Data Engineer II: Scalable AWS Pipelines & ML Data

airSlate Inc.; Town of Poland (NY); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Flexible working environment

Stock options

Professional growth

Health benefits

Family-friendly culture

Giving back

Open communication

Job summary

airSlate Inc. is seeking a data-focused engineer to design and maintain scalable data pipelines and data warehouses in AWS. You will develop SQL transformations and analytical datasets for BI and ML workloads, build ETL/ELT processes, and deliver production-grade data for elasticity modeling and experimentation.

You’ll contribute to data governance and CI/CD-driven MLOps workflows, collaborating with distributed teams while supporting marketing analytics and campaign data pipelines.

Qualifications

• Bachelor's or Master's in CS, Data Eng, IS, or equivalent.
• 2–4+ years in data engineering or backend data roles.
• Experience building data pipelines and data warehouses in AWS.
• Strong SQL for transformations and data modeling.
• Python proficiency for pipelines.
• Familiarity with ETL/ELT and data quality practices.
• Knowledge of AWS services (S3, Redshift, Lambda, CloudWatch).

Responsibilities

• Design and maintain scalable data pipelines and data warehousing infrastructure.
• Develop and optimize SQL transformations and analytical datasets for BI/ML.
• Build reliable ETL/ELT processes with data quality checks.
• Create feature-ready datasets and support ML feature engineering.
• Deliver production-grade data to support analytics and elasticity modeling.
• Support data governance and cost optimization.
• Enable AI/LLM integrations through robust data services.

Skills

SQL

Python

Data pipelines

Data analytics

Analytical thinking

English communication

Education

Bachelor's or Master's in CS/Data Eng/IS or related field

Tools

AWS

S3

Redshift

Lambda

CloudWatch

Job description

airSlate Inc. is seeking a data-focused engineer to design and maintain scalable data pipelines and data warehouses in AWS. You will develop SQL transformations and analytical datasets for BI and ML workloads, build ETL/ELT processes, and deliver production-grade data for elasticity modeling and experimentation.

You’ll contribute to data governance and CI/CD-driven MLOps workflows, collaborating with distributed teams while supporting marketing analytics and campaign data pipelines.