Software Engineer, Data Platform

Persona

Software Engineer on Data Platform team at Persona, building scalable data systems for identity verification. Collaborating with engineering, data science, and infrastructure to optimize performance and reliability.

Posted 6/30/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and scaling data infrastructure, with a strong focus on data pipelines, distributed systems, and real-time data access. Proficient in Python and familiar with big-data technologies, ensuring effective collaboration across engineering and product teams.

Highest-signal resume keywords

Python ProficiencyBig-Data TechnologiesData Pipeline DevelopmentDistributed Systems FundamentalsReal-Time Data Access

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data InfrastructureData Pipeline DevelopmentDistributed SystemsPerformance OptimizationChange-Data-CaptureBatch IngestionStreaming IngestionQuery CapabilitiesData AnalyticsData Movement

Soft Skills

Excellent CommunicationCollaboration Skills

Tools & Technologies

SparkKafkaFlinkClickHouseDuckDBGoogle Cloud (GCP)KubernetesMySQLMongoDBSnowflake

Industry Keywords

DatalakeHigh-ThroughputLow-Latency Serving LayerHigh-Concurrency AccessStructured DataUnstructured Data

Tech Stack

Tools & technologies

CloudDistributed SystemsGoGoogle Cloud PlatformKafkaKubernetesMongoDBMySQLPythonSpark

About the role

Key responsibilities & impact

Build and scale our datalake
Develop high-throughput data-movement and ingestion services
Own streaming and batch ingestion and the change-data-capture pipelines
Build new query and analytics capabilities directly on the datalake
Operate the low-latency serving layer for real-time, high-concurrency access to platform data
Partner with infrastructure and product teams to provision, secure, and scale the platform

Requirements

What you’ll need

3+ years of experience in software engineering, with a focus on data infrastructure or large-scale distributed systems
Proficiency in Python
Excitement to ramp into Go
Hands-on experience with big-data or streaming technologies such as Spark, Kafka, or Flink
Experience building and operating scalable data pipelines across structured and unstructured data
Strong fundamentals in distributed systems, storage, and performance/cost optimization
Excellent communication and collaboration skills across engineering, data science, and infrastructure teams
Nice to have: ClickHouse, DuckDB, Google Cloud (GCP), Kubernetes, MySQL, MongoDB, Snowflake

Benefits

Comp & perks

medical, dental, and vision
3% 401(k) contribution
unlimited PTO
quarterly mental health days
family planning benefits
professional development stipend
wellness benefits
private medical insurance (for UK employees)
dental insurance (for UK employees)
6% employer pension contribution (for UK employees)
monthly wellness stipend (for UK employees)
co-working stipend (for UK employees)