Top Remote Jobs in Reno, NV

Analyze and maintain recruitment, onboarding, workforce, participant, and program-performance data for the NIH DataForce Service Program. Develop trackers, dashboards, reports, and briefing materials; monitor participant lifecycle activities; identify data-quality issues, risks, trends, and process improvements; and support recurring monthly and quarterly analyses. Collaborate with program managers, mentors, coordinators, and government stakeholders while protecting sensitive information and ensuring Section 508 accessibility compliance.

Own Ataccama’s global strategic alliances with systems integrators, consultancies, cloud platforms, and data ecosystem partners. Drive partner-sourced and partner-influenced revenue through co-selling, joint solutions, marketing, and marketplace programs across North America, EMEA, and APAC. Build executive relationships, multi-year alliance strategies, integrations, commercial structures, and joint investments. Coordinate with sales, product, engineering, and marketing teams while managing forecasts, CRM data, business reviews, and partner performance.

Owns technical, security, integration, and data architecture for Salesforce Marketing Cloud client engagements. Responsibilities include designing Marketing Cloud and Data 360 solutions, managing integrations, overseeing migrations, enforcing technical standards, reviewing AI-generated work, and owning production deployments. The role also requires client-facing architectural leadership, technical estimating, release management, and clear communication with technical and executive stakeholders.

Analyze mortgage pricing, market conditions, loan-level data, competitive intelligence, and margin performance across DSCR and non-QM lending. Build pricing recommendations, financial models, dashboards, and leadership reports; identify margin leakage; evaluate broker and channel economics; support pricing governance, fair lending monitoring, budgeting, forecasting, monthly close, and investor reporting. Partner with Sales, Finance, executives, and pricing technology administrators to improve profitability and growth.

Lead the reverse-engineering and migration of legacy ETL pipelines from SAP BusinessObjects Data Services and JD Edwards into dbt and Databricks architectures. Build automated data validation, maintain SQL Server write-back mechanisms, collaborate with client stakeholders, and lead and mentor a small engineering team. The role requires hands-on expertise in SQL, Python, Spark, orchestration, cloud platforms, and legacy ERP and ETL migrations.

Lead enterprise data-source integrations across process historian, logistics, and procurement platforms. Build Databricks lakehouse Bronze ingestion pipelines and Silver normalization models, configure Fivetran and ODBC connectors, establish cross-system mappings, and validate data architectures with operations, procurement, and transportation stakeholders.

Drive data-informed marketing decisions through business analysis, machine learning, experimentation, causal inference, and statistical testing. Develop measurement frameworks, evaluate campaign effectiveness, identify growth opportunities, and create targeting, predictive modeling, and personalization solutions. Collaborate with product, marketing, sales, growth, and leadership teams to translate business challenges into analytical solutions and present actionable recommendations. The role is remote, six months, and requires 6+ years of relevant experience.

Own end-to-end IT operations for a globally distributed workforce, including cross-platform support, MDM administration, patch management, endpoint security, SaaS and identity access, onboarding and offboarding, automation, asset inventory, procurement, and cloud/IaC collaboration. The role requires strong macOS, Windows, and Linux expertise, participation in weekend on-call rotation, and experience improving secure, scalable IT systems in a remote environment.

Serve as the technical expert for enterprise partners, supporting customer relationships, pre-sales engagements, API consultations, solution design, integrations, onboarding, demos, RFPs, and security questionnaires. Translate customer, vendor, and regulatory requirements for product and engineering teams, support platform adoption, create technical documentation, and coordinate feature testing and rollouts. Requires strong API and enterprise customer experience, with fintech and securities knowledge preferred.

Designs, implements, and manages enterprise SD-WAN, SASE, network security, cloud networking, and UCaaS solutions for managed-services clients. Leads network transformation projects, serves as a technical escalation point, mentors engineers, develops automation, creates documentation, and supports uptime SLA compliance. The role requires advanced expertise across Cato, Fortinet, Versa, Cisco Meraki, routing, switching, multi-cloud connectivity, Zero Trust architectures, and network programmability.

Build and maintain multi-platform game build systems for PC, Xbox, and PlayStation. Develop CI/CD pipelines, automate infrastructure through infrastructure-as-code, package and distribute game assets, manage artifacts, and optimize build times. The role also involves compiling code, debugging development issues, supporting cloud infrastructure, and collaborating with game development teams on reliable deployment workflows.

Serve as the SAP functional authority for Army financial processes. Analyze legacy SAP applications, document business processes, define configuration and validation rules, map accounting and master data, and support UAT, exception triage, audit logging, and transition to sustainment support. The role requires deep SAP BW and SAP ECC expertise, knowledge of transactional processing, and an active U.S. Secret clearance.

Designs, builds, tests, and maintains scalable data infrastructure and ETL/ELT pipelines for mission partners. Uses AWS Glue, Glue Catalog, and Step Functions to integrate, migrate, transform, and validate data. Develops data models, schemas, queries, and production-ready datasets while collaborating with analytics and business teams. The role may also support AI/ML pipelines, data governance, DevOps workflows, Databricks, and real-time streaming architectures.

Architects, builds, tests, and maintains scalable data infrastructure and ELT/ETL pipelines using AWS Glue, Glue Catalog, and Step Functions. Performs data modeling, SQL querying, data migration, schema optimization, validation, and data quality improvements. Partners with analytics and business teams to transform raw data into production-ready datasets. The role may also support AI/ML pipelines, governance, access controls, DevOps workflows, and real-time data architectures.