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Python Data Engineer Jobs

ABC Fitness

Amazon

Hybrid

Onsite

Join ABC Fitness and become part of a culture that’s as ambitious as it is authentic. Let’s transform the future of fitness—together!Our ValuesBest LifeWe believe great work begins with great people. That’s why our culture is built on respect, trust, and belonging. We create an inclusive environment where every team member can bring their authentic self to work—because diverse perspectives drive innovation and meaningful impact.Growth MindsetWe are doers, thinkers, and dreamers. At ABC Fitness, your growth is our investment. Through continuous learning, mentorship, and professional development opportunities, we empower you to reach new heights—personally and professionally.One TeamFrom day one, you’ll be part of a team that collaborates, celebrates, and cares. We move fast, support one another, and have fun along the way. Because when you thrive, we all thrive.About the RoleABC Fitness is seeking an AI Security Intern to support both our Product Security and Corporate Security teams. This internship focuses on leveraging artificial intelligence and automation to improve security across our SaaS products and internal enterprise systems.You’ll work on real-world cybersecurity challenges while exploring how AI can enhance detection, risk analysis, and security operations.What You’ll Do<ul><li>Assist in building AI-driven tools for secure code review and vulnerability detection</li><li>Support automation of security workflows and alert triage</li><li>Explore AI use cases in phishing detection, insider risk, and anomaly detection</li><li>Research emerging AI security technologies and build proof-of-concepts</li><li>Collaborate with engineers, DevOps, and IT teams on security initiatives</li></ul>What We’re Looking For<ul><li>Currently pursuing a degree in Cybersecurity, Computer Science, Engineering, Data Science, or related fields.</li><li>Basic understanding of cybersecurity principles (OWASP, threat modeling, incident response, etc.)</li><li>Experience with Python or another scripting language</li><li>Interest in AI/ML or large language models</li><li>Strong problem-solving and communication skills</li></ul> Location : TX Frisco 2600 North Dallas ParkwayPlease note that the salary information shown below is a general guideline only and based on employees in the United States and may be different in other countries. Salaries are based upon candidate experience, qualifications, and location, as well as market and business considerations. Our pay for U.S. based candidates for this position is $25.00 USD hourly. Your recruiter can share more about the specific salary range for the job location during the hiring process. Also, certain positions are eligible for additional forms of compensation such as bonuses and commissions.WHAT’S IN IT FOR YOU:<ul><li>Purpose led company with a Values focused culture – Best Life, One Team, Growth Mindset </li><li>A fast-growing &amp; fast-paced start-up culture prime for the picking. It’s a vibe! </li><li>And more! </li></ul>Work Authorization: We cannot offer employer sponsorship at this time; candidates must be eligible to work in the US for full-time employment.At ABC Fitness, we don’t just build technology—we build communities and transform lives. Your work matters here, your growth is supported, and your voice is heard. We welcome diverse talent and encourage you to apply, even if you don’t meet every requirement.ABC’S COMMITMENT TO DIVERSITY, EQUALITY, BELONGING AND INCLUSION:  ABC is an equal opportunity employer committed to diversity, equity, and inclusion. We strive to create a workplace where every employee, client, and partner feels valued, inspired, and empowered to reach their full potential. For us, inclusion isn’t just the right thing to do—it’s a business imperative. Learn more at abcfitness.comAbout ABC FitnessABC Fitness is the #1 software provider for fitness businesses of any size, all around the world. Supporting 30K clubs, 650K coaches, 40M members, and processing more than $12B in payments every year, ABC Fitness provides scalable, data-driven solutions to simplify club management and engage members and clients.From personal trainers, boutique studios, and gyms, to international franchise health clubs, ABC Fitness will move your business forward through technology and industry insights. Innovation is at the center of everything we do, across ABC Glofox, ABC Ignite, ABC Trainerize, and ABC Evo. Let&#39;s make your fitness vision a seamless reality, together. Learn more at abcfitness.com#LI-REMOTE

AI Security Intern

Pursuing degree in cybersecurity, CS, engineering, data science or related field; basic cybersecurity knowledge; Python or scripting experience; interest in AI/ML; strong problem-solving and communication skills.

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.Role SummaryThe Manager, AI &amp; Emerging Technology Risk is a client-facing consulting leader who combines AI engineering and solution architecture with deep understanding of Risk functions (e.g., operational risk, model risk management, compliance, fraud/financial crime, credit risk, and enterprise governance). The role leads engagements to design, develop, and deploy production-grade AI/GenAI solutions that are secure, auditable, and aligned to regulatory expectations—while advising executives and technology teams on risk-by-design operating models, controls, and governance. The Manager partners with client engineering, data, and risk stakeholders to translate business and control requirements into implementable architectures, drive delivery from prototype to production, and operationalize monitoring and governance across data, models, and platforms.Key ResponsibilitiesAI Engineering &amp; GenAI Solution Delivery (Risk Use Cases)<ul><li>Design and implement AI/GenAI solutions for Risk use cases (e.g., risk intelligence, control testing, issue management, fraud detection, regulatory response) across data ingestion, feature engineering, model development, evaluation, and deployment</li><li>Engineer secure reference architectures for AI platforms (cloud, data/feature stores, model registry, vector databases, API gateways) including GenAI patterns (RAG, tool use, agents) with embedded guardrails for access, prompt/data leakage, isolation, and resilience</li><li>Operationalize Responsible AI and Model Risk practices through measurable tests (bias/fairness, robustness, explainability), documentation (model cards, data sheets), human-in-the-loop design, and continuous monitoring/drift management</li></ul>Risk Governance, Controls &amp; Regulatory Alignment <ul><li>Translate Risk requirements into technical control objectives and implementation details across the AI lifecycle (data, model, platform, SDLC), including evidence collection and audit-ready traceability</li><li>Map AI/GenAI risks and controls to enterprise risk management (ERM) and technology risk frameworks, coordinating with Model Risk, Compliance, Privacy, and Security teams to meet policy and regulatory expectations</li><li>Design and implement AI governance operating models (intake, use-case classification, approval gates, RACI, and exception handling) that integrate with SDLC/MLOps release processes for both ML and LLM-based systems</li></ul>MLOps/LLMOps, Platform Engineering &amp; Production Deployment <ul><li>Partner with client engineering and data teams to design end-to-end system flows (APIs, eventing, data pipelines) and integrate AI services into Risk platforms and workflows</li><li>Build and assess MLOps/LLMOps practices including CI/CD, infrastructure-as-code, automated testing/evaluation, model/Prompt/versioning, and release gates aligned to Risk and control requirements</li><li>Identify gaps in production readiness for AI systems (observability, drift/quality monitoring, secrets management, throughput/latency, failover, and incident response) and implement pragmatic remediation patterns</li></ul>Advisory &amp; Enablement<ul><li>Lead client workshops, discovery sessions, and design reviews to align Risk stakeholders and engineering teams on target-state AI/GenAI architectures and delivery approach</li><li>Develop risk-focused training materials and deliver enablement sessions for technical and non-technical audiences, including executive briefings</li><li>Coach and develop junior team members, providing technical oversight and quality control across AI engineering, governance, and risk deliverables</li><li>Produce high-quality client deliverables (risk assessments, architecture patterns, implementation roadmaps, and executive summaries) with clear recommendations, trade-offs, and implementation steps</li><li>Support engagement management by helping scope workstreams, define milestones, manage stakeholder expectations, and ensure on-time delivery and quality</li><li>Contribute to business development through proposal writing, solution positioning, and creation of reusable assets (playbooks, accelerators, reference architectures) for Risk-focused AI offerings</li></ul>Experience, Skills &amp; Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, or related field (or equivalent practical experience)</li><li>5–7&#43; years of experience delivering production technology solutions, with meaningful depth in AI/ML or GenAI engineering and experience in risk, compliance, audit, or other regulated environments</li><li>Job relevant certification (i.e. Azure, Aws, or AI certifications)</li></ul>Preferred Qualifications<ul><li>Hands-on experience with modern ML/GenAI stacks (e.g., Python, model development frameworks, embedding/RAG workflows) and the ability to design for evaluation, safety, and controllability</li><li>Experience engineering and/or assessing AI platforms on cloud infrastructure, including IAM, encryption/secrets management, network controls, data governance/lineage, and environment segregation</li><li>Strong software engineering fundamentals: APIs and service design, data pipelines, testing, code review, CI/CD, and operating production services</li><li>Ability to translate architecture decisions into Risk impacts (control effectiveness, regulatory exposure, third-party risk, operational resilience) and define concrete technical mitigations</li><li>Consulting delivery skills: requirements elicitation, workplan development, facilitation, and managing dependencies across client teams</li><li>Experience producing model/GenAI governance artifacts (validation support, testing results, lineage, change logs) and partnering with Model Risk and audit stakeholders through approvals</li><li>Executive-ready communicator with experience translating technical concepts into clear business and Risk narratives, influencing stakeholders, and presenting recommendations to senior leadership</li></ul>At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at <a target="_blank" href="https://rsmus.com/careers/working-at-rsm/benefits">https://rsmus.com/careers/working-at-rsm/benefits</a>.All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at <a target="_blank" href="mailto:careers&#64;rsmus.com">careers&#64;rsmus.com</a>.RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please <a target="_blank" href="https://rsmus.com/content/dam/rsm/careers/pdf/rsmus_pre-employment-background_checks.pdf">click here</a> for additional information.At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.Compensation Range: $101,000 - $203,000<div><div><div><div><div><div><div><div><div><div><div><div><div><div>Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.</div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Manager, Technology Risk Consulting - AI and Emerging Technology Risk

Manager

5–7 years delivering production technology solutions with AI/ML or GenAI; risk/compliance experience; degree in CS/Engineering/Data Science; relevant certifications.

<h3>Description</h3><div>Are you an innovative, collaborative, and organized leader who wants to be part of world-class fulfillment centers and logistics systems across the globe? Do you want a high level of driving ownership to develop mechanisms that solve complex problems? Does the challenge of standardizing ambiguous programs and processes appeal to you? If so, we have a job for you! Global Engineering Services (GES) division North American Operations Engineering (NA Ops Eng) is searching for an innovative and solutions-oriented Strategic Planning Program Manager (SPM) to join their Engineering Business Strategy and Execution team to drive process initiatives and facilitate high impact programs for Amazon’s North American network. An SPM’s goal is three-fold: 1) serve as trusted advisors and strategic partners to pillar leaders by proactively resolving blockers and delivering targeted solutions, 2) develop standard mechanisms and goals that drive organizational alignment and operational excellence, and 3) support end-to-end talent strategy execution including hiring coordination and resource management. SPMs value their direct relationship with customers and stakeholders to ensure that all requests are evaluated and prioritized on data-driven analyses aligned with strategic directives for the business. There are opportunities to create and drive impactful changes while simplifying processes. This includes building working groups to solve business challenges, optimize onboarding of fellow Amazonians, being the owner to end-to-end programmatic processes, driving productive facilitation of meetings, and creating effective process-oriented solutions to save time and reduce redundancies across the network. By fully embracing Amazon’s principles and implementing sustainable, scalable, and solution-based outcomes for programs and processes, the role helps connect programmatic work to the goals that the team will achieve. You will work with a variety of roles including technical program managers, design and controls engineers, and operations engineers in a fast-paced and often ambiguous environment. NA Ops Engineering works on hundreds of projects by varying complexity – small to large – and processes each year. You will coordinate and collaborate with fellow engineers and managers across teams and organizations to reach outcomes that deliver on customer promise and optimize GES NA network. This role requires 50% travel on a yearly basis. When not traveling, you must have the ability to work from a corporate office. Candidates should either live near or be willing to relocate within a reasonable commuting distance of one of the corporate office locations listed. Relocation assistance may be provided. Key job responsibilities - High degree of organization – SPEs must have organizational acumen in order to manage and prioritize scope. This includes remaining nimble when last minute requests need closing out, and coordination of meetings that effectively overlap. Bridging materials, managing resources, and planning timelines are also an integral part of the role. - Dealing with Ambiguity &amp; Strategic Problem Solving – There are instances where a solution is hard to quantify or solve. SPEs must be able to handle situations that are not fully explained or understood, and it is anticipated that the individual is able to manage through and find creative, outside the box solutions as workarounds to solve problems. The individual must have grit to solve nuanced work and have the ownership to step in and find innovative solutions. - Written and Verbal Communication – SPEs articulate in both written and verbal formats. This includes the ability to write documents and presentations that are reviewed by leadership and senior leadership. This entails the ability to use concise language, willingness to embrace feedback, and speak confidently. - Business &amp; Data Analytics – SPEs leverage data and business insights to drive strategic decision-making and operational efficiency. They collect, process, and analyze complex data to identify trends, translating findings into actionable solutions, standardized tools, and scalable templates. These frameworks support operational improvements and process standardization while effectively communicating insights to stakeholders at all levels. Examples include establishing relevant metrics and templates for business reviews, ensuring data quality, and synthesizing complex information into clear, business-aligned solutions. - Program/Product Management – SPEs rely on their program management experience to lead, coordinate, and drive programs (and products) to completion. This includes building engineering programs and products, manage stakeholder expectations, and drive to the success of a number of programs (or products). This entails ownership, earning trust, and meeting completion dates. A day in the life An SPM's role may differ on a regular basis depending on scope and pillar support. However, there will be consistency in approaches, mechanisms, and tools to drive success in the role. This includes managing leadership-aligned programs that improve the network, to gathering key inputs for goals and business reviews monthly to helping improve communications between teams and cross-functional organizations. Being able to decipher ambiguity and nuances is key to the role. There are deliverables and workback schedules to help drive working teams to completion. Ambiguity exists in different ways and having fungibility between program management, product development, and supply chain experience will bolster success. Facilitating meetings and capturing feedback for the programmatic teams require someone who is well-organized and have ability to push back, when necessary. About the team At Amazon, we are all Owners and leverage unique opportunities presented to us by owning everything from firm engineering to project execution and final hand-off to our customers. We are a diverse, upbeat, creative team of engineers and managers working on a daily basis to ensure that our internal customers have capabilities to deliver on the Customer Promise. We not only build, but we are also consistently improving our capabilities at Amazon. Continuous improvement is the ongoing enhancement of our systems through incremental and breakthrough developments. We are continually raising the quality bar, and are never satisfied. We seek to improve through captured lessons learned that are incorporated back into our mechanisms as a way to perpetually improve upon the next design and processes iterations. We continually learn, grow, and develop throughout the organization and our Subject Matter Expertise is leveraged globally. Global Engineering Services (GES) NA Operations Engineering, or NA Ops Eng, works across North America to deliver Material Handling System launches, retrofits, and innovations. A day in the life can take place on a jobsite, in an active facility, or in one of Amazon’s corporate offices. GES NA Ops Eng is highly team-oriented, working daily be smarter together, be faster together, and to grow together. The Engineering Business Strategy and Execution team consists of Strategic Planning Engineers (SPEs) and Program Managers (SPMs) who promote organizational parity, standardization, cadence, and collaboration throughout the organization. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! </div>
<h3>Basic Qualifications</h3><div>- 3+ years of program or project management experience - Experience using data and metrics to determine and drive improvements - Experience working cross functionally with tech and non-tech teams - Bachelor's degree in Industrial Engineering, Mechanical Engineering, or other STEM field - Knowledge of and proficiency in Excel and SQL - Experience managing operations processes and engineering partnerships - Experience developing operational processes and data insights - Experience in building financial and operational reports/data sets that inform business decision-making, or experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)</div>
<h3>Preferred Qualifications</h3><div>- 5+ years of program management or technical project management experience - Experience developing strategies that influence leadership decisions at the organizational level - Experience in creating process improvements with automation and analysis, or experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes - Experience in complex cross-functional change management - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Knowledge of Six Sigma tools, Lean techniques, PMP or similar standards preferred Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at <a href="https://amazon.jobs/en/benefits">https://amazon.jobs/en/benefits</a>. USA, CA, San Francisco - 81,600.00 - 142,800.00 USD annually USA, MA, Boston - 74,200.00 - 129,800.00 USD annually USA, NY, New York - 81,600.00 - 142,800.00 USD annually USA, TN, Nashville - 66,800.00 - 116,800.00 USD annually USA, TX, Austin - 74,200.00 - 129,800.00 USD annually USA, TX, Houston - 74,200.00 - 129,800.00 USD annually USA, TX, Irving - 74,200.00 - 129,800.00 USD annually USA, VA, Arlington - 74,200.00 - 129,800.00 USD annually USA, WA, Bellevue - 82,700.00 - 129,800.00 USD annually</div>

Strategic Planning PM, GES NA Ops Engineering

Strategic Planning Program Manager

3+ years program or project management; data-driven; cross-functional with tech/non-tech teams; STEM bachelor; Excel and SQL; experience in operations and data insights; ability to build reports and data sets

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