Explore 2 python aws developer jobs from 2 hiring companies in Drexel, NC, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Aws Developer

Morganton

Valdese

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Python Aws Developer Jobs

Financial Independence Group

General Motors

Hybrid

Remote

<p><b>Job Description</b></p><h2><b>The Role</b></h2><div>We are seeking a <b>Senior Data Engineer</b> to join our <b>Motorsports Data Engineering team</b>, building next-generation data platforms that power high-performance racing programs across Formula 1, NASCAR, IndyCar, IMSA, and beyond.</div><div></div><div>This role is responsible for designing, building, and operating scalable, real-time and batch data pipelines that ingest high-frequency telemetry, simulation, wind tunnel, and trackside data into our enterprise data platform. You will work at the intersection of cloud architecture, streaming systems, and performance analytics — enabling engineers, strategists, and race teams to make faster, data-driven decisions.</div><div></div><div>As a senior member of the team, you will own critical components of our Kafka/Flink streaming architecture, Databricks lakehouse implementations, and infrastructure-as-code deployments. You will collaborate cross-functionally with race engineering, software development, operations, and external technical partners to ensure resilient, secure, and high-performance data delivery across environments.</div><div></div><div>This is a hands-on engineering role requiring deep technical expertise, architectural thinking, and a strong sense of ownership.</div><div></div><h2><b>What You’ll Do</b></h2><ul><li><div>Develop data pipelines using Python, Java, and SQL among other tools and technologies.</div></li><li><div>Update existing software and/or develop new software solutions to address a specific need or solve a particular business problem.</div></li><li><div>Contribute to development in accordance with appropriate methodologies and application of a repeatable, systematic, and quantifiable approach.</div></li><li><div>Identify and remediate software issues related to code quality, security, patterns, frameworks, software usability, or end user related issues.</div></li><li><div>Develop your skills by working closely with peers to ensure code alignment with design patterns and frameworks.</div></li><li><div>Integrate with other applications and systems.</div></li><li><div>Automate unit and end-to-end testing of software systems within their domain, focused on software quality and maintainability.</div></li><li><div>Provide guidance and mentoring of fellow software developers.</div></li><li><div>Performance tuning, usability assessment, performance improvement, documentation, and ensuring high technical standards are met.</div></li><li><div>Proficiency in build/release automation solutions.</div></li></ul><div></div><h2><b>Your Skills &amp; Abilities (Required Qualifications)</b></h2><ul><li><div><b>Minimum 5 years</b> of professional <b>software development</b> experience.</div></li><li><div>Proficient in <b>Python</b> and or <b>Java</b>.</div></li><li><div>Experience with event streaming/message broker technologies like <b>Kafka, Event Hubs</b>, or <b>Confluent.</b></div></li><li><div>Experience with <b>AWS</b> and/or <b>Azure</b> cloud infrastructure.</div></li><li><div>Experience deploying, maintaining, supporting containerized applications using technologies like <b>Docker/Kubernetes.</b></div></li><li><div>Experience with <b>SQL</b> and <b>NoSQL</b> database technologies like <b>Postgres, Mongo DB </b>and <b>Redis.</b></div></li><li><div>Experience writing maintainable, testable, and reusable code.</div></li><li><div>Experience with <b>Agile development </b>methodologies.</div></li><li><div>Strong background in software development lifecycle.</div></li><li><div>Experience with networking and client-server communication <b>(REST, web sockets, gRPC</b>, server-sent events).</div></li><li><div>Delivering highly scalable, web-based systems, that can support high transaction volumes.</div></li></ul><div></div><h2><b>What Will Give You a Competitive Edge (Preferred Qualifications)</b></h2><ul><li><div>Bachelor&#39;s degree in computer science or similar discipline.</div></li><li><div>Self-starter and quick learner who understands and can adapt to existing software applications.</div></li><li><div>Previous IT <b>experience within motorsports</b>.</div></li><li><div>Experience working with streaming telemetry or timing-based metrics.</div></li></ul>&amp;#xa;&amp;#xa;GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).&amp;#xa;&amp;#xa;This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.&amp;#xa;&amp;#xa;This job may be eligible for relocation benefits.&amp;#xa;&amp;#xa;<p><b>About GM</b></p><p>Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.</p><p></p><p><b>Why Join Us</b> </p><p>We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.</p><p></p><p><b>Benefits Overview</b></p><p>From day one, we&#39;re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <a target="_blank" href="https://search-careers.gm.com/en/working-at-gm/total-rewards"><span class="emphasis-3"><b>Total Rewards resources</b></span></a>.</p><p></p><p><b>Non-Discrimination and Equal Employment Opportunities (U.S.)</b></p><p>General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.</p><p></p><p>All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. </p><p></p><p>We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <a target="_blank" href="https://search-careers.gm.com/en/how-we-hire"><span class="emphasis-3"><b>How we Hire</b></span></a>.</p><p></p><p><b>Accommodations</b></p><p>General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <a target="_blank" href="mailto:Careers.Accommodations&#64;GM.com"><span class="emphasis-3"><b>email</b></span></a><b> </b>us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.</p><p></p>

Senior Data Engineer - GM Motorsports

Data Engineer

5+ years software development; Python/Java; Kafka; AWS/Azure; Docker/Kubernetes; SQL/NoSQL; Agile; REST/gRPC; strong SDLC.

<p><strong>WHO WE ARE:</strong></p><p>Financial Independence Group (FIG) is one of the nation’s largest Finance and Insurance Marketing Organizations (FMO &amp; IMO) in the country, partnering with thousands of financial professionals in all 50 states. FIG seeks to expand the availability of financial products and services to financial professionals and ultimately the clients and families they serve. This is accomplished through robust product offerings, innovative marketing, and cutting-edge technology.  </p><p>Interested in learning more? <a href="http://www.figmarketing.com/about/careers/">Click here</a> to find out what it’s like to work at FIG.    </p><p><strong>ABOUT THE TEAM:</strong></p><p>FIG’s <strong>AI &amp; Analytics Team</strong> is advancing the next generation of intelligent capabilities across the organization. We combine state‑of‑the‑art machine learning, modern data engineering, and agent‑driven automation to enhance how FIG supports advisors, strengthens operations, and accelerates strategic decision‑making.  </p><p>We operate in a fast‑paced, collaborative, and experimentation‑friendly environment. Our team partners cross‑functionally with technology, operations, and business leaders to develop AI systems that deliver measurable impact, ranging from predictive models and enterprise automations to retrieval‑augmented assistants and large‑scale generative AI solutions.  </p><p>Innovation, iteration, and continuous improvement are core to how we work. We build, test, refine, and deploy AI capabilities that push boundaries and elevate FIG’s intelligence ecosystem. As we scale the use of AI across the business, we also uphold strong governance, responsible‑use standards, and transparency to ensure our systems remain safe, ethical, and high‑trust.  </p><p><strong>YOUR ROLE:</strong></p><p>As a <strong>Senior Machine Learning/AI Engineer</strong>, you play a critical role in architecting, building, and operationalizing FIG’s next generation of intelligent systems. You will develop production‑grade machine learning models, generative AI capabilities, and automated workflows that support advisors, enhance internal operations, and drive organizational efficiency.  </p><p>You will:  </p><ul>  <li>Design, build, and deploy machine learning models and      AI systems at scale.  </li><li>Develop LLM‑powered applications, including RAG      pipelines, agent workflows, and automated decision‑support tools.  </li><li>Collaborate with cross‑functional partners to translate      business needs into technical AI solutions.  </li><li>Work closely with data engineering to ensure strong      data availability, quality, and ML readiness.  </li><li>Mentor engineers and analysts, guiding best practices      in MLOps, model development, and responsible AI.  </li><li>Implement monitoring, observability, and model      governance frameworks.  </li><li>Maintain high standards for security, safety, and      compliance aligned with FIG’s AI governance.  </li><li>Evaluate new models, tools, and frameworks to      continuously expand FIG’s AI capabilities.  </li><li>Present recommendations, insights, and solution designs      to technical and non‑technical stakeholders. </li></ul><p><strong>WHY YOU ARE THE RIGHT PERSON:</strong>  </p><ul><li>You thrive in a fast‑paced, highly collaborative environment.   </li><li>You are a builder at heart—creative, curious, and excited by solving complex technical problems.   </li><li>You blend strong engineering fundamentals with practical ML/AI expertise.   </li><li>You understand how to design models that solve real business problems and scale effectively.   </li><li>You are passionate about mentorship and leveling up the technical skillsets around you.   </li><li>You communicate clearly and can explain complex concepts to non‑technical audiences.   </li><li>You bring a forward‑thinking mindset, constantly seeking opportunities to innovate and automate.   </li><li>You embrace iteration and continuous improvement in everything you build.   </li><li>You believe in responsible AI and understand the importance of governance, safety, and human oversight.</li></ul><p><strong>WHAT YOU BRING:</strong>  </p><p>&nbsp;Technical Skills</p><ul><li>Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit‑learn).   </li><li>Experience building and deploying machine learning models into production environments.   </li><li>Hands‑on experience working with large language models (LLMs), transformers, vector databases, embeddings, and retrieval‑augmented generation (RAG).   </li><li>Ability to design end‑to‑end AI pipelines from data ingestion and feature engineering to training, evaluation, deployment, and monitoring.   </li><li>Familiarity with prompt engineering, fine‑tuning, and model optimization techniques.   </li><li>Experience implementing MLOps workflows and tools (MLflow, Databricks, Weights &amp; Biases, SageMaker, AgentCore or similar).   </li><li>Knowledge of agent frameworks (Strands, LangChain, Semantic Kernel, CrewAI, AutoGen).   </li><li>Knowledge of cloud technologies (AWS preferred), containerization and orchestration.  </li><li>Strong SQL skills and comfort working with modern data platforms (e.g., Snowflake, Redshift, BigQuery, Synapse).   </li><li>Experience deploying APIs, microservices, and distributed systems.</li></ul><p>&nbsp;Analytical Skills</p><ul><li>Ability to evaluate model performance, identify failure modes, and optimize for accuracy, fairness, and reliability.   </li><li>Strong critical‑thinking skills paired with creativity in designing AI‑driven solutions.   </li><li>Experience conducting exploratory analysis, model experimentation, and error analysis.   </li><li>Ability to balance technical excellence with practical business impact.</li></ul><p>&nbsp;Business &amp; Communication Skills</p><ul><li>Ability to translate business needs into scalable AI solutions.   </li><li>Experience partnering with cross‑functional teams across engineering, data, operations, and leadership.   </li><li>Strong communication skills with the ability to present complex concepts clearly.   </li><li>Ability to mentor, guide, and influence teammates and stakeholders.</li></ul><p><strong>Bonus Experience (Nice to Have)</strong></p><ul><li>Experience in financial services, insurance, wealth management, or other regulated industries.   </li><li>Prior involvement in AI governance, responsible AI frameworks, or risk assessments.   </li><li>Experience contributing to data governance, metadata management, or model lineage documentation.   </li><li>Familiarity with experimentation frameworks, A/B testing, or statistical modeling.   </li><li>Working knowledge of reinforcement learning, recommendation systems, or advanced NLP techniques.</li></ul>

Sr. Machine Learning/AI Engineer

Machine Learning/AI Engineer

Production ML/AI modeling, LLMs, MLOps, Python, cloud data pipelines, cross-functional collaboration, mentorship.

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