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Remote Power Query Jobs in Orlando, FL (NOW HIRING)

React 18 with TypeScript, Vite, TanStack Query v5, React Hook Form, Zod. Component composition ... Remote state in Azure Storage with locking, drift detection in pipelines. Qualifications:

React 18 with TypeScript, Vite, TanStack Query v5, React Hook Form, Zod. Component composition ... Remote state in Azure Storage with locking, drift detection in pipelines. Qualifications:

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/yr

At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial ... Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial ... Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial ... Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query ...

Remote Power Query information

What are the typical challenges faced by Remote Power Query professionals, and how can they be addressed?

Remote Power Query professionals often encounter challenges related to data connectivity, especially when integrating multiple data sources across different environments. Ensuring consistent data refreshes and troubleshooting connection issues can require creative problem-solving. Effective communication with team members and data owners is key to resolving discrepancies and clarifying requirements. Maintaining documentation and using version control for queries help streamline collaboration and minimize errors while working remotely.

What is the difference between Remote Power Query vs Remote Data Analyst?

AspectRemote Power QueryRemote Data Analyst
Required SkillsData transformation, Power Query, Excel, Power BIData analysis, SQL, Excel, Power BI, visualization
Work EnvironmentRemote, primarily using data tools and platformsRemote, involving data interpretation and reporting
Industry UsageBusiness intelligence, data preparation rolesData analysis, reporting, business insights

Remote Power Query focuses on data transformation and preparation using Power Query tools, often as part of data cleaning and modeling. Remote Data Analysts perform broader data analysis, including interpreting data, creating reports, and providing insights. While both roles require skills in Power BI and Excel, Power Query specialists concentrate on data shaping, whereas Data Analysts handle comprehensive analysis and reporting tasks.

What is a Remote Power Query specialist?

A Remote Power Query specialist is a professional who works from a remote location and is skilled in using Microsoft Power Query, a data connection technology that helps users discover, connect, combine, and refine data across a wide variety of sources. These specialists typically assist organizations in automating data preparation and transformation tasks for business intelligence and reporting. Their expertise allows businesses to streamline data workflows, improve data accuracy, and save time by creating efficient data models and queries without needing in-person support.

What are the key skills and qualifications needed to thrive as a Remote Power Query Specialist, and why are they important?

To thrive as a Remote Power Query Specialist, you need advanced knowledge of data analysis, Power Query (M language), and data transformation concepts, often supported by a degree in computer science, information systems, or a related field. Proficiency with Microsoft Power BI, Excel, and other data visualization or ETL tools, along with relevant certifications like Microsoft Certified: Data Analyst Associate, is typically required. Strong problem-solving ability, attention to detail, and clear communication are vital soft skills for understanding client needs and delivering accurate data solutions remotely. These skills and qualifications ensure efficient data management, enable effective remote collaboration, and drive insightful business decisions.
What are the most commonly searched types of Power Query jobs in Orlando, FL? The most popular types of Power Query jobs in Orlando, FL are:
What job categories do people searching Remote Power Query jobs in Orlando, FL look for? The top searched job categories for Remote Power Query jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Remote Power Query jobs? Cities near Orlando, FL with the most Remote Power Query job openings:
Infographic showing various Remote Power Query job openings in Orlando, FL as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution.

Full Stack Developer

Hillpointe

Winter Park, FL • Remote

Other

Re-posted 9 days ago


Job description

Full Stack Engineer


Hillpointe is hiring a Full Stack Engineer to help build HPOS, the property management platform for our vertically integrated multifamily real estate business, from scratch. This is a greenfield engineering role. You will help establish the architecture, design the data model, ship the first services, and set the patterns the rest of the platform will inherit. 
Expect a zero-to-one cadence. Design an API contract in the morning, ship a Postgres migration before lunch, push a Bicep change to staging by end of day. We optimize for engineers who can hold the full stack in their head, make sound architectural decisions, and ship working software at pace.

The Role at a Glance:

  • Scope: Schema to UI: Database design, API contracts, frontend components, infrastructure. No tier is off-limits.
  • Surface: Greenfield build: Property management platform built from scratch. Multi-tenant from day one. Operator tooling, leasing, accounting, capital markets.
  • Cadence: Zero to one: Trunk-based development, short-lived branches, feature flags, working software in staging on a daily rhythm.
  • Impact: Foundational: What you ship in the first year becomes how the platform works for the next ten.

Key Responsibilities:

  • React surfaces: First-generation operator and resident-facing applications. React 18 with TypeScript, Vite, TanStack Query v5, React Hook Form, Zod. Component composition against the PDS Foundation design system. The patterns set here will be inherited by every surface that follows.
  • Service layer: TypeScript services on Node 20 LTS with NestJS or Express. OpenAPI contracts shared with the front end through code generation. JWT and OAuth flows, RBAC enforcement, structured audit logs, request-scoped tracing. The shared libraries that every future service will depend on.
  • Postgres data model: Multi-tenant schema design on Azure Database for PostgreSQL Flexible Server. Tenant isolation strategy, normalization tradeoffs, index strategy from day one, audit trails baked into the data model. Migrations through Prisma or Knex.
  • Warehouse integration: Stand up change data capture from Postgres into the Bronze layer of Enzo, our medallion warehouse. Establish read models surfaced from Gold-layer views back into product. Contract-first design with the data team.
  • Event-driven backbone: Asynchronous workflows over Azure Service Bus. Idempotent consumers, dead-letter handling, exactly-once where the business requires it. The async patterns the rest of the platform will adopt.
  • Infrastructure and Observability: Bicep modules for App Service, Functions, Container Apps, Service Bus, Key Vault, and managed identities. Multi-stage Azure DevOps pipelines. Structured logs, OpenTelemetry, and SLO definitions in place before we ever take production traffic.
  • Stack
    • Front End: React 18 + TypeScript 5
      • React 18 with Suspense and concurrent features, TypeScript 5.x strict, Vite, TanStack Query v5, React Hook Form with Zod, the PDS Foundation design system through Figma MCP.
    • Back End: Node 20 + NestJS
      • Node 20 LTS, NestJS or Express, TypeScript strict mode, Prisma against Postgres, BullMQ on Redis for background work, OpenAPI 3.x contracts generated for both sides.
    • Data: Azure Postgres + Fabric
      • Azure Database for PostgreSQL Flexible Server, Azure Data Factory for orchestration, Microsoft Fabric lakehouse with Bronze/Silver/Gold layers, Power BI Premium, Python and PySpark on the data team.
    • Cloud: Microsoft Azure
      • App Service Premium, Function Apps, Container Apps, Service Bus with sessions, Key Vault with managed identities, Application Insights, Front Door Premium, private endpoints throughout.
    • Devops: GitHub + Azure DevOps
      • GitHub for source and PR review, Azure DevOps multi-stage YAML pipelines for CI/CD. Trunk-based development, required reviews, automated test gates, environment promotion via parameters.
    • Infrastructure: Bicep + Terraform
      • Bicep modules for first-party Azure, Terraform for cross-cloud and third-party providers. Remote state in Azure Storage with locking, drift detection in pipelines.

Qualifications: 

  • Required:
    • Five-plus years in production: building web applications. You have taken a system from greenfield to production, or rebuilt the foundations of one that needed it.
    • TypeScript depth: generics, conditional types, discriminated unions, branded types. You know when to reach for them and when to stop.
    • React expertise: hooks, render optimization, error boundaries, Suspense. You can diagnose a re-render storm and you've written a custom hook that earned its keep.
    • Production Node.js: event loop awareness, streaming and backpressure, memory profiling, graceful shutdown, structured logging.
    • Relational data modeling: schema design, normalization tradeoffs, index strategy, partitioning, query plan analysis. You catch N+1 in code review.
    • API design: REST conventions, idempotency, versioning, pagination, OpenAPI specifications, authentication patterns (OAuth 2.0, JWT, session).
    • Azure or equivalent: production experience with App Service, Functions, identity, networking, observability. AWS or GCP at the same depth is fine.
    • CI/CD and IaC discipline: pipeline-as-code, environment promotion, automated test gates, infrastructure as reviewed artifacts, no clicks in the portal.
  • Preferred:
    • Postgres extensions in production: pg_stat_statements, pgvector, pgcrypto, PostGIS, logical replication.
    • Lakehouse and BI tooling at production scale: Microsoft Fabric, Power BI Premium with DAX, Python and PySpark on the data plane.
    • Event-sourced architectures, CQRS, sagas, or domain-driven design applied to a real codebase.
    • LLM-assisted engineering: Claude Code, Cursor, or retrieval-augmented internal tooling shipped to other engineers.
    • Real estate, property management, financial services, or other regulated-industry domain experience.
    • RUST development experience.