Top Remote Python Jobs in Washington, DC

Design, build, and maintain scalable production data pipelines and APIs in a Databricks/Spark environment. Integrate and transform diverse health, financial, and operational datasets into reusable data products, implement data validation and governance, optimize pipeline performance, and collaborate with engineers, architects, and stakeholders to deliver reliable analytics datasets and platform capabilities.

Build, operate, and scale cloud-native backend services and APIs for a high-volume vehicle marketplace. Embed AI-driven capabilities into features, use AI tools to accelerate development, participate in on-call rotations, improve reliability, and collaborate with Product, Data, Infrastructure, and SRE teams to deliver production-ready systems.

Design and deliver scalable, secure data platforms and architectures (Databricks/cloud) for customers. Split time between billable and pre-sales, lead solution design, mentor teams, ensure data governance and security, validate ETL/data pipelines, produce documentation and presentations, and manage multiple customer accounts to deliver production-ready data solutions.

Develop, test, and maintain platform features and services for a digital health platform. Collaborate with product and design teams, write clean code, participate in reviews, debug issues, assist with API development and integrations, and help improve performance, reliability, and scalability while learning modern tools and cloud technologies.

Lead design and implementation of Doowiis frontend, backend, and data systems. Define architecture, build scalable ingestion and analytics pipelines, optimize storage and query performance, ship AI-driven features (LLM/text-to-SQL, embeddings), improve observability and deployment, and mentor engineers while partnering with product and ML teams.

Lead and manage cloud-native software engineering teams to design, build, deploy, and operate scalable, secure cloud applications. Define cloud strategy, CI/CD, architecture standards, modernization initiatives, and engineering KPIs. Recruit and mentor engineers, collaborate with product, security, DevOps, QA, and stakeholders, and ensure compliance, reliability, and performance across public, private, and hybrid cloud environments.

Lead refactoring and optimization of scalable data pipelines, design next-generation distributed storage and processing systems, build clean interfaces for diverse data consumers, mentor engineers, and establish engineering standards and processes.

Develop production-grade Python solutions to integrate with complex third-party APIs, parse and flatten messy data, automate infrastructure tasks, write and optimize PySpark transformations in Microsoft Fabric, build internal tooling/CLIs, and ensure code quality, testing, and CI/CD integration.

As a Software Engineer, you will design and build backend services for Relativity's generative AI platform, focusing on scalability and reliability in distributed systems.

As a Customer Engineer, you'll implement AI solutions for contact centers, collaborate on integrations, and enhance customer success through technical solutions.

Design, build, and maintain scalable, secure backend services in Python. Implement SQL and NoSQL data models, CI/CD pipelines, and containerized deployments. Collaborate with product, front-end, and design teams, perform code reviews, optimize performance, troubleshoot production issues, mentor junior engineers, and improve development processes and infrastructure.

Own and evolve the Core Platform architecture: design and operate scalable APIs, event-driven distributed services, SDKs and AI-integrated workflows. Ensure reliability, observability, performance, and security; provide technical leadership, mentor engineers, and drive best practices.

Build scalable backend services and data pipelines to process large healthcare datasets, integrate and optimize LLM-driven features, implement observability and best practices, collaborate across frontend, data, and AI teams, and own end-to-end feature delivery for production systems.

Build and maintain core financial backend systems (trading, ledger, billing), transaction processing, reconciliation, and portfolio state management. Design and scale real-time and batch data pipelines, architect APIs and backend services, ensure reliability and observability, and contribute to distributed system design (event-driven, microservices, streaming). Partner with ML teams as needed.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Design, execute and automate tests for Angular/React web components, including accessibility (WCAG 2.1). Create test plans/cases, report defects, integrate automated tests into CI/CD, and collaborate with cross-functional teams using tools like Selenium/Cypress/Playwright, Jenkins, JIRA, and Zephyr.

Serve as Tier 3 escalation for an MSP-managed, security-focused practice supporting life sciences clients. Design Microsoft-centric secure architectures (Azure, Microsoft 365, identity, endpoints), lead migrations/onboarding, mentor engineers, own root-cause analysis, implement security controls and compliance alignment, and build automation and AI-assisted tooling (PowerShell, Claude) to reduce manual work.

Lead development of spacecraft Guidance, Navigation, and Control systems through full lifecycle: requirements, design, simulation, algorithms, flight software, and verification. Develop simulation tools, drive reuse of heritage Airbus products, support subsystem requirements and integration, and optimize designs for cost, manufacturability, and testing. Collaborate cross-functionally across spacecraft, payload, and launch integration activities.

Design, deploy, manage, and troubleshoot high-performance InfiniBand and Ethernet networks for HPC. Perform performance tuning, capacity planning, and monitoring. Implement Fortinet security, resolve routing/switching/latency issues, collaborate with compute and storage teams, document architectures, and participate in on-call escalation and upgrades.

Build and maintain cloud infrastructure and observability for scalable systems. Monitor, troubleshoot, patch, and automate operations using IaC, CI/CD, Kubernetes, and AI-driven automation. Manage backups, disaster recovery, log pipelines, databases, and message streaming. Collaborate with engineering, security, and business teams to improve reliability, incident response, and infrastructure lifecycle (including Terraform state cleanup and decommissioning).

Design and implement AI-powered finance systems and integrations for enterprise customers. Lead discovery, build automated workflows for reporting, forecasting, reconciliations and controls, design integrations across ERP/CRM/payment/BI platforms, build AI agents and validation logic, and coordinate cross-functional teams to deliver and continuously improve solutions.

Design, automate, and maintain scalable infrastructure and SRE tooling. Manage Kubernetes clusters, CI/CD, monitoring, and incident response. Improve processes, reduce toil via automation, and collaborate with engineering and data teams to support domestic and international workloads.

Lead architecture and delivery of scalable, resilient distributed web applications and AI/LLM-powered features. Drive technical vision, enforce engineering best practices, mentor engineers, collaborate with product and platform teams, and productionize generative AI capabilities with attention to testing, observability, security, and performance.

Own and scale corporate IT systems including Windows/macOS endpoints, MDM, identity (Okta, Google Workspace), SaaS administration, automation (PowerShell/Bash/Python/APIs), onboarding/offboarding, endpoint security, and audit readiness. Troubleshoot complex issues, build runbooks, and partner with Security, Engineering, People, and Operations to operationalize repeatable, compliant IT processes.

Build and maintain low-latency research, market-data, simulation, and trading software. Improve performance, reliability, testing, and observability; collaborate with traders and researchers to translate ideas into production-ready tools.