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Remote Data Platform Engineer Jobs in Ashburn, VA

Senior Data Platform Engineer

Washington, DC ยท Remote

$120K - $163K/yr

We are currently seeking a talented and motivated Senior Data Platform Engineer for a remote federal program opportunity on our team. Position Overview The Senior Data Platform Engineer serves as a ...

Focus on engineering, building, and maintaining shared platform capabilities, data pipelines ... data pipelines and devise techniques for resolving or mitigating them. * Ability to support remote ...

Platform Engineer

Mclean, VA ยท On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242482 Location: McLean,VA,US Share job via: Share Platform Engineer The Opportunity: As a Platform Engineer, you'll help build and operate the foundational ...

This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote. NCBI is ... data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse ...

Cloud Platform Engineer

VA ยท On-site +1

$56 - $74.75/hr

This is a remote position. Maximus is a trusted federal partner supporting mission-critical ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

M365 Platform Engineer

VA ยท On-site +1

General information Job Posting Title M365 Platform Engineer Date Wednesday, June 3, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is a trusted ...

... platform (APEX). The DevOps Engineer will work with the AI and Application Development team to ... Administer and optimize AWS data services including DocumentDB, OpenSearch, Redis, Aurora Postgres ...

Senior Platform Engineer

Mclean, VA ยท Remote

$107K - $146K/yr

Senior Platform Engineer Location ... Remote Employment Type: Full Time Work Authorization: Must be authorized to work in the United ...

Data Engineer II

Washington, DC ยท On-site +1

$125K/yr

This role is focused on elevating data quality, driving platform modernization, and leading the ... Remote friendly (within the U.S.) * And more! The salary range for candidates who meet the minimum ...

Senior Platform Engineer

Mclean, VA ยท Remote

$107K - $146K/yr

Senior Platform Engineer Location ... Remote Employment Type: Full Time Work Authorization: Must be authorized to work in the United ...

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Showing results 1-20

Remote Data Platform Engineer information

See Ashburn, VA salary details

$45.5K

$132.6K

$181.5K

How much do remote data platform engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data platform engineer in Ashburn, VA is $132,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $140,600.00 per year, depending on experience, location, and employer.

What is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

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

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the most commonly searched types of Data Platform Engineer jobs in Ashburn, VA?

The most popular types of Data Platform Engineer jobs in Ashburn, VA are:

What are popular job titles related to Remote Data Platform Engineer jobs in Ashburn, VA?

For Remote Data Platform Engineer jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Remote Data Platform Engineer jobs in Ashburn, VA look for?

The top searched job categories for Remote Data Platform Engineer jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Remote Data Platform Engineer jobs?

Cities near Ashburn, VA with the most Remote Data Platform Engineer job openings:

Infographic showing various Remote Data Platform Engineer job openings in Ashburn, VA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $132,649 per year, or $63.8 per hour.

Senior Data Platform Engineer

NuAxis Innovations

Washington, DC โ€ข Remote

$120K - $163K/yr

Full-time

Posted 10 days ago


Job description

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution.

Technology is our Passion. People are our Purpose.

We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us; it's a state of mind.

We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Senior Data Platform Engineer for a remote federal program opportunity on our team.

Position Overview

The Senior Data Platform Engineer serves as a hands-on technical lead for the Federal Client Datahub, an event-driven data platform built on the Confluent Platform for Apache Kafka and deployed on Kubernetes. The role owns the full portfolio of Java microservices - Kafka consumers, producers, and Kafka Streams applications, as well as non-Kafka services such as REST API web services - along with the deployment and ongoing maintenance of the supporting Confluent Platform and an Elasticsearch cluster. Beyond the data platform, this position serves as solution architect, technical subject matter expert, and senior technical decision maker for the wider FLAG system, and acts as a technical point of contact for DOL stakeholders and integrating federal partner teams.

Key Responsibilities

  • Kafka Streams application development - Design, build, and maintain stream processing applications including stateful topologies, foreign-key joins, and state stores.
  • Microservice and integration development - Build and maintain Spring Boot services, Kafka consumer/producer applications, and REST API web services integrating with Oracle, MySQL, MongoDB, Elasticsearch, managed search services, and downstream partner APIs.
  • Kubernetes workload engineering - Own the deployment topology for all platform workloads: StatefulSets with persistent state, liveness/readiness/startup probes, pod anti-affinity, PodDisruptionBudgets, graceful shutdown, and resilience to node lifecycle and consolidation events.
  • Production operations and incident response - Serve as senior escalation for production issues; perform root-cause analysis across the stack (JVM, Kafka client, DNS/networking, database, container runtime) and produce written RCAs with corrective actions.
  • Confluent Platform and Elasticsearch administration - Deploy, configure, upgrade, and tune the Confluent Platform components (brokers, Connect, Schema Registry, REST Proxy) and the Elasticsearch cluster; manage schema compatibility, connector configuration, consumer group offsets, index lifecycle and versioned index migrations, topic sizing, and storage expansion.
  • Database and query engineering - Own data access and query performance across Oracle, MySQL, MongoDB, Elasticsearch, and Azure Search indexes - including PL/SQL and reporting views, document modeling and aggregation pipelines, index mappings and query DSL, and search index schema design; diagnose performance regressions and environment-specific data issues.
  • Solution architecture and technical leadership - Provide architectural direction and technical decision-making for the wider FLAG system, including integration points with the Appian application and the public-facing web applications.
  • Stakeholder engagement - Act as a technical point of contact for DOL government stakeholders and integrating federal partner teams; translate technical constraints into clear options and tradeoffs for non-engineering decision makers.
  • Platform modernization - Lead framework and runtime upgrades across the codebase (JDK, Spring Boot, serialization libraries, client SDKs), including compatibility analysis, remediation, and phased rollout through environments.
  • Security compliance and vulnerability remediation - Execute recurring container image scan cycles; remediate CVEs via Dockerfile changes and dependency overrides, and author false-positive and risk-acceptance justifications that meet federal POA&M documentation standards.
  • Observability and monitoring - Build dashboards, log-based metrics, and alerting for service health and availability; instrument applications for meaningful operational signals.
  • Technical communication and mentorship - Write design documents, migration plans, and recommendation memos; mentor other developers on the platform and its operational practices.

Technical Skills and Capabilities

Core Languages and Frameworks

  • Java (required)
  • Spring Boot, Spring Framework, Spring Data
  • Maven multi-module builds
  • SQL / PL-SQL

Streaming and Messaging

  • Apache Kafka (brokers, topics, partitions, consumer groups, offsets, KRaft)
  • Kafka Streams (stateful processing, joins, state stores, application reset, rebalancing/threading model)
  • Confluent Platform (Schema Registry, Kafka Connect, REST Proxy)
  • Apache Avro and schema evolution/compatibility
  • Kafka Connect connectors (JDBC sink/source, Elasticsearch sink)

Cloud and Container Platform

  • Kubernetes (Deployments, StatefulSets, PVCs, probes, PDBs, anti-affinity, HPA, ConfigMaps/Secrets)
  • Docker and container image hardening
  • Helm, kubectl
  • AWS (EKS, EC2, S3, IAM, CloudWatch, Lambda, EventBridge, ECR)
  • Azure exposure (desirable)

Data Stores and Search

  • Oracle Database (query tuning, stored procedures, views, execution plans)
  • MySQL
  • Elasticsearch (index design, aliases, versioned index migration, Java client, PIT pagination, cluster deployment and upgrades)
  • MongoDB (CosmosDB Mongo API)
  • Managed search services such as Azure AI Search

Operations, Security, and Tooling

  • Observability: CloudWatch Logs Insights, log-based metrics, dashboards, alerting
  • Container vulnerability scanning and remediation
  • Git, CI/CD pipelines, Linux development environments
  • REST API design and OpenAPI/Swagger documentation

Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now!!

Our Profile:

We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed.Time after time, programs failed because the focus was on the tools and products and not the people using them. ย Learn More.

NuAxis is an Equal Opportunity/Affirmative Action Employer, including Vets and Disabled. Employment is contingent upon successful completion of a background investigation.ย Learn Moreย about our Benefits and Culture!

#NAI #DICE

Employment Type: Full time