Senior Data Engineer — Build Scalable Data Platforms Remote

airSlate; Town of Poland (NY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Stock options

Bonus program

Job summary

airSlate is seeking a data platform engineer to maintain a robust, scalable data stack supporting enterprise analytics and growth. You will build and optimize pipelines from internal databases and SaaS apps, write clean code, and document systems for long-term maintainability.

You will collaborate with Analytics Engineers and Data Analysts to drive efficiencies, implement DataOps principles, and extend the enterprise data model while staying current with evolving data engineering practices.

Qualifications

• Proven experience building and maintaining large data pipelines.
• Strong programming skills in Python/Scala/Java and SQL.
• Experience with Spark/Flink/Beam and data orchestration.

Responsibilities

• Maintain our data platform with timely and quality data.
• Plan and execute data platform expansion to support growth and analytics.
• Build and maintain data pipelines from internal databases and SaaS apps.
• Write maintainable, performant code and maintain docs.
• Collaborate with Analytics Engineers and Data Analysts to drive efficiencies.

Skills

Python/Scala/Java

Spark/Flink/Beam

Airflow/NiFi

SQL/NoSQL

Git/Docker/Kubernetes

Cloud AWS/GCP/Azure

Data Privacy/Security

CI/CD

Data Modeling

Tools

Git

Docker

Kubernetes

Jira

Job description

airSlate is seeking a data platform engineer to maintain a robust, scalable data stack supporting enterprise analytics and growth. You will build and optimize pipelines from internal databases and SaaS apps, write clean code, and document systems for long-term maintainability.

You will collaborate with Analytics Engineers and Data Analysts to drive efficiencies, implement DataOps principles, and extend the enterprise data model while staying current with evolving data engineering practices.