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Freelance Data Engineer Jobs in Nevada (NOW HIRING)

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$132.1K

$180.8K

How much do freelance data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for freelance data engineer in Nevada is $132,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $140,000.00 per year, depending on experience, location, and employer.

What types of projects and clients can a freelance data engineer expect to work with?

Freelance Data Engineers often work on diverse projects ranging from building custom data pipelines and automating workflows to migrating databases or developing data integration solutions for businesses of all sizes. Clients can include startups looking to build new data infrastructure, e-commerce companies seeking analytics solutions, or established enterprises aiming to modernize their data systems. Most projects require close collaboration with data scientists, analysts, or software engineering teams, and the scope can vary from short-term assignments to ongoing support. Freelancing provides flexibility to choose projects that match your expertise and interests, as well as opportunities to gain experience across multiple industries.

What is a freelance data engineer?

A Freelance Data Engineer is a self-employed professional who designs, builds, and maintains data systems for clients on a project basis. They work with databases, ETL pipelines, cloud platforms, and big data technologies to ensure efficient data storage and processing. Unlike full-time employees, freelancers have the flexibility to choose projects, set their own schedules, and work remotely. They may collaborate with data scientists, analysts, and engineers to ensure seamless data flow. Freelance Data Engineers need strong technical skills in SQL, Python, Spark, and cloud services like AWS, GCP, or Azure.

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

To thrive as a Freelance Data Engineer, you need strong programming skills (in languages like Python or Scala), in-depth knowledge of data modeling and ETL processes, and a solid background in databases and cloud platforms. Familiarity with tools such as Apache Spark, Hadoop, SQL, AWS, or Google Cloud, as well as relevant certifications like AWS Certified Data Analytics, is highly beneficial. Strong communication, project management, and problem-solving skills help you collaborate with clients and adapt to changing project requirements. These abilities are crucial for efficiently delivering tailored data solutions and building a reputable freelance business.

What are the most commonly searched types of Data Engineer jobs in Nevada? The most popular types of Data Engineer jobs in Nevada are:
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What job categories do people searching Freelance Data Engineer jobs in Nevada look for? The top searched job categories for Freelance Data Engineer jobs in Nevada are:
What cities in Nevada are hiring for Freelance Data Engineer jobs? Cities in Nevada with the most Freelance Data Engineer job openings:
Freelance Data Engineer jobs near you
Infographic showing various Freelance Data Engineer job openings in Nevada as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, and 10% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $132,091 per year, or $63.5 per hour.

Credit‑Card Operations Consultant (Management Consulting)

ITHR Group plc

Las Vegas, NV • On-site

Other

Posted 2 days ago

New

Job description

Credit‑Card Operations Consultant (Management Consulting Background Only)

Contract/freelance - this is NOT a permanent role


Location: Las Vegas (preferred) • West Coast or Phoenix considered Travel: Required


A major credit‑card issuer is undertaking a large, multi‑year transformation of its unified case‑management platform. We are hiring a Credit‑Card Operations Consultant with a management consulting background to lead discovery, redesign and future‑state operating model definition across the full cards back‑office.


This role is ideal for consultants who have hands‑on experience in credit‑card operations and are comfortable working directly with technology teams, integrations, APIs and case‑management platforms. You will shape how the organisation processes fraud, disputes, collections, servicing, payments, FCRA/bureau operations and more.


This is not a PMO or documentation role - it is a design‑led, problem‑solving role where you will challenge legacy processes, define new workflows, and translate operational requirements into platform‑ready specifications.


What You Will Do


  • Lead structured discovery sessions across all back‑office domains
  • Analyse current‑state processes (~400 L2 processes) and identify redesign opportunities
  • Map operational workflows, exception paths, SLA impacts and system touchpoints
  • Apply structured prioritisation (Green $, swivel‑chair, volume, UPH/FTE gap, risk, integration complexity)
  • Define future‑state operating models and workflow designs
  • Translate operational requirements into functional specifications for engineering teams
  • Work closely with integration architects to define API contracts, event triggers and data needs
  • Present findings and recommendations to COO/CIO/CFO stakeholders
  • Drive sign‑off across operational domains and ensure alignment before build
  • Produce executive‑ready discovery and design packs


Required Background


Management Consulting Experience (Mandatory)

You must come from a consulting environment (Big 4, boutique, or specialist consultancy) with direct exposure to credit‑card operations, such as:


  • Fraud operations
  • Disputes / chargebacks
  • Collections
  • Phone servicing
  • Payments
  • FCRA / bureau operations


  • Experience analysing, redesigning or optimising card‑servicing processes
  • Strong understanding of regulatory frameworks: Reg E, Reg Z, FCRA, SCRA, FDCPA, CFPB
  • Ability to translate operational issues into structured problem statements and future‑state designs
  • Comfortable working with engineering, integrations, APIs and workflow tools
  • Experience with case‑management platforms (Pega, Appian, homegrown or equivalent)
  • Able to define workflow states, routing rules, decision logic and SLA configurations


Stakeholder & Executive Engagement


  • Confident working with VP/SVP/C‑suite stakeholders
  • Strong communication skills and ability to produce board‑ready deliverables


Desirable


  • TSYS, FDR/First Data, Hogan, FIS
  • Bureau interfaces (e‑OSCAR, Metro 2, ACDV/AUD)
  • Collections workbench / bankruptcy workflow
  • Six Sigma Green/Black Belt
  • Celonis or process‑mining tools

Apply