6 Python jobs

Amazon Web Services, Inc. seeks a Controls Deployment Engineer to design, automate, and deploy security and governance controls across large-scale AWS environments. You will codify controls using Terraform/CloudFormation, integrate them into CI/CD pipelines, and partner with security, compliance, and platform teams to embed guardrails into new and existing workloads. You'll analyze telemetry, optimize control performance, support audits, and document patterns that raise the security and reliability bar. This role suits engineers who thrive in a fast-paced, customer-obsessed culture and enjoy solving complex cloud-scale challenges. Responsibilities Design and deploy automated security and governance controls on AWSImplement controls as code using Terraform or Cloud Formation Integrate controls into CI/CD pipelines for consistent deployment Collaborate with security, compliance, and platform teams on control strategy Monitor, test, and tune controls using logs and metrics Support audits and compliance evidence gathering Develop documentation, runbooks, and reference architectures Continuously improve control coverage, performance, and reliability Required Skills AWS services (IAM, Cloud Trail, Config, Guard Duty) Infrastructure as Code (Terraform/Cloud Formation) CI/CD pipelines (Code Pipeline, Jenkins, Git Hub Actions) Python or similar scripting Cloud security and compliance (SOC2, ISO 27001) Monitoring and logging (Cloud Watch, SIEM) Linux administration Networking and VPC design Version control with Git Automation and orchestration tools

Delta Defense seeks a Data Engineer to build and optimize data pipelines powering analytics for USCCA's membership, marketing, and customer care operations. You'll design and maintain scalable ETL processes, integrate data from digital platforms and business systems, and ensure accuracy, security, and usability of datasets for analysts and business stakeholders. Partner closely with analytics, marketing, and operations teams to deliver reliable data models, dashboards, and reporting that support performance, member engagement, and mission-driven decision making in a fast-growing, learning-focused culture. Responsibilities Design, build, and maintain scalable ETL/data pipelines from diverse internal and external sources. Develop and optimize data models and warehouse structures to support analytics and reporting needs. Ensure data quality, consistency, and governance across member, marketing, and operations datasets. Collaborate with analytics, marketing, and operations teams to understand requirements and deliver data solutions. Build and maintain data integrations and APIs feeding dashboards, reports, and self-service tools. Monitor pipeline performance, troubleshoot issues, and implement improvements for reliability and scale. Implement security and privacy best practices for sensitive member and business data. Document data flows, schemas, and processes to support transparency and continuous learning. Required Skills SQLPython ETL pipeline development Data warehousing (e.g., Snowflake/Redshift/Big Query) Cloud platforms (AWS/Azure/GCP) Data modeling (star/snowflake schemas) Dashboarding/BI tools (e.g., Power BI/Tableau/Looker) Version control (Git) Data quality and validation API and batch data integration

Daniel Defense LLC seeks an Operations Systems Engineer to support and enhance manufacturing and business systems in our Georgia firearms facilities. You will configure, integrate, and troubleshoot MES/ERP and related shop-floor applications, ensuring data integrity, uptime, and secure connectivity between production equipment and enterprise systems. Responsibilities include requirements gathering from operations teams, implementing system changes, writing queries and reports, documenting procedures, and coordinating with IT and engineering. You'll help drive quality, throughput, and continuous improvement in a fast-paced, mission-focused, American-made manufacturing environment. Responsibilities Configure, maintain, and support MES/ERP and operations systems for manufacturing Integrate shop-floor equipment and data flows with enterprise systems Troubleshoot system, interface, and data integrity issues impacting production Gather requirements from manufacturing, quality, and operations stakeholders Develop queries, dashboards, and reports to support decision-making Document system configurations, procedures, and change history Collaborate with IT, engineering, and production on system improvements Support system upgrades, testing, and deployment in live environments Monitor performance and implement optimizations for reliability and uptime Ensure adherence to security, safety, and quality standards in all systems work Required Skills Manufacturing execution systems (MES) ERP systems (e.g., SAP, Oracle) Systems integration SQL and database querying Industrial networking (Ethernet/IP, Modbus) SCADA/HMI exposure Windows/Linux server administration Scripting or automation (Power Shell, Python) Data analysis and reporting Change management and documentation

Year Up is seeking an Entry Level Application Developer to join our innovative Information Technology team. This unique position offers the opportunity to integrate technical skills with a meaningful mission in an educational setting. As part of our IT & Data Management department, the successful candidate will be integral to supporting our academic programs and services through the development and maintenance of application solutions. The developer will collaborate extensively with educational staff to understand and meet their technology needs, enhancing both faculty and student experiences. Responsibilities Develop, test, and implement application solutions tailored to the needs of educational staff and students. Work closely with the IT team and various internal stakeholders to define system requirements and customize software applications accordingly. Provide technical support and troubleshooting for applications within the organization. Document all phases of software development including design, testing, and deployment. Participate in continuous learning to stay current with industry and educational technology trends. Assist in training staff and students on the use of new technologies and applications. Required Skills Proficient in several programming languages such as Java, Python, or Java Script. Strong understanding of database management and software development life cycles. Ability to communicate effectively with non-technical staff to gather requirements and deliver solutions. Foundational knowledge of web development frameworks and user interface design.

Avanos Medical seeks an Associate Director IT Global Data Analytics, Innovation & Digital Experimentation to lead data strategy across our global medtech business. In this role, you will define and deliver advanced analytics, AI/ML, and data engineering solutions that optimize clinical, commercial, and operational decisions. You will own the data experimentation roadmap, partner with business and clinical leaders to identify high value use cases, and oversee end to end project delivery. Responsibilities include managing a technical team, governing data platforms, ensuring data quality, and championing innovation while maintaining security, privacy, and regulatory compliance in a patient-focused environment. Responsibilities Lead global data analytics and digital experimentation strategy for Avanos Medical Identify, prioritize, and deliver high-value analytics and AI/ML use cases across business functions Oversee design and implementation of data platforms, pipelines, and governance frameworks Manage and mentor a technical team of data engineers, scientists, and analysts Ensure data quality, integrity, security, and regulatory compliance in a healthcare context Partner with clinical, commercial, and operations leaders to translate needs into technical solutions Drive experimentation frameworks (A/B testing, pilots, POCs) to validate data-driven initiatives Report performance, insights, and ROI of analytics programs to senior leadership Collaborate with IT and cybersecurity to maintain resilient, scalable data infrastructure Champion a culture of innovation, continuous improvement, and patient-focused decision-making Required Skills Data analytics strategy Data engineering (ETL/ELT, data pipelines) Cloud data platforms (AWS, Azure, or GCP) SQL and relational databases Python or R for analytics and data science Machine learning and AI concepts BI and data visualization tools (Tableau, Power BI, etc.) A/B testing and experimentation frameworks Data governance, security, and privacy (including healthcare context) Project and stakeholder management Statistical analysis and modeling Data architecture and warehousing