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Data Engineer With Jobs in Nevada (NOW HIRING)

Data Engineer

Reno, NV · On-site

$114K - $137K/yr

Position Summary The Data Engineer is part of the Resource Projects team within the Resource ... Partnering closely with subject matter experts, corporate IT, and project managers, this role ...

Data Engineer

Reno, NV · On-site +1

$114K - $137K/yr

Position Summary The Data Engineer is part of the Resource Projects team within the Resource ... Partnering closely with subject matter experts, corporate IT, and project managers, this role ...

Data Engineer

Reno, NV · On-site +1

$114K - $137K/yr

With a spotless international reputation, we're on track to become a leading global provider of ... The Data Engineer will serve as the central architect and steward of data systems supporting the ...

Data Engineer

Reno, NV · On-site

$114K - $137K/yr

Required : • Bachelor's degree in Data Engineering, Computer Science, Engineering, or related field (Master's preferred) with 5-10+ years of relevant experience • Advanced expertise in SQL ...

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

Leads peer development and code reviews with focus on test driven development and Continuous ... data engineer with full-stack capabilities • Minimum of ten (10) years of Experience in ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... With your growing knowledge of how business works, you play an important role in identifying ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct ...

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... Collaborates with business teams to improve data models that feed business intelligence tools ...

Lead Data Engineer

Las Vegas, NV

$110K - $132K/yr

Collaborate closely with cross-functional teams to gather requirements, understand data needs, and ... Bachelor's degree in Computer Science, Engineering, or a related field * experience in data ...

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... Collaborates with business teams to improve data models that feed business intelligence tools ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... compliance with data governance and data security policies - Collaborating with business ...

Lead Data Engineer

Las Vegas, NV

$98K - $129K/yr

Design and implement scalable data pipelines using Apache Airflow ( experience with Airflow 3 is ... data engineering or related fields * Strong proficiency in: * Apache Airflow (DAG development ...

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

This role partners closely with engineering, analytics, and business teams to deliver scalable data solutions that support analytics, BI, and future AI/ML use cases. Critical Skill Priorities (In ...

Sr Data Engineer

Las Vegas, NV · On-site

$97K - $131K/yr

This role partners closely with engineering, analytics, and business teams to deliver scalable data solutions that support analytics, BI, and future AI/ML use cases. Critical Skill Priorities (In ...

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Showing results 1-20

Data Engineer With information

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

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

To thrive as a Data Engineer, you need expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

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

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer With jobs in Nevada? For Data Engineer With jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Data Engineer With jobs? Cities in Nevada with the most Data Engineer With job openings:
Senior Data Engineer with Security Clearance

Senior Data Engineer with Security Clearance

Gridiron IT Solutions

Nellis Air Force Base, NV • On-site, Remote

$100K - $175K/yr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 25 days ago


Job description

Data Engineer, Senior Location: Nellis AFB, NV
Work Type: Full-Time / Onsite
Remote Work: No
Job Description Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. As a data engineer, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. You Have:?? 6+ years of experience architecting and delivering AI enabled mission or enterprise systems, including data integration, secure compute environments, and operator facing applications in restricted or classified settings 6+ years of experience designing and implementing data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham, including airgapped, degraded connectivity, or multiclassification environments 6+ years of experience developing secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in greenfield or modernization efforts 6+ years of experience implementing DevSecOps practices, including containerization, orchestration, CI/CD, and automated testing within constrained or limited toolchain environments
6+ years of experience integrating AI/ML capabilities into production workflows or operator tooling, such as LLM enabled assistants, model augmented decision aids, or automation solutions 6+ years of experience making architectural tradeoffs under constrained mission conditions, including limited infrastructure, fragmented networks, evolving requirements, or high pressure timelines Experience rapidly learning unfamiliar technologies, and supporting engineering teams through implementation
Experience communicating architectural decisions and solution impacts to engineers, government clients, and senior nontechnical stakeholders Secret clearance
Bachelor’s degree
Nice If You Have:?? Experience supporting multi cloud, multi enclave, or multiclassification architectures, including environments spanning NIPR, SIPR, JWICS, or coalition networks Experience contributing to defense programs or large systems integration efforts involving acquisition, compliance, or organizational complexity Experience supporting DoD installations, operational units, or C2 systems in environments with incomplete documentation or inconsistent technical baselines Experience developing agentic workflows, automation pipelines, or custom tooling to increase engineering throughput or reduce operator workload Experience serving in a technical lead capacity responsible for system design and delivery Experience participating in tiger teams, flyaway teams, or rapid response missions requiring accelerated delivery under complex conditions Top Secret clearance
AWS, Palantir Foundry or Gotham, Kubernetes, or comparable architecture frameworks certifications
Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation and Benefits
Salary Range: $100,000 - $175,000 (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.) Benefits: Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees. Full-time and part-time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron’s benefits programs. Gridiron IT Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status. Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations.