Senior Data Platform Engineer

Mantech GRS Solutions Inc
Greenbelt, MD, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Amazon S3 Systems Engineering Build Automation Microsoft Azure Big Data Cloud Database Cloud Engineering Cloud Storage Databases Continuous Integration
+32 more
Data as a Services Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Stores Amazon DynamoDB Python (Programming Language) Operational Databases Software Engineering SQL Databases Systems Integration Unstructured Data Enterprise Data Management Data Logging Google Cloud Cloud Platform System Data Ingestion Cloudformation Amazon Relational Database Service Containerization Data Lakes Kubernetes Infrastructure Automation Frameworks Deployment Automation Integration Frameworks AWS Data Analytics Data Management Api Design Terraform Data Pipelines Serverless Computing Docker

Job description

Our client is seeking a remote Senior Data Platform Engineer to help build and operationalize scalable cloud-based data platforms supporting complex enterprise and technical workloads. This is a senior hands-on engineering role focused on turning platform and solution architectures into reliable, production-ready capabilities. Working closely with senior architects and application teams, you will implement the data ingestion, processing, storage, integration, API, and automation components that allow data to move securely and efficiently across the environment. The right person understands both data engineering and cloud platform engineering. You should be comfortable building data pipelines, integrating multiple systems, automating infrastructure and workflows, and solving the operational challenges that come with large-scale data platforms. What You Will Do

  • Design and implement cloud-based data-platform components and services.
  • Build scalable data ingestion, transformation, processing, and distribution pipelines.
  • Implement cloud storage, data repositories, databases, and supporting platform services.
  • Develop APIs and integrations that enable applications and systems to access and exchange data.
  • Translate architecture and solution designs into production-ready implementations.
  • Build automation that supports data movement, provisioning, processing, monitoring, and operational management.
  • Integrate structured, semi-structured, and unstructured data from multiple internal and external sources.
  • Develop solutions that improve data reliability, accessibility, quality, scalability, and performance.
  • Implement cloud-native services and containerized workloads where appropriate.
  • Support batch, event-driven, streaming, and API-based integration patterns.
  • Implement monitoring, logging, alerting, and operational controls for data pipelines and platform services.
  • Troubleshoot complex data-ingestion, integration, performance, and platform issues.
  • Partner with architects, software engineers, analytics teams, security teams, and business stakeholders.
  • Support CI/CD, Infrastructure as Code, and automated deployment practices.
  • Develop technical documentation, implementation standards, and reusable platform components., MANTECH is seeking a motivated, career-driven, and customer-focused Senior Systems Engineer to join our team in Laurel, MD. You will play a critical role in supporting the enterp…
  • 8 days ago

Requirements

  • 8+ years of experience in data engineering, software engineering, cloud engineering, or related technical roles.
  • Significant hands-on experience building production data pipelines and data platforms.
  • Experience implementing cloud-based data solutions within AWS, Azure, GCP, or comparable environments.
  • Strong experience with Python, SQL, or comparable data-engineering technologies.
  • Experience building data ingestion, transformation, processing, and integration workflows.
  • Experience working with cloud object storage, databases, APIs, and data services.
  • Experience designing or implementing APIs and system integrations.
  • Experience automating data and platform workflows.
  • Strong understanding of scalable, reliable, production-grade cloud architectures.
  • Experience troubleshooting complex data-platform and integration issues.
  • Must be able to hold a secuirty clearance, * Strong AWS data-platform experience.
  • Experience with services such as S3, Glue, Lambda, Step Functions, Redshift, RDS, DynamoDB, Kinesis, MSK, or equivalent technologies.
  • Experience with Docker, Kubernetes, and containerized data workloads.
  • Experience with Terraform, CloudFormation, or other Infrastructure as Code tools.
  • Experience implementing CI/CD pipelines for data or cloud platforms.
  • Experience with data lakes, lakehouse architectures, data meshes, or large enterprise data platforms.
  • Experience working with scientific, environmental, geospatial, or other complex datasets.
  • Experience in federal or regulated technology environments.

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