Data Engineer: Build AI-Driven Data Platform on AWS

Accelerant; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

Accelerant is seeking a Data Engineer to build and optimize a robust data platform that underpins its SaaS offering and analytics. You will design modern, metadata-driven data pipelines, APIs, and cloud infrastructure to enable data-driven decisions across the organization.

With 2+ years of data engineering experience, you will work in AWS with Snowflake, SQL, and Python, contributing to DataOps, real-time and batch ingestion, and guidelines that promote learning and knowledge sharing.

Qualifications

• 2+ years’ experience as a Data Engineer.
• Experience developing in AWS and Snowflake.
• Proficiency in SQL and Python.
• Knowledge of DataOps methodologies, tools, and processes.

Responsibilities

• Analyse and ingest new datasets from varied sources
• Design, build, and support cloud infrastructure
• Design, build, and support AI and ML processes and infrastructure
• Design and build modern, metadata driven data pipelines and data streams
• Design and build data service APIs
• Transform and cleanse complex datasets
• Analyse current business practices, processes and procedures
• Implement effective metrics and monitoring processes
• A commitment to learning and sharing knowledge

Skills

AWS

Snowflake

SQL

Python

DataOps practices

Data ingestion

Tools

dbt

Job description

Accelerant is seeking a Data Engineer to build and optimize a robust data platform that underpins its SaaS offering and analytics. You will design modern, metadata-driven data pipelines, APIs, and cloud infrastructure to enable data-driven decisions across the organization.

With 2+ years of data engineering experience, you will work in AWS with Snowflake, SQL, and Python, contributing to DataOps, real-time and batch ingestion, and guidelines that promote learning and knowledge sharing.