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Today

Staff Software Engineer, Data Platform (FedRAMP)

Okta Bellevue, WA

Bellevue, WA

Today

$194k - $267k/yr Full time Backend Developer AWS Big Data

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Job Description

Okta’s Data Platform organization is seeking an experienced Staff Software Engineer for its FedRAMP-focused environment. In this role, you will design, build, deploy, and continually optimize streaming infrastructure and data platform services that support analytics and machine learning use cases. The work centers on high-volume, low-latency distributed systems and foundational data services used to scale Okta’s security and data/ML capabilities.

What you’ll do

Design, implement, and take ownership of data-intensive, high-performance, scalable platform components
Collaborate with engineering teams, architects, and cross-functional partners on project development, including design and implementation
Participate in design reviews and code reviews, perform analysis, and conduct performance tuning
Coach and mentor engineers to help scale up the engineering organization
Debug production issues across services and multiple layers of the stack

What you bring

8+ years of experience using an object-oriented language, preferably Java
Hands-on experience with cloud-based distributed computing technologies, including messaging systems such as Kinesis and Kafka
Hands-on experience with data processing systems such as Flink, Spark, and Beam
Hands-on experience with storage and compute systems such as Snowflake and Hadoop
Hands-on experience with coordinators and schedulers such as Kubernetes, Hadoop, and Mesos
Experience developing and tuning highly scalable distributed systems
Excellent grasp of software engineering principles
Solid understanding of multithreading, garbage collection, and memory management
Experience with reliability engineering, including data quality, data observability, and incident management

Technologies you’ll work with

Java, Kinesis, Kafka
Flink, Spark, Beam
Snowflake, Hadoop
Kubernetes, Mesos
ElasticSearch

About the team

The Data Platform team builds foundational data services, systems, and data products for Okta that benefit users
Streaming analytics
Interactive end-user reporting
Data and ML platform to scale Okta
Telemetry of products and data

About the position

Scale high-volume, low-latency distributed data platform services and data products
Build foundational infrastructure to help Okta scale for years to come
Design, build, and deploy systems that power data analytics and ML
Work on an analytics infrastructure stack sitting on modern technologies including Kinesis, Flink, ElasticSearch, and Snowflake

Nice to have

Experience maintaining security, encryption, identity management, or authentication infrastructure
Hands-on use of major public cloud providers to build mission-critical, high-volume services
Experience building data integration applications for large-scale (petabyte scale) environments across both batch and online systems
Contributions to distributed systems or use of high-volume, high-criticality systems such as Kafka or Hadoop
Experience developing Kubernetes-based services on AWS Stack

Location and compensation

Bellevue, WA (hybrid)
USD 194,000 - 267,000 per year

Federal environment requirements

Ability to access federal environments and/or have access to protected federal data
Upon hire, submit documentation establishing U.S. Person status (for example, U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee under 22 CFR 120.15)

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2d ago

Senior Data Engineer

NIRA Inc. Washington, DC

Washington, DC

2d ago

$170k+/yr Full time Senior Apache Airflow Aws Govcloud

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Job Description

The Senior Data Engineer position supports the U.S. Department of Justice Digital Evidence Review Platform program. The role is responsible for designing, building, testing, operating, and improving high-volume data ingestion and processing pipelines that maintain integrity, provenance, auditability, access controls, and chain-of-custody information.

Responsibilities

Design, develop, test, operate, and optimize high-volume data ingestion, transformation, integration, and processing pipelines.
Ingest, normalize, enrich, validate, store, search, export, archive, and restore structured and unstructured data.
Process inputs such as forensic extraction packages, documents, messages, multimedia, call records, geolocation data, cloud-provider returns, metadata, and outputs from Government-furnished parsers and external systems.
Implement validation, hashing, error handling, retry, reconciliation, reprocessing, and data-quality controls.
Preserve source identifiers, processing history, lineage, provenance, and chain-of-custody events.
Support workflows for OCR, transcription, translation, deduplication, metadata extraction, entity extraction, and enrichment.
Develop schemas, canonical data models, metadata structures, and open, portable export formats.
Enable search, analytics, and AI/ML-enabled processing while maintaining human oversight and auditability.
Automate deployment and testing using CI/CD and configuration-management practices.
Tune pipeline performance and troubleshoot failures across development, test, UAT, production, and disaster-recovery environments.
Maintain technical documentation and collaborate with architects, software engineers, cloud integrators, cybersecurity personnel, and product specialists.

Requirements

Bachelor’s degree in engineering, mathematics, or science.
At least 15 years of relevant experience in data engineering, data integration, data architecture, software engineering, or large-scale data processing.
A master’s degree may substitute for two years of required experience; a PhD may substitute for four years.
Extensive experience designing, developing, and maintaining enterprise data ingestion, transformation, integration, and processing pipelines.
Experience processing structured and unstructured data from multiple sources and formats.
Experience with data modeling, metadata, schema design, data lineage, data quality, error handling, reconciliation, and audit logging.
Experience developing in Python, Java, Scala, SQL, or comparable data-engineering languages.
Experience with cloud-based data platforms, distributed processing, object storage, databases, search platforms, or analytics environments.
Experience supporting CI/CD, automated testing, configuration management, performance tuning, and production troubleshooting.
U.S. citizenship and ability to meet DOJ residency and personnel-security requirements.
Ability to obtain and maintain a High-Risk Public Trust investigation and PIV credential.

Technologies

Python, Java, Scala, SQL
CI/CD
OCR
Spark, Databricks, Kafka, Airflow
AWS GovCloud, Azure Government
FedRAMP-authorized SaaS
LLM/RAG

Preferred Qualifications

Experience with digital evidence, forensic data, eDiscovery, law-enforcement data, case-management data, or other high-integrity federal datasets.
Experience processing PDFs, text, messages, multimedia, call records, geolocation data, forensic extraction files, or large document collections.
Experience with OCR, natural-language processing, entity extraction, transcription, translation, deduplication, AI/ML enrichment, or LLM/RAG pipelines.
Experience implementing hashing, immutable audit records, provenance, lineage, retention, archival, and data-restoration controls.
Experience designing open-format exports, APIs, canonical schemas, or data-exchange interfaces that reduce vendor lock-in.
Experience with AWS GovCloud, Azure Government, FedRAMP-authorized SaaS, or hybrid federal cloud environments.
Experience with Python-based data frameworks, Spark, Databricks, Kafka, Airflow, cloud-native data services, or comparable technologies.

Location and Salary

Location: Washington, DC (onsite)

Compensation: USD 170,000 per year

Education

Bachelor’s degree in engineering, mathematics, or science.

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