Top Data & Analytics Jobs in Las Vegas, NV

Build and maintain scalable data pipelines and Python automations for ingesting, processing, and enriching data. Integrate SaaS sources via APIs, use Databricks/PySpark/Delta Lake and AI tools to power lead generation, enrichment, deduplication, and entity resolution. Collaborate cross-functionally to translate business needs into automated, production-ready solutions.

Seeking a Sr. ETL Developer with 6-8 years programming experience, expertise in ETL tools, SQL, and data warehousing concepts for a 6+ month contract in Las Vegas.

Evaluates AI/LLM-powered product quality, model and product performance, customer behavior, usage, and feature adoption. Defines KPIs and success metrics, develops evaluation frameworks, identifies instrumentation gaps, supports experimentation and analytics infrastructure, and creates dashboards and reports. Partners with Product, Engineering, Data Science, and Business teams to translate analytical insights into product improvements.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Build and operate batch and streaming data pipelines on Google Cloud for analytics and machine learning. Ingest, transform, validate, and curate datasets in BigQuery; implement data quality, governance, security, monitoring, Terraform infrastructure, and CI/CD. Provide technical direction, lead code reviews, and document data processes. The role requires cloud data engineering experience, technical team leadership, strong SQL and Python skills, and eligibility for a federal Public Trust investigation.

Leads the design and governance of Databricks-based data products, ETL/ELT pipelines, analytical models, metadata, business rules, and data-quality controls. Integrates pharmacy, healthcare, membership, marketing, operational, and financial data to support reliable self-service and AI-assisted analytics. Provides technical leadership, establishes standards, evaluates analytical accuracy, mentors teams, and translates business requirements into scalable, governed data capabilities.

Leads provider data business intelligence, automation, governance, stewardship, quality controls, complex analytics, dashboards, reporting, and executive insights. Partners with technology, operations, compliance, and business stakeholders to improve data transparency, reduce manual work, measure performance, and enable strategic decision-making. The role requires advanced healthcare data expertise, predictive analytics, SQL and SAS proficiency, BI visualization skills, and the ability to support government-related clearance requirements.

Data Engineering Intern supporting MEMX exchange data projects. Responsibilities include collecting, organizing, validating, and improving data processes used for reporting and analysis. The intern will collaborate with technology teams, communicate technical findings, and gain hands-on experience with financial-market data while working hybrid from the Midtown Manhattan office during summer 2027.

Lead the design, development, integration, optimization, and operational oversight of MicroStrategy analytics solutions supporting healthcare eligibility, claims, provider, member services, reporting, and financial workflows. Collaborate across technical and operational teams, drive modernization, resolve complex issues, coordinate data interoperability, manage vendors, and ensure secure, compliant, high-performing systems.

Plans and executes enterprise data migrations, conversions, transformations, archival, and cloud data platform operations. Builds ETL/ELT pipelines and migration scripts, performs profiling and source-to-target mapping, validates data, manages cutovers and rollback procedures, and troubleshoots migration issues. Optimizes cloud platforms, databases, workloads, security, access, cost, and performance while collaborating with engineering, governance, architecture, and business teams.

Develop Power BI and Power Platform solutions in secure government environments. Gather requirements, analyze data, model business processes, create visualizations, manage documentation, and support system design and deployment. Develop and execute test plans, troubleshoot technical issues, coordinate stakeholders, and provide end-user support and training. The role also supports deployment documentation, system integration, quality assurance, and enterprise platform initiatives.

Develop and maintain data pipelines, infrastructure, and integrations supporting analytics, data science, and business intelligence. Ensure data quality and integrity, optimize workflows, and collaborate with Operations, IT, Accounting, HR, Property Services, Marketing, and other departments. The role requires SQL Server, programming, shell scripting, cloud, containerization, version control, and data pipeline knowledge, with occasional travel and flexible scheduling as project deadlines require.

Design, build, and operate production data pipelines using Python, Spark SQL, and Airflow. Canonicalize healthcare and customer data into trusted internal models, optimize distributed processing, enforce schemas, and implement quality checks and observability. Support customer onboarding, streaming pipelines, troubleshooting, on-call operations, and platform best practices while collaborating with product, analytics, engineering, data science, and customer teams.

Own end-to-end client data migrations: reverse-engineer legacy ETL, design and build Airflow DAGs and Spark jobs, validate and reconcile data at scale, document architecture and decisions, and coordinate cross-functional teams through go-live and hypercare.