Data & AI Engineer: Build AI-Driven Data Platforms

abra; Center (AL); On-site; USD 90,000 - 150,000; Full time

Job summary

You will collaborate with Data Scientists and BI teams, handle APIs, Docker, and cloud services, and help implement data models, lakehouse architectures, and end-to-end solutions.

Qualifications

• 3+ years of experience as a Data Engineer, Data Developer, or similar role.
• Strong hands-on experience with Python and SQL.
• Experience building ETL/ELT pipelines and data integration processes.
• Experience with Azure, AWS, or GCP.
• Experience with Airflow, Data Factory, Glue, dbt, or similar tools.
• Experience working with APIs, Docker, and cloud-native services.
• Hands-on experience with AI technologies such as LLMs, AI Agents, RAG, and Generative AI solutions.
• Experience with Databricks, Spark, PySpark, Snowflake, or BigQuery – Advantage
• Strong problem-solving skills and ability to deliver end-to-end solutions.

Responsibilities

• Design, build, and maintain scalable Data Pipelines and Data Platforms
• Develop ETL/ELT processes and cloud-based data solutions
• Work with structured and unstructured data from multiple sources
• Build AI-powered solutions including AI Agents, RAG pipelines, and LLM-based applications
• Integrate AI and Data solutions with enterprise systems using APIs and cloud services
• Develop data models, data warehouses, and lakehouse architectures
• Collaborate with Data Scientists, BI teams, and business stakeholders
• Monitor, optimize, and troubleshoot production environments

Skills

Python

SQL

LLMs

Gen AI

Tools

Airflow

Data Factory

Glue

dbt

Databricks

Spark

PySpark

Snowflake

BigQuery

Docker

APIs

Job description

You will collaborate with Data Scientists and BI teams, handle APIs, Docker, and cloud services, and help implement data models, lakehouse architectures, and end-to-end solutions.