Lead Developer with eight to ten years of experience responsible for driving design development and optimization of enterprise applications built on ASP NET and the NET framework.
Responsibilities
Lead end to end design and development of complex enterprise applications using ASP NET and NET framework
Drive high quality coding practices and enforce robust engineering standards
Coordinate with product owners and functional partners to translate procure to pay payroll and finance and accounting requirements into clear technical specifications
Guide the selection and application of NET technologies and patterns to build modular services and user interfaces
Oversee code reviews peer feedback and technical validation activities
Design, build, test, deploy, and support scalable data pipelines and data products on Azure Databricks.
Responsibilities
Design, build, test, deploy, and support scalable data pipelines and data products on Azure Databricks.
Develop ingestion and transformation processes for data from on-premises, cloud, SaaS, and third-party sources using batch and, where appropriate, streaming patterns.
Use SQL and Python or PySpark to transform, validate, and optimize large and complex datasets.
Design and maintain reusable data structures across raw, refined, and curated layers, applying dimensional modeling and star schema principles where appropriate.
Build reliable Delta Lake solutions and apply Databricks capabilities for orchestration, performance, observability, and data quality.
Requirements
Bachelor’s degree in technology, engineering, computer science, or a related field, or an equivalent combination of education and experience.
Collaborate with business stakeholders to understand business needs and translate them into clear functional and non-functional requirements and technical solutions.
Design, develop, and maintain data models, data mappings, and transformation logic to enable seamless integration between source and target systems.
Build, test, and maintain ETL/ELT processes and data pipelines on AWS, ensuring data accuracy, reliability, and timely availability.
Develop and optimize SQL queries for data analysis, validation, and troubleshooting across relational databases.
Leverage Python to process, validate, query, and automate data workflows.
Consultant to migrate contact data from Airtable to EveryAction CRM, including assessment, mapping, migration, QA, documentation and post‑migration support.
Responsibilities
Assess data quality and prepare for migration
Map Airtable fields to EveryAction fields and codes
Develop and execute migration plan with testing and security
Design, implement, and maintain robust, well-tested software across the entire development lifecycle to mitigate a full range of external and internal access-related security risks within Search.
Design, implement, and maintain robust, well-tested software across the entire development lifecycle to mitigate a full range of external and internal access-related security risks within Search.
Contribute to the codebase by authoring technical design documents, participating in code reviews, and driving debugging and testing efforts to ensure high system reliability.
Translate the team's high-level goals into actionable tasks, and align your daily work with quarterly objective and key results (OKRs) to deliver on project milestones alongside peer engineers, T/PgMs, and other stakeholders.
Foster a collaborative, and safe environment by communicating effectively and supporting your peers, while bringing the AI fluency expected to your daily engineering workflows.
Be prepared to discuss the knowledge and use of AI tools during the hiring process with fluency in AI.
Requirements
Bachelor’s degree or equivalent practical experience
Nice to have: Master's degree or PhD in Computer Science or related technical fields
Senior Software Engineer – hands‑on technical contributor in 7‑Eleven’s Marketing Technology organization, responsible for designing, building, and operating backend services, APIs, and integrations that power personalized, cross‑channel customer experiences.
Responsibilities
Design, build, test, and operate backend services, APIs, and integrations supporting personalization, campaign activation, and content delivery across MarTech channels.
Implement and maintain integrations across the MarTech stack (e.g., Salesforce Marketing Cloud, Contentstack, Databricks/Hightouch, Kafka event streams) to enable real‑time, event‑driven experiences.
Contribute to the orchestration/activation layer that consumes models, rules, and audiences and delivers consistent decisions to owned and paid channels.
Partner with data engineering and data science to operationalize model outputs and customer attributes for use in production decisions.
Ensure engineering quality through code reviews, automated testing, CI/CD, observability, and adherence to security, privacy, and compliance requirements.
Build and operate Databricks and Unity Catalog platform infrastructure for the Commercial Data & AI team.
Responsibilities
Build, configure, and operate Databricks and Unity Catalog platform components supporting the team's data products
Manage cloud engineering tasks for the platform, including provisioning, cost management, and performance tuning of the underlying cloud infrastructure
Coordinate with Enterprise IT on systems integration and feature enablement, supporting rollout of new platform capabilities to the team
Partner with Enterprise IT and the team's data architects on platform architecture standards, ensuring configuration stays aligned with enterprise-wide direction
Support platform reliability and security by implementing access controls, monitoring, and configuration management for the Databricks environment
A highly experienced, security-cleared technical role to design, develop, and optimize Oracle database solutions, data pipelines, and AI-enabled data platforms for enterprise-scale mission systems in an IC program environment.
Compensation
US: Hiring Range in USD from: $102,300 to $209,500 per annum. May be eligible for bonus and equity.
Responsibilities
Design, develop, and optimize Oracle database solutions, data pipelines, and AI-enabled data platforms for enterprise-scale mission systems.
Work with customer stakeholders, architects, data scientists, and database administrators to translate complex requirements into secure, reliable, and high-performing solutions.
Handle complex data engineering challenges in high-volume environments.
Requirements
Bachelor’s degree in Computer Science
Information Systems
Engineering
related discipline
Nice to have: Intelligence Community (IC) or federal mission systems experience
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