Explore 4 python aws developer jobs from 3 hiring companies in Ellenville, NY, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Aws Developer Jobs

The Clearing House

Lockheed Martin

Hybrid

Onsite

Remote

Theclearinghouse

<p><b>Position summary:</b><br />The Clearing House (TCH) is the largest private provider of payments in the United States, moving trillions of dollars every business day. As a hub for the banking and fintech industry, the company is rapidly expanding our traditional products to develop new payment services. A key element of our product strategy is to develop analytics as a core expertise for the organization and to design innovative data-driven solutions for our customers and partners.</p><p></p><p>As a Data Engineer, you will work with a variety of data sets to design, prototype, and deploy analytical models, applications, and data visualizations for both internal users and customers. You will leverage your data engineering skills to transform raw data into analytical and statistical models, deriving meaningful insights and presenting business recommendations based on your results. You will collaborate with cross-functional teams, such as product, technology, operations and risk, to streamline data pipelines and to create automated solutions. You will use innovative technologies, including open-source software, AI and machine-learning libraries, and cloud-native analytics, to build scalable data platforms that automate and enhance the delivery of our new payment services.</p><p></p><p><b>Required Qualifications:</b></p><ul><li>Bachelor’s degree or the equivalent in a scientific or quantitative discipline, such as Mathematics, Engineering, Computer Science, Economics, or Physical Sciences</li><li>5&#43; years of experience or equivalent in the data engineering/science field as a programmer, analyst, engineer or scientist.</li><li>Hands-on development experience using programming languages, ideally Python, with statistical and data visualization libraries, such as pandas and matplotlib.</li><li>Experience with data structures, algorithms and database query languages, such as SQL.</li><li>Familiarity using git code repositories and interactive editors, such as Jupyter notebooks, Sublime or VS Code.</li><li>Familiarity with cloud services for data management and analysis, such as AWS Glue</li><li>Experience managing a variety of large-scale data sets on Linux, Windows or MacOS.</li><li>Excellent writing and presentation skills</li></ul><p></p><p><b>Desired Qualifications:</b></p><ul><li>Infrastructure as code using Terraform. Building and managing cloud infrastructure primarily AWS, writing reusable Terraform modules and collaborating with DevOps and development teams to support scalable, secure and automated deployments. Understanding of cloud services, version control(Git) and CI/CD practices is essential.</li><li>Any graduate-level coursework or degree in a scientific or quantitative discipline, with original research work using statistical methods, analytic models, or quantitative techniques.</li><li>Experience with machine learning concepts, algorithms, and tools, such as Amazon SageMaker</li><li>Experience building data visualizations with business intelligence tools, such as AWS QuickSight or Tableau</li><li>Experience developing Web applications with Java, Typescript and/or front-end UI frameworks, such as React, ideally leveraging real-time streaming events from Kafka or Amazon Kinesis</li><li>An enthusiasm to learn and to teach others</li></ul><p></p><p><b>Essential functions and responsibilities:</b></p><ul><li>As a member of the Innovation and Strategy team, you&#39;ll work with other technology teams, such as Enterprise Architecture and Application Development, as well as with Product Management and other business teams, to develop and execute the firm’s data strategy.</li><li>As a data engineer, you will leverage cloud-based services and other analytic tools to prototype and build applications and data visualizations that other employees, managers and customers will rely on to make more informed business decisions</li></ul><p></p><p><b>Physical demands and work environment:</b><br />Work is generally sedentary in nature. The working environment is generally favorable. Lighting and temperature are adequate, and there are no hazardous or unpleasant conditions caused by noise, dust, etc. Work is generally performed within an office environment, with standard office equipment available.</p><p>Employees in this position will report to the office 2-3 days per week. Onsite work requirements may change at any time.</p><p></p><p><i>The anticipated annual salary range for NY-based candidates for this position is $145,000 - $175,000. Base salary and position level will be determined by the role, experience, skill set and location. For eligible positions, discretionary incentive compensation may be awarded contingent on personal and company performance. Our benefits program includes medical, dental, vision, life insurance, 401k plan with company contribution and company match, tuition reimbursement, parental leave and more.</i></p>

Data Engineer

Bachelor's in a scientific/quantitative field; 5+ years data engineering/analytics; Python with pandas/matplotlib; SQL; Git; cloud services (AWS); large-scale data handling; strong writing/presentation.

<p><b>Position Summary: </b></p><p>This position is for a DevOps Engineer focused on CI/CD tooling for the on-premises and AWS infrastructure. This position will work closely with developers, QC and infrastructure teams to build out our in-house and cloud CI/CD pipelines so that developers can build and deploy applications in a secure manner. This position will also maintain current DevOps tooling at TCH.</p><p></p><p><b>About The Clearing House: </b></p><p>The Clearing House (TCH) is a banking association and payments company that is owned by the largest commercial banks in the United States. TCH owns and operates the core payments system infrastructure in the US and is currently working to modernize that infrastructure by launching a new, ubiquitous, real-time payment system. TCH is the only private-sector ACH and wire operator in the US, clearing and settling nearly $2 trillion in US dollar payments each day, representing half of all commercial ACH and wire volume. TCH has provided critical services to the banking industry since 1853, and today, our core products facilitate services including Direct Deposit of payroll, bill payments, and check image exchange.</p><p></p><p><b>Qualifications Required:</b></p><ul><li>Develop and maintain Ansible playbooks and roles for automated configuration and deployments</li><li>Support infrastructure provisioning and configuration management across environments (dev, QA, staging, production)</li><li>Collaborate with engineering teams to automate repetitive operational tasks</li><li>Help manage CI/CD pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps, GitLab CI)</li><li>Monitor system performance and assist in troubleshooting deployment issues</li><li>Maintain documentation for infrastructure, automation workflows, and deployment processes</li><li>Participate in improving security, scalability, and reliability of systems</li></ul><p></p><p><b>Qualifications desired:</b></p><ul><li>Bachelor’s degree or equivalent professional experience</li><li>Minimum 1 years in a DevOps, with a track record of managing high -traffic production environments</li><li>Initial level proficiency in AWS and/or Azure</li><li>Basic expertise in Docker and Certified Kubernetes skills</li><li>Basic proficiency in Python, Go, or Ruby for creating custom automation tooling and APIs</li><li>Basic understanding of Linux system administration, kernel tuning, and networking protocols (TCP/IP, HTTP/S, DNS)</li></ul><p></p><p><b>Essential Functions and Responsibilities:</b></p><ul><li>Exposure to cloud platforms (AWS, Azure, or GCP)</li><li>Knowledge of Docker or containerization</li><li>Familiarity with Terraform or other IaC tools</li><li>Understanding of YAML/JSON configuration formats</li><li>Experience with monitoring tools (Prometheus, Grafana, etc.)</li></ul><p></p><p><b>Success factors/job competencies:</b></p><p>The successful candidate will have strong technical expertise on a variety of platforms and will be able to contribute to the design, test and implementation of the application. The candidate will need to be detail oriented but also able to understand the overall environment (internally and externally) and interact with and communicate effectively with all levels of the organization and external clients at all levels. The candidate should be a strong team player. The ability to work effectively cross-organizationally and with external clients will be a key factor to success in this role.</p><p></p><p><b>Performance standards:</b></p><ul><li>Complete tasks and projects in a timely manner.</li><li>Demonstrate high levels of professionalism and decorum.</li><li>Demonstrate effective team work.</li><li>Adhere to and support all Tech &amp; Ops and TCH strategic goals.</li><li>Communicate effectively with internal personnel at all levels and with vendors and external clients.</li></ul><p></p><p><b>Physical demands and work environment: </b></p><p>Work is generally sedentary in nature. The working environment is generally favorable. Lighting and temperature are adequate, and there are no hazardous or unpleasant conditions caused by noise, dust, etc. Work is generally performed within an office environment, with standard office equipment available.</p><p></p><p>Employees in this position will report to the office 3 days per week.</p><p>Occasional travel may be required. Onsite work requirements may change at any time.</p>

DevOps Junior Engineer

Develop and maintain Ansible playbooks, support CI/CD across environments, automate tasks, monitor and document infrastructure.

<p style="color: #515151;"><strong>DESCRIPTION</strong></p>
<p style="color: #515151;">Driven by a commitment to research, quality, and service, PDI provides innovative products, educational resources, training, and support to prevent infection transmission and promote health and wellness. Encompassing three areas, our Healthcare, Sani Professional and Contract manufacturing divisions, we develop, manufacture, and distribute leading edge products for North America and the world. We have several locations across the US and are looking for new Associates to join our team! </p>
<p><strong>POSITION PURPOSE</strong><strong> </strong></p>
<p>We are seeking an experienced Senior Digital Engineer who is passionate about creating impact through data, digital systems, and AI. This role enables PDI’s R&D organization by bridging lab instrumentation, data engineering, and machine learning workflows to create integrated, compliant, and scalable digital capabilities.</p>
<p>The Senior Digital Engineer will design and operate systems that collect, structure, process, and use experimental data from R&D labs, resulting in accelerated development, improved decision-making, and reduced manual effort.</p>
<p>The position partners closely with R&D scientists, Quality, IT, and external vendors to ensure instrumentation is connected, data flows are automated, ML workflows are production‑ready, and digital tools support execution across the R&D lifecycle.<strong> </strong></p>
<p><strong>ESSENTIAL FUNCTIONS AND BASIC DUTIES</strong><strong> </strong></p>
<ul>
<li><strong> Lab Instrumentation & Digital Integration</strong>
<ul>
<li>Integrate lab instruments (e.g., chromatography, spectroscopy, automated systems) with digital data environments.</li>
<li>Define structured data capture, metadata schemas, and workflow models at the instrument level to ensure compliance and traceability.</li>
<li>Collaborate with internal lab teams to map experimental workflows and translate them into digital processes.</li>
</ul>
</li>
<li><strong> Data Engineering & Management</strong>
<ul>
<li>Build and maintain data pipelines (streaming + batch) connecting instruments, LIMS/ELN, data lakes, and analytics/ML environments.</li>
<li>Implement and govern master data, metadata, lineage, and catalog standards for lab-originated datasets.</li>
<li>Ensure data quality controls and audit‑ready traceability across experimental data and analytical outputs.</li>
</ul>
</li>
<li><strong>AI/ML Engineering & Analytics Enablement</strong>
<ul>
<li>Develop and maintain ML-ready datasets and reusable feature layers that support R&D modeling, advanced analytics, and automation.</li>
<li>Build core platform capabilities that are scalable, secure, and promote self-service ML infrastructure for scientists and engineers.</li>
<li>Partner with research teams to translate scientific problems into ML workflows; validate model inputs/outputs for correctness.</li>
</ul>
</li>
<li><strong> Workflow Digitization & Process Automation</strong>
<ul>
<li>Partner with R&D Discovery & Innovation, Product Development Delivery, Sustainment & Lifecycle Optimization, and the Project & Performance Office teams to map current workflows end-to-end (inputs, systems, approvals, artifacts).</li>
<li>Digitize experimental workflows, stability/validation processes, and change-control elements using structured schema definitions to decompose technical packages into steps an AI can execute with citations.</li>
<li>Capture validation/stability/release processes (accuracy/precision/linearity/LOQ, OOT rules, spec checks, CoAs) and translate them into checklists, schemas, and templates.</li>
<li>Build templates, SOPs, and checklists to standardize data capture and automate documentation steps.</li>
<li>Integrate workflows into R&D digital platforms (LIMS/ELN, MS Teams, cloud environments).</li>
</ul>
</li>
<li><strong> Compliance, Quality & Data Integrity</strong>
<ul>
<li>Implement compliance-by-design digital processes that align with regulated environment expectations with emphasis on 21 CFR Part 11 and ALCOA+ data integrity requirements.</li>
<li>Ensure audit trails, metadata capture, permissions, and electronic signature routing are robust and inspection-ready.</li>
<li>Maintain interoperability and version control across tools, instruments, and datasets.</li>
</ul>
</li>
<li><strong> Cross-Functional Collaboration & Technical Leadership</strong>
<ul>
<li>Serve as the technical lead for connecting scientific workflows to data/ML infrastructure.</li>
<li>Train scientists on digital tools, data capture best practices, and ML-enabled analysis workflows.</li>
<li>Translate scientific, regulatory, and business requirements into practical, scalable technical solutions.</li>
</ul>
</li>
</ul>
<p><strong>PERFORMANCE MEASUREMENTS</strong></p>
<ul>
<li>Year-over-year increase in number of instrumentation successfully integrated into digital data pipelines</li>
<li>Uptime and reliability of data pipelines, including automated quality controls</li>
<li>Measurable impact (decreased cost, improved quality, shorter time) of platform use activated by R&D associates</li>
<li>Reduction in manual effort across multiple targeted workflows and in compliance deviations related to digital data integrity</li>
<li>User satisfaction and engagement with enablement tools</li>
<li>Consistently identifies and takes responsibility for tasks or issues within their domain without requiring managerial prompting, demonstrated by independently initiating actions within standard R&D workflows</li>
<li>Actively seeks cross-functional opportunities to add value, with documented contributions in adjacent R&D or lab processes</li>
<li>Completes assigned and self-initiated tasks on or ahead of deadline, including full documentation, communication, and handoff</li>
<li>Champions new tools, workflows, or processes with energy by leading various adoption activities (e.g., training sessions, user support, feedback loops, pilot participation)</li>
</ul>
<p><strong>QUALIFICATIONS</strong></p>
<p><strong>EDUCATION/CERTIFICATION</strong></p>
<ul>
<li>BS in a quantitative field: Computer Engineering, Computer Science, Data Science, Bioinformatics, Mathematics, or similar. Advanced degree preferred.</li>
</ul>
<p><strong>REQUIRED KNOWLEDGE</strong></p>
<ul>
<li>Strong hands-on familiarity with laboratory instrumentation and specialized software (Empower, LabWare, OMNIC, etc.)</li>
<li>Proficiency in LIMS/ELN platforms (e.g., IDBS, LabWare)</li>
<li>Data engineering tools: ETL/ELT workflows, data lakes, SQL, Python, cloud platforms (Snowflake/AWS/Azure)</li>
<li>ML engineering skills: model lifecycle support, feature engineering, ML ops, secure model deployment</li>
<li>Demonstrated expertise in analytics visualization tools like Power BI (preferred), Tableau, etc.</li>
<li>Knowledge of regulatory frameworks (21 CFR Part 11, audit trails, data integrity)</li>
</ul>
<p><strong>SKILLS/ABILITIES</strong></p>
<ul>
<li>Strong written and verbal communication skills; capable of presenting complex concepts, digital strategies, and performance insights to technical and non-technical audiences</li>
<li>Ability to structure complex scientific workflows into digital systems</li>
<li>Comfort working in a matrixed environment with engineers, scientists, and quality stakeholders</li>
</ul>
<p><strong>WORKING CONDITIONS</strong></p>
<ul>
<li>Some work on laboratory systems may be required, resulting in a hybrid office and lab environment.</li>
</ul>
<p><strong>SALARY RANGE:</strong></p>
<ul>
<li>$110,000 - $140,000 Annually</li>
</ul>
<p><strong>BENEFITS</strong><strong> </strong></p>
<p><strong>PDI is pleased to offer comprehensive and affordable benefits for our associates, which includes:</strong></p>
<ul>
<li>Medical, behavioral & prescription drug coverage</li>
<li>Health Savings Account (HSA)</li>
<li>Dental</li>
<li>Vision</li>
<li>401(k) savings plan with company match and profit sharing</li>
<li>Basic and supplemental Life and AD&D insurance</li>
<li>Flexible Spending Accounts (FSAs)</li>
<li>Short & long-term disability</li>
<li>Employee Assistance Program (EAP)</li>
<li>Health Advocacy Program</li>
</ul>
<p><strong>PDI also offers many voluntary benefits such as: </strong>Legal services, critical illness, hospital indemnity, accident coverage, ID theft and fraud protection, pet insurance and employee discounts.<strong> </strong></p>
<p><strong>At PDI, we are also committed to helping our associates maintain a healthy and sustainable work/life balance and are proud to provide associates with paid time off programs including:</strong>  sick & safe leave, vacation, company & floating holidays, paid parental leave, and depending on the position we also offer summer hours and flex place/flex time options.</p>

Senior Digital Engineer

BS in a quantitative field; data engineering, ML, lab instrumentation, LIMS/ELN, Python, SQL; 21 CFR Part 11 knowledge; data integrity.

<div><h3>Security Clearance</h3><div>None</div><h3>Shift</h3><div>First </div><h3>Direct/Indirect</h3><div>Indirect </div><h3>Business Area</h3><div>Enterprise Operations </div><h3>Department</h3><div>50168:Data & AI Enablement </div><h3>Relocation/Housing Stipend Available</h3><div>No</div><h3>Job Code/Title</h3><div>E9854:A/AI Mch Learn Engnr Stf </div><h3>Job Class</h3><div>Artificial Intelligence  </div><h3>Job Category</h3><div>Experienced Professional</div><h3>Program</h3><div>EBDT Only</div><h3>Req Type</h3><div>Full-Time</div><h3>Job Description</h3><div>Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation.  The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML engineer to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized and accelerated agentic development and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will help facilitate training and the exploration of cutting-edge technologies.  We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change.<br><br>What You Will Be Doing:<br>In this role, you will work closely with a team of experts in AI, software engineering, and systems development. You will contribute to the development of innovative solutions that support the organization's goals and objectives for information retrieval. You will develop solutions that inform data-driven decision making and help the organization stay ahead of the curve.  You will architect, deploy, and support enterprise scaled services hosted on Cloud and on-premise technologies. This role will provide you with a unique opportunity to learn and grow, mentor, and make meaningful contributions to the team's efforts.<br><br>Who You Are:<br>You are a motivated and enthusiastic AI/ML engineer/full-stack developer with a strong foundation in software engineering, systems development, cloud development and deployment, and AI technologies. You are a self-starter and your work is executed without much direction, you develop solutions to complex problems requiring ingenuity and creativity. You have a growth mindset, are curious and eager to learn about new technologies and solutions and are committed to developing your skills and that of the team, and staying current with industry trends. You're a team player who is able to collaborate effectively with others and is excited about the opportunity to contribute to projects and initiatives that drive innovation and improvement. You're adaptable and able to work in a dynamic and fast-paced environment.<br><br>Further Information About This Opportunity:<br>US Citizenship is required for this role due to program requirements and system access.</div><h3>Basic Qualifications</h3><div>•Proven full-stack software development experience. Advanced/senior coding/development experience with Python (advanced proficiency, can mentor others)<br>•Demonstrated experience with architecting and maintaining Information Retrieval and Sematic discovery systems<br>•Proven Experience with cloud platforms (e.g. AWS) deploying applications on cloud-based platforms and containerization (e.g., Docker, Kubernetes)<br>•Experience handling the entire life cycle of an AI-powered application.  Experience managing cloud deployments and MLOps to keep systems running. Experience with LLMs and/or Generative AI. Demonstrated experience with API design and specifications (REST/OpenAPI, JSON/JSON-Schema). You’ve built and managed APIs and back-end systems<br>•Demonstrated experience maintaining/managing github/gitlab projects with multiple developers on it<br>•Demonstrated strategic use of GenAI Coding Assistants<br>•US Citizenship is required due to program requirements and system access<br>•Bachelor’s degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field or equivalent education/experience<br><br>#EBDT</div><h3>Desired skills</h3><div>• Practical experience with production level LLM Tool Calling workflows<br>• Proven design and delivery experience in API Development & Integration<br>• Proven Experience setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or OpenShift pipelines)<br>• Data engineering experience including designing/deploying/maintaining ETLs, and creating/managing RDS<br>• Production level Information retrieval and semantic data discovery development experience (e.g. Experience with Vector Databases, k-NN, and Semantic Search)<br>• Advanced proficiency in at least two other languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages.<br>• Expertise and strategic use of GenAI Coding Assistants<br>• Experience with agent development using various agentic tools and frameworks. Experience with autonomous workflows, Agentic devOps, and the Agentic development Lifecycle<br>• Excellent communication and liaison experience with external technical partners, customers, and cross‑functional stakeholders.<br>• Experienced in agile development methodologies and version control systems (e.g., Git)<br>• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field</div><h3>State</h3><div>Connecticut, Florida, Maryland, New Jersey, New York, Pennsylvania, Texas</div><h3>Virtual</h3><div>yes</div><h3>City</h3><div>Bethesda, Grand Prairie, King of Prussia, Moorestown, Orlando, POUGHKEEPSIE, Stamford</div><h3>Zip</h3><div>06903, 08057, 12602, 19406, 20817, 32825, 75051</div><h3>EEO</h3><div><strong>Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.</strong><br><strong>The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.</strong></div><h3>*</h3><div>At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. <br> <br>With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.<br><br>If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on <a href="https://www.lockheedmartinjobs.com/">Lockheed Martin Jobs</a>, and apply for roles that align with your qualifications.</div><h3>City, State</h3><div>Bethesda-MD, Grand Prairie-TX, King of Prussia-PA, Moorestown-NJ, Orlando-FL, POUGHKEEPSIE-NY, Stamford-CT</div><h3>Ability to Telecommute</h3><div>Full time telecommuter</div><h3>Other Important Information</h3><div>By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match.  Should this match be identified you may be contacted for this and future openings.</div><h3>Ability to work remotely</h3><div>Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.</div><h3>Work Schedule Information</h3><div>Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees.  Schedules range from standard 40 hours over a five day work week while others may be condensed.  These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.</div><h3>Work Schedule</h3><div>4x10 hour day, 3 days off per week </div><h3>Select the Telework classification for this position</h3><div>Employee that will telework full-time </div><h3>National Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $132,900  - $234,370. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. <br>(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.<br>This position is incentive plan eligible.</div><h3>Premium Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $152,900  - $264,960. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.<br>This position is incentive plan eligible.</div></div>

AI Full Stack Engineer (Info Retrieval)

AI Full Stack Engineer

Full-stack software engineer with AI/ML, information retrieval, cloud, and API experience; US citizenship required.

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