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Senior Data Engineer Python Jobs in Reno, NV (NOW HIRING)

Senior Software Engineer

Mccarran, NV · On-site

$125K - $165K/yr

Senior Software Engineer We're replacing our legacy Oracle ERP and WMS with custom systems at North ... Write clean, tested Python and React code and participate in code reviews * Design and build APIs ...

Sr. Software Engineer

Reno, NV

$122K - $161K/yr

As a Senior Software Engineer, you will be a technical leader who architects and delivers complex ... In this role, you will be an expert in GoLang and Python, designing high-performance microservices ...

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Senior Firmware Engineer

Reno, NV · On-site

$90 - $120/hr

Senior Firmware Engineer page is loaded## Senior Firmware Engineerremote type: Onsitelocations ... Experience with Python in a CI/CD or automation context* Experienced using AI in a production ...

Senior Software Engineer

Reno, NV · On-site

$122K - $161K/yr

We're a data company helping customers buy and sell smarter with clear, actionable insights they ... We are searching for a talented Sr. Software Engineer to join the OPENLANE software engineering ...

Senior Software Engineer

Reno, NV · On-site +1

$122K - $161K/yr

We're a data company helping customers buy and sell smarter with clear, actionable insights they ... We are searching for a talented Sr. Software Engineer to join the OPENLANE software engineering ...

Staff Data Scientist

Carson City, NV · On-site

$180 - $260/hr

Python * Feature Engineering Soft Skills * Communication Skills * Judgment * Problem Framing ... Data Processing Frameworks * Telemetry Systems * Model Monitoring Tools #J-18808-Ljbffr

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Sr. Materials Engineer

Sparks, NV · On-site

$106K - $146K/yr

The Sr. Materials Engineer is responsible for the development and modification of processes and ... Use manufacturing data such as defect rate and alert rate to evaluate supplied materials. Draw ...

The Senior Manufacturing Engineer will work closely with Production, Quality, Test Engineering ... Analyze production data, defect trends, rework data, test failures, and process performance to ...

The Senior Manufacturing Engineer will work closely with Production, Quality, Test Engineering ... Analyze production data, defect trends, rework data, test failures, and process performance to ...

Senior Project Engineer

Reno, NV · On-site

$98K - $128K/yr

Supported by estimators and project accountants, our Senior Project Engineers enjoy a wealth of resources to help make critical data-driven decisions. The Project Engineer is an integral part of the ...

Working under close supervision and guidance from senior team members, the Engineer develops ... Basic Experience with Python scripting for SCADA application logic, data processing, automation ...

Showing results 21-40

Senior Data Engineer Python information

See Reno, NV salary details

$80.8K

$126K

$174.5K

How much do senior data engineer python jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior data engineer python in Reno, NV is $125,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $143,600.00 per year, depending on experience, location, and employer.

What does a senior data engineer python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

What are the key skills and qualifications needed to thrive as a senior data engineer python?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

How does a senior data engineer python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

What job categories do people searching Senior Data Engineer Python jobs in Reno, NV look for?

The top searched job categories for Senior Data Engineer Python jobs in Reno, NV are:

Senior Staff AI Engineer

Teradata Corporation (SE)

Carson City, NV • On-site

$199.50 - $299.30/hr

Other

Medical, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

About Teradata

At Teradata, we believe that people thrive when empowered with better information. That’s why we build the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we empower the world’s leading enterprises to make confident, data driven decisions at scale.

Role Overview

As a Senior Staff AI Engineer, you will be a senior technical leader responsible for designing, evolving, and scaling Teradata’s enterprise AI platforms and capabilities. This role goes beyond feature delivery—you will own architecture level decisions, influence AI platform strategy, and lead complex initiatives spanning agentic AI, LLM platforms, retrieval augmented generation (RAG), vector stores, and developer facing AI systems.

You will operate with a high degree of autonomy, partner closely with product and architecture leadership, and raise the technical bar across multiple teams.

Key Responsibilities Technical Leadership & Architecture
  • Lead the design and evolution of largescale, distributed AI systems that power Teradata’s AI platform and AI-native products.

  • Own end-to-end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks.

  • Drive technical strategy and architectural consistency across multiple engineering teams.

AI Systems & Platform Development
  • Design and implement production grade AI systems using LLMs, embeddings, vector databases, and agent based architectures.

  • Build scalable, secure, and reusable platform services and APIs supporting AI workloads across the software development lifecycle.

  • Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems.

Cross Functional Influence
  • Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions.

  • Influence roadmap decisions by providing deep technical insight, tradeoff analysis, and long-term platform thinking.

  • Act as a technical escalation point for complex system design, performance, and reliability challenges.

Quality, Performance & Operational Excellence
  • Drive best practices for testing, observability, evaluation, and production readiness of AI systems.

  • Identify systemic performance bottlenecks and lead efforts to optimize distributed systems and AI pipelines.

  • Establish engineering standards that improve development velocity, quality, and operational resilience.

Mentorship & Org Level Impact
  • Mentor Senior and Staff level engineers, providing guidance on architecture, design reviews, and technical decision making.

  • Raise the overall engineering bar through design forums, technical reviews, and knowledge sharing.

  • Lead by example through hands on contributions to the most complex and business critical problems.

Required Qualifications (Non negotiable)
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

  • 12+ years of experience building backend services, distributed systems, or data/AI platforms.

  • Strong proficiency in Java, Go, or Python, with experience building largescale services.

  • Deep understanding of distributed system design, scalability, fault tolerance, and cloud native architectures.

  • Proven experience designing and operating production systems with SQL and NoSQL data stores.

Preferred / Differentiating Skills
  • Experience with LLMs, embeddings, vector databases, and AI orchestration frameworks.

  • Exposure to agentic AI patterns such as tool calling, planning, memory, and multi-step reasoning.

  • Experience building or operating AI systems in cloud environments (AWS, Azure, or GCP).

  • Familiarity with Kubernetes, Docker, CI/CD pipelines, and production-grade observability.

Why We Think You'll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.

Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs.

Pay Rate: 199500.0000 - 249400.0000 - 299300.0000 Annually

Starting pay for the successful applicant will depend on geographic location, internal equity, job‑related knowledge, skills, and candidate experience. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance. Employees in this position are eligible to participate in the Company’s benefits programs, which generally include health care, life and disability insurance, retirement savings, and time‑off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: https://www.teradata.com/About-Us/Careers/Benefits

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