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

Senior Manufacturing Engineer

Reno, NV

$90K - $124K/yr

Role Summary We are seeking a skilled and passionate Senior Manufacturing Engineer to lead the ... Develop data-driven action plans and root cause analyses to ensure timely resolution and continuous ...

Senior Manufacturing Engineer

Minden, NV · On-site

$91K - $125K/yr

Senior Manufacturing Engineer Do you enjoy leading complex manufacturing initiatives and driving ... Analyzing production data to identify trends, bottlenecks, and improvement opportunities, driving ...

Senior Manufacturing Engineer

Reno, NV · On-site

$90K - $124K/yr

Role Summary We are seeking a skilled and passionate Senior Manufacturing Engineer to lead the ... Develop data-driven action plans and root cause analyses to ensure timely resolution and continuous ...

Position Overview Power your future with Qualus as a Senior Civil Structural Engineer. In this role ... The firm partners with utilities, commercial, industrial, data center, and government clients, and ...

Senior Engineer - Civil Structural

Reno, NV

$99K - $135K/yr

Position Overview Power your future with Qualus as a Senior Civil Structural Engineer. In this role ... The firm partners with utilities, commercial, industrial, data center, and government clients, and ...

Senior Engineer - Substation

Reno, NV · On-site

$110K - $150K/yr

Position Overview Power your future with Qualus as a Senior Substation Engineer. Substation Design ... and engineering data. * Perform/Ensure company's Quality Assurance/Quality Control (QA/QC) ...

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Showing results 1-20

Senior Data Engineer information

See Reno, NV salary details

$80.8K

$126K

$174.5K

How much do senior data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for senior data engineer 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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing AI models effectively within organizations. Proficiency in programming, cloud platforms, and data management tools remains critical for the role.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost-of-living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in data architecture, and expertise in tools like Spark, Hadoop, or cloud platforms can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, or other incentives.

What engineers make $300,000 a year?

Senior Data Engineers and other highly experienced engineering roles in fields like software, machine learning, and cloud infrastructure can earn $300,000 or more annually, especially with advanced skills, certifications, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, reflecting expertise and responsibility levels.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Reno, NV? The most popular types of Data Engineer jobs in Reno, NV are:
What are popular job titles related to Senior Data Engineer jobs in Reno, NV? For Senior Data Engineer jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Reno, NV look for? The top searched job categories for Senior Data Engineer jobs in Reno, NV are:
What cities near Reno, NV are hiring for Senior Data Engineer jobs? Cities near Reno, NV with the most Senior Data Engineer job openings:

Senior Manufacturing Engineer

Amperesand

Reno, NV

$90K - $124K/yr

Other

Posted 5 days ago


Job description

Role Summary

We are seeking a skilled and passionate Senior Manufacturing Engineer to lead the design and development of advanced automation equipment and assembly lines as we scale our hardware product portfolio. In this role, you will drive cross-functional initiatives to bring innovative hardware solutions from concept through to full-scale production. Collaborating closely with controls, mechanical and electrical design teams, you will implement robust machine and process architecture.  

This role presents a unique opportunity to influence product design from its earliest stages. It is a rare and valuable learning experience for manufacturing engineers to be embedded so deeply in both product and manufacturing development. 

Responsibilities: 

  • Lead Design for Manufacturing (DFM) and Design for X (DFx), Assembly, Quality, Reliability 
  • Lead and implement robust manufacturing processes, including process sequencing, critical parameter development, and assembly recipes 
  • Drive quality, repeatability, and throughput in both prototype and production environments. 
  • Collaborate closely with Design Engineering, NPI, Quality, and Production teams throughout the product lifecycle 
  • Act as a technical lead to resolve quality and functional issues in production and with contract manufacturers. 
  • Develop data-driven action plans and root cause analyses to ensure timely resolution and continuous improvement. 
  • Design and validation of novel prototype tooling and assembly equipment with 3rd third-party equipment builder. 
  • Collaborate with the equipment design engineer for in-house equipment development. 
  • Oversee internal and external development of equipment and processes for new product introduction and scale-up. 
  • Support the ramp-up of production lines, resolving technical issues, optimizing process performance, and ensuring lines meet takt time, yield, and labor efficiency targets. 
  • Perform line balancing and capacity planning studies to support efficient line layout, equipment utilization, and throughput targets as production scales. 
  • Maintain comprehensive process documentation, participate in Engineering Change Management 
  • Drive continuous improvement efforts through data collection, analysis, and feedback loops 
  • Mentor technicians and production associates as needed 

Qualifications: 

  • Bachelor's or master's degree in mechanical, Manufacturing, or Industrial Engineering (or related field) 
  • 5+ years of experience in manufacturing engineering, with background in DFM, process development, and high-mix or low-to-high-volume production 
  • Hands-on experience in any of the following manufacturing processes: injection molding, die casting, machining, assembly automation, potting, wilding, soldering, laser, adhesion. 
  • Experience in participating in large-scale capital equipment design projects. From Request from quotation to FAT, SAT or SOP. 
  • Background in concept-to-production equipment development. 
  • Experience in data collection and analysis for process development or applicable process engineering expertise 
  • Willing to lead cross-functional projects and vendor engagements 
  • Experience in problem-solving and a data-driven mindset 
  • Familiarity with tools such as OEE, CP, CPK, PFMEA, DOE, root cause analysis, and SPC 
  • Written and verbal communication skills 
  • Experience working in Agile development environments, including task management and sprint planning using Scrum methodologies and tools like Jira. 
  • Ability to travel up to 20% - 25% including internationally 

Bonus Qualifications: 

  • Proficiency in CAD software (3D EXPERIENCE (3DX), CATIA, NX, SolidWorks, Creo etc.) for designing mechanical assemblies. 
  • Experience with DFM/DFA (Design for Manufacturing/Assembly) methodologies. 
  • GD&T and its impact on manufacturability. 
  • Knowledge of motion control, pneumatics, hydraulics, and sensors. 
  • Knowledge of mechanical, electrical and electronic schematics.  
  • Power Electronics Assembly experience is highly valued from energy, automotive, aerospace, semiconductor, or consumer electronics manufacturing. 
  • Experience in Overall Equipment Efficiency (OEE) improvements.  

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.