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Azure Data Platform Engineer Jobs in Washington (NOW HIRING)

Data Engineer

Arlington, VA ยท On-site

$150K - $155K/yr

... platform solutions. The measures of an ideal candidate include communication skills, technical ... Build complex data solutions in an Azure Cloud environment. * Maintain the Azure components and ...

... platform solutions. The measures of an ideal candidate include communication skills, technical ... Build complex data solutions in an Azure Cloud environment. * Maintain the Azure components and ...

Data Engineer

Mclean, VA

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... platforms, data lakes, and lakehouse environments, preferably on Microsoft Azure. * Experience ...

Senior Data Engineer

Mclean, VA ยท On-site

$107K - $145K/yr

Azure certifications (for example, Azure Data Engineer) or equivalent cloud/data platform certifications. * Experience implementing CI/CD for data engineering, MLOps pipelines, or data platform ...

Showing results 21-40

Azure Data Platform Engineer information

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

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

What are some common challenges Azure Data Platform Engineers face when integrating data from multiple sources?

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

What are the key skills and qualifications needed to thrive as an Azure Data Platform Engineer?

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.

What are popular job titles related to Azure Data Platform Engineer jobs in Washington?

For Azure Data Platform Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Azure Data Platform Engineer jobs in Washington look for?

The top searched job categories for Azure Data Platform Engineer jobs in Washington are:

Senior Data Platform Engineer

NuAxis Innovations

Washington, DC โ€ข On-site

$120K - $163K/yr

Other

Posted 7 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; itโ€™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 โ€” Kafka consumers, producers, and Kafka Streams applications, as well as non-Kafka services such as REST API web services โ€” 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 โ€” Design, build, and maintain stream processing applications including stateful topologies, foreign-key joins, and state stores. Microservice and integration development โ€” 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 โ€” 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 โ€” 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 โ€” 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 โ€” Own data access and query performance across Oracle, MySQL, MongoDB, Elasticsearch, and Azure Search indexes โ€” 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 โ€” 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 โ€” 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 โ€” 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 โ€” 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 โ€” Build dashboards, log-based metrics, and alerting for service health and availability; instrument applications for meaningful operational signals. Technical communication and mentorship โ€” 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 missionโ€”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.โ€ฏTime after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity/Affirmative Action Employer, including Vets and Disabled. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture! #NAI #DICE