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Remote Big Data Jobs in Nevada (NOW HIRING)

Sierra Nevada Corporation

Pricing Analyst III

Sparks, NV · On-site +1

$85K - $117K/yr

If you have a keen eye for the big picture, excellent technical data analysis skills, and enjoy ... Work in an office environment with the potential for hybrid or remote work settings. At Sierra ...

Bradken

Business Development Specialist

Elko, NV · On-site +1

In this fully remote position, you will be the spearhead for our Fixed Plant, Mill Liners, and Wear ... Proficiency in Salesforce (CRM) and data-driven decision-making (Preferred but not mandatory)

Fluor

Planner, Senior Project Controls Specialist

Elko, NV · On-site +1

$119K - $222K/yr

We are committed to fostering a welcoming and collaborative work environment that encourages big ... data are converted correctly from the original estimate to the Project Control system Analyze ...

All JobsBig Data JobsRemote Big Data JobsRemote Big Data Jobs in Nevada

Remote Big Data information

What is a remote big data?

A Remote Big Data job involves working with large datasets, analyzing trends, and optimizing data infrastructure, all while telecommuting. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret complex data. They may work for tech companies, finance, healthcare, or other industries that rely on data insights. A strong background in data engineering, analytics, or machine learning is often required. These roles offer flexibility but demand strong communication and collaboration skills for remote teamwork.

What are the typical daily responsibilities of a remote big data professional?

As a Remote Big Data professional, your daily tasks often include developing, maintaining, and optimizing large-scale data processing pipelines, analyzing datasets to extract insights, and troubleshooting performance issues. You’ll collaborate closely with cross-functional teams—such as data engineers, analysts, and product managers—through virtual meetings and shared documentation tools. Regular responsibilities may also involve implementing data quality standards, ensuring data security, and integrating new data sources. The remote aspect of the role emphasizes self-motivation and clear digital communication to keep projects on track. This position offers a dynamic workday where your contributions directly impact business intelligence and innovation.

What are the key skills and qualifications needed to thrive in the remote big data position?

To excel as a Remote Big Data professional, a solid background in data analysis, distributed computing, and programming languages such as Python, Java, or Scala is essential, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud) as well as relevant certifications can be highly advantageous. Strong problem-solving abilities, self-management, and effective remote communication skills are critical for collaborating with distributed teams. These combined skills enable professionals to efficiently process massive datasets, create scalable solutions, and contribute to data-driven decision-making from a remote environment.

What are popular job titles related to Remote Big Data jobs in Nevada?

For Remote Big Data jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Remote Big Data jobs in Nevada look for?

The top searched job categories for Remote Big Data jobs in Nevada are:

What cities in Nevada are hiring for Remote Big Data jobs?

Cities in Nevada with the most Remote Big Data job openings:

Remote Big Data jobs near you
Infographic showing various Remote Big Data job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Engagement Delivery Lead Data Analytics With Gaming/Casino Exp (Remote)

Cognizant Technology Solutions

Las Vegas, NV • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Cognizant rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Role Summary
The Associate Director - Data Engineering is a senior leadership role responsible for acting as the Delivery Leader across a portfolio of client accounts, ensuring consistent, high-quality program delivery through strong collaboration with offshore leads and teams. In parallel, this role owns the P&L for the account portfolio and drives proposal development and opportunity conversion, translating sales pipeline into executable, well-scoped delivery engagements.
This is a dual-mandate role: delivery excellence is the first and non-negotiable priority, while P&L ownership and business development (proposals/opportunity conversion) is the secondary priority, to be managed without compromising delivery commitments.
Roles & Responsibilities
1. Delivery Leadership
  • Serve as the primary delivery owner and escalation point for all in-flight programs within the assigned account portfolio.
  • Partner with offshore leads/managers to plan sprints/releases, allocate resources, and track execution against milestones.
  • Drive daily/weekly delivery governance cadences (stand-ups, steering committees, status reviews) with onshore and offshore teams.
  • Proactively identify delivery risks (technical debt, resourcing gaps, scope creep, attrition) and drive mitigation plans.
  • Ensure adherence to engineering best practices, data quality standards, architecture guidelines, and DevOps/DataOps processes across teams.
  • Own client relationship management at the program level - building trust, managing expectations, and ensuring high CSAT (Client Satisfaction) scores.
  • Conduct periodic program health checks and quality audits across accounts.
  • Mentor and develop offshore leads and technical managers to strengthen delivery capability and reduce dependency on escalations.
  • Ensure knowledge continuity and succession planning within delivery teams.
  • Manage cross-functional dependencies (infrastructure, security, data governance, QA) required for successful delivery.

2. P&L Ownership
  • Own and manage the P&L for the assigned set of accounts, including revenue recognition, cost management, and margin improvement.
  • Track utilization, billability, and pyramid health of the delivery teams; drive corrective actions where needed.
  • Forecast resourcing and financial requirements in line with account growth plans.
  • Identify cost optimization opportunities (offshore-onshore mix, automation, tooling) without compromising delivery quality.
  • Report account financial performance to leadership on a periodic basis.

3. Proposals & Opportunity Conversion
  • Partner with sales, account management, and pre-sales teams to identify and shape new opportunities within existing and prospective accounts.
  • Lead or contribute to solutioning, effort estimation, staffing plans, and commercial proposals for new deals or account expansions (RFP/RFI responses, SOWs).
  • Ensure proposed solutions are technically sound, deliverable, and aligned with realistic timelines and offshore delivery capability.
  • Support due diligence, client presentations, and negotiations during the opportunity-to-contract transition.
  • Ensure a smooth handover from the proposal/sales stage to the delivery team, including transfer of context, assumptions, and commitments made.

4. Stakeholder & Team Management
  • Act as the bridge between onshore leadership/clients and offshore delivery teams, ensuring alignment of priorities and expectations.
  • Build and maintain strong working relationships with client stakeholders, sponsors, and internal cross-functional leaders.
  • Drive a culture of ownership, accountability, and continuous improvement within offshore and onshore teams.
  • Support hiring, onboarding, and capability-building initiatives for the account's delivery teams.

Required Skills & Experience
  • 16+ years of overall experience in Data Engineering / Data Platform delivery / AIML, Databricks with at least 3-5 years in a delivery leadership or account management role.
  • Proven experience managing multi-account or multi-program portfolios with distributed (onshore-offshore) delivery models.
  • Strong technical grounding in data engineering concepts - data pipelines, ETL/ELT, data warehousing, cloud data platforms (AWS/Azure/GCP), big data ecosystems (Spark, Kafka, etc.), and modern data architecture (Lakehouse, Data Mesh).
  • Demonstrated experience owning P&L for accounts/programs, including revenue, margin, and utilization management.
  • Experience in proposal writing, solutioning, and effort estimation for RFP/RFI responses.
  • Strong stakeholder management skills - ability to engage confidently with client leadership, sponsors, and internal executives.
  • Excellent people leadership skills, with experience managing and mentoring offshore leads/managers.
  • Strong communication, negotiation, and executive presentation skills.
  • Bachelor's/master's degree in computer science, Engineering, or related field

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply-even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.
Salary and Other Compensation:
Applications will be accepted until Aug 97, 2026,
The annual salary for this position is between $ 90,000 - $ 180,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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