilities - Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets. - Develop Python-based automation for data collection, transformation, validation, and workflow orchestration. - Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake. - Integrate and process data from multiple SaaS platforms through REST APIs and other integrations. - Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence. - Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching. - Process structured, semi-structured, and JSON data from a variety of internal and external sources. - Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions. - Identify opportunities to automate repetitive processes and improve operational efficiency. - Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality. Qualifications - 3–7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field. - Strong Python programming skills with experience in data processing, automation, and API integrations. - Experience with Databricks, PySpark, SQL, and Delta Lake. - Experience integrating and processing data from multiple SaaS platforms via APIs. - Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching. - Experience working with structured, semi-structured, and JSON data. - Familiarity with Git and modern software development practices. Requirements - Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants. - Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity. - Comfortable rapidly prototyping, testing, and iterating using AI-assisted development. Preferred Qualifications - Hands-on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools. - Experience with CRM platforms such as Salesforce or HubSpot. - Familiarity with LLM APIs and AI-powered applications. - Experience working in fast-paced startup environments. - Strong communication skills with the ability to work cross-functionally and take ownership from concept through delivery. Benefits - A fast-paced, collaborative startup culture with high visibility. - Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. - Opportunity to make a meaningful impact in building a company and culture. - Equity in a financial technology startup. - Generous health, dental, and vision coverage for employees and family members + 401K. - Eleven paid holidays and unlimited discretionary vacation days. - Competitive compensation and bonus potential.