Senior Data & AI Platform Engineer - Remote

Abstra

United States

Remote

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Company-provided equipment
20 days PTO per year
Professional growth opportunities
Collaborative, multicultural work环境

Job summary

Abstra is seeking a Sr Data and AI Engineer to design and deliver modern data platforms powering analytics and generative AI initiatives. You will build scalable data lakes, warehouses, and pipelines in cloud-native architectures, emphasizing automation and CI/CD.

The role focuses on hands-on engineering, IaC, and collaboration with architects, cloud engineers, and clients to transform complex requirements into secure, production-ready solutions.

Qualifications

  • 5+ years in data engineering or AI/ML
  • At least 1 year in the other domain
  • Experience writing SQL (any dialect) including stored procedures, CTEs
  • Significant programming experience (Python, Scala, Java) with Git
  • Experience with AWS/Azure/GCP cloud platforms
  • Ability to engage with customers and set expectations without a PM
  • IaC experience: Terraform/OpenTofu/CloudFormation
  • Data warehouses: Redshift/Snowflake/BigQuery
  • NoSQL databases and concepts: DynamoDB/Cassandra/Redis
  • Data streaming: Spark/Kafka/Kinesis

Responsibilities

  • Design and implement data pipelines, platforms, lakes, and warehouses
  • Deliver ML and GenAI solutions via IaC and CI/CD
  • Stay current on AWS and GenAI developments
  • Mentor junior engineers and collaborate with cloud teams
  • Build reusable data products for future engagements

Skills

Data engineering
AI/ML
Python
SQL
Git
Cloud platforms
Customer communication

Tools

Terraform
OpenTofu
CloudFormation
Docker
Kubernetes
Spark
Kafka
Redshift
Snowflake
BigQuery
DynamoDB

Job description

Abstra is seeking a Sr Data and AI Engineer to design and deliver modern data platforms powering analytics and generative AI initiatives. You will build scalable data lakes, warehouses, and pipelines in cloud-native architectures, emphasizing automation and CI/CD.

The role focuses on hands-on engineering, IaC, and collaboration with architects, cloud engineers, and clients to transform complex requirements into secure, production-ready solutions.

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