This position is no longer accepting applications
Closed on September 11, 2026.
This role is filled — get an email when new Data Processing roles open on DeveloperJobs.io:
Principal Data Engineer, People Data
Big Data
Data Analysis
Data Architecture
Data Engineer
Data Engineering Lead
Data Governance
Data Integration
Data Lineage
Data Pipeline
Data Platform
Data Processing
Data Quality
Data Warehouse
Database
Engineer
SQL
View similar jobs
Get alerted when similar jobs are posted — set up a New Data Processing jobs on DeveloperJobs.io alert.
See other roles at Okta.
Job Description
Okta is seeking a Principal Data Engineer, People Data to architect and operate scalable data solutions that power candidate and employee lifecycle insights across the HR and People organization.
Responsibilities
- Design, build, and evolve high-scale data solutions that act as the organization’s reference architecture and make data access simpler
- Create data quality frameworks including monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management rigor for externally reported metrics
- Standardize data modeling patterns, naming conventions, documentation practices, and metric governance across the data organization
- Lead cross-functional technical initiatives across data verticals to accelerate delivery and harden data systems
- Make sound technical decisions in ambiguous environments by balancing short-term delivery with long-term infrastructure investment
- Champion Data Contracts by implementing data contracts and schema evolution practices to improve reliability across global product teams
- Mentor and scale engineering capability by mentoring senior engineers, leading cross-functional task forces, and fostering a data-driven engineering culture
- Stay current on the data landscape and advocate for emerging technologies and practices to shape long-term technical direction
Requirements
- 10+ years in data engineering with senior or lead experience
- Federal government compliance and security requirements experience is highly desirable
- Expert-level experience with SQL and ETL/ELT tooling including Airflow and dbt
- Proven hands-on experience with MPP databases including Snowflake and Redshift
- Extensive hands-on experience with AWS services including S3, Lambda, EMR, ECR, and EKS
- People Data expertise focused on HR data: candidate lifecycle, employee records, compensation, and organizational data
- Experience designing data models for recruiting analytics, engagement signals, and workforce planning metrics
- Familiarity with Workday data structures is a plus
- Experience building and maintaining batch and real-time pipelines using technologies such as Spark and Kafka
- Deep experience with modern lakehouse and warehouse architectures such as Databricks and Snowflake, plus modern file formats like Iceberg and Delta
- Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (efficiency gains, quality improvements)
- Track record of hands-on collaboration with Data Science, Business, and Product teams
Skills & Technologies
- SQL, Airflow, dbt
- Snowflake, Redshift
- AWS: S3, Lambda, EMR, ECR, EKS
- Spark, Kafka
- Databricks, Iceberg, Delta
Location & Compensation
- Location: Washington, DC (hybrid)
- Salary: USD 197,000 - 270,600 per year
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
Similar Jobs
