Data Platform Engineer

Peraton is hiring a Data Architecture, Lead Associate. This work is 100% remote.

This role builds and extends a greenfield data and AI platform supporting federal background investigation work. Working alongside the platform’s lead engineer, you’ll develop and maintain the pipelines, transformations, and data products that move the platform forward - growing your ownership as the platform matures. This is hands-on engineering in a high-trust environment where FedRAMP Moderate, NIST 800-171, and CUI handling shape how the work is built.

Active clearance preferred; candidates able to obtain one encouraged to apply.

• Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed, analysis-ready data products.
• Extend the platform following the architecture, patterns, and standards set by the lead platform engineer.
• Contribute to infrastructure-as-code (Terraform) and CI/CD pipelines that promote work into the accredited production environment.
• Monitor data quality, pipeline reliability, and performance; troubleshoot and resolve issues.
• Apply data governance, cataloging, and access-control practices within the established framework.
• Support the data science and ML team by delivering the governed datasets and tooling they need.
• Operate within FedRAMP Moderate, NIST 800-171, and CUI constraints in day-to-day engineering.
• Collaborate closely with the engineering team and maintain clear documentation of pipelines and processes., Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, enforcing security and compliance, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires extensive infrastructure and data engineering experience across cloud platforms, containers, data security, and workflow orchestration. Top Skills: Apache AirflowApache SupersetAWSAzureCi/CdData ModelingDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform, ServiceNow

• U.S. Citizenship required.
• Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance; active clearance preferred.
• 4 years building and maintaining production data pipelines.
• Strong proficiency in Python and SQL.
• Hands-on ETL / data pipeline development and sound analytical data modeling.
• Working familiarity with cloud data platforms (Azure preferred; AWS or GCP fine) and version control / CI/CD workflows.
• Solid analytical, troubleshooting, and communication skills.
• 5 years work experience with BS/BA, * Databricks experience (or a comparable lakehouse stack: Spark, Delta, dbt, Snowflake).
• Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads.
• Experience in regulated or accredited environments: FedRAMP, NIST 800-171, CMMC, or CUI handling.
• Active security clearance (T5/SSBI or higher).
• Government or defense contracting experience.
• Familiarity with data governance / cataloging tooling (e.g., Unity
• Catalog) and orchestration tools (Airflow, dbt).

Soft Skills

• Dependable, self-directed execution with minimal oversight.
• Strong collaboration across technical and non-technical teams.
• Clear documentation and knowledge-sharing.
• Eagerness to grow ownership and learn the compliance environment.

Build and maintain production data ingestion, transformation, and pipeline systems for a governed federal data and AI platform. Develop data products, contribute to Terraform infrastructure and CI/CD, monitor quality and reliability, troubleshoot issues, and apply governance and access controls. Support data science and ML teams while operating within FedRAMP, NIST 800-171, and CUI requirements. Collaborate with engineers and document pipelines and processes. The summary above was generated by AI, 22 Days Ago Remote or Hybrid 191K-334K Annually Senior level 191K-334K Annually Senior level Artificial Intelligence * Cloud * HR Tech * Information Technology * Productivity * Software * Automation Build and operate a security data platform connecting SIEM, identity, asset, threat intelligence, and knowledge graph systems. Design core APIs, distributed data pipelines, schemas, risk scoring, entity resolution, and coverage queries. Own architecture and platform workstreams from scoping through delivery, collaborate with detection and identity teams, review code, mentor engineers, and drive partner adoption. The role requires expert Python, deep Splunk expertise, cybersecurity experience, and senior-level project ownership. Top Skills: Asset InventoryAsynchronous Data PipelinesIdentity GovernanceKnowledge GraphsLarge Language ModelsMachine LearningMessage BusMitre Att&CkPythonRetrieval-Augmented GenerationSchema RegistrySIEMSplSplunkSplunk Apis Alkami, 132K-165K Annually Senior level 132K-165K Annually Senior level Financial Services Build and maintain data lakes, data warehouses, and modern data pipelines for a multi-tenant SaaS platform. Design end-to-end data processes, write pipeline and infrastructure code, conduct design reviews, optimize performance, monitor systems, support data governance, and troubleshoot scalability and security issues. Collaborate with technical and business stakeholders, mentor junior engineers, evaluate technologies, document platform architecture, automate testing, and participate in on-call rotation. Top Skills: AthenaAWSAws CloudformationCassandraCi/CdDynamoDBEksEmrGlueGreenplumInfrastructure As CodeKafkaKinesisKubernetesLambdaMongoDBMskPostgresPythonRdsRedshiftS3SQLSQL ServerTerraform

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