Senior Data Engineer - Scalable Pipelines & ML

Jobicy; United States; Remote; USD 160,000 - 195,000; Full time

Job summary

Socure is hiring a Senior Data Engineer to join its Data Automation team. You will design and build scalable data platforms and pipelines that power Socure’s identity verification products and analytics.

This role is ideal for someone who has a strong passion for solving real business problems with data, and combines hands-on engineering with ownership. You’ll own end-to-end data initiatives, collaborate with Data Science, Product and Engineering, and leverage Python/Scala, SQL, Spark, and AWS

Qualifications

• 5+ years of hands-on data engineering experience building production-grade data platforms and pipelines.
• Proficient in Python or Scala for data processing and SQL for analytics.
• Deep experience with distributed data processing frameworks, notably Apache Spark, with performance tuning.

Responsibilities

• Design and build batch and streaming data pipelines to support automated ingestion, ML feature engineering and analytics.
• Own end-to-end delivery of complex data initiatives, including architecture, implementation, testing, deployment, monitoring and documentation.
• Develop data platform with cloud-native technologies to support large-scale processing.
• Automate data operations (validation, quality checks, alerting, backfills, recovery) to improve reliability.
• Collaborate with Data Science, Product and Engineering to translate requirements into solutions.

Skills

Data Engineering

Apache Spark

AWS

Python

SQL

Data Pipelines

Streaming Data

Data Warehousing

Airflow

CI/CD

Tools

EMR

Lambda

S3

Airflow

Job description

Socure is hiring a Senior Data Engineer to join its Data Automation team. You will design and build scalable data platforms and pipelines that power Socure’s identity verification products and analytics.

This role is ideal for someone who has a strong passion for solving real business problems with data, and combines hands-on engineering with ownership. You’ll own end-to-end data initiatives, collaborate with Data Science, Product and Engineering, and leverage Python/Scala, SQL, Spark, and AWS