Senior Data Engineer for AI-Driven Insights (Remote)

itD Tech; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical benefits

401k plan

Paid holidays

Job summary

itD is seeking a Data Engineer IV to design and scale data infrastructure powering customer experience insights across the Company Post Sales Organization. You will develop robust data pipelines, enable AI-driven analytics, and deliver high-impact data solutions that enhance customer support, operations, and business decisions.

The ideal candidate brings 6+ years in data engineering, strong SQL and Python skills, and hands-on experience with ETL/ELT pipelines at scale, data warehouses, and

Qualifications

• 6+ years of experience in data engineering, analytics, or related domain.
• Strong proficiency in SQL (complex queries, performance tuning) and Python.
• Experience designing and building production-grade ETL/ELT pipelines at scale.
• Hands- on experience with workflow orchestration tools (e.g., Airflow or equivalent).
• Experience with data warehousing platforms (e.g., Spark, Hive, Snowflake, BigQuery).
• Experience building data visualizations and dashboards (Tableau or similar tools).
• Strong understanding of data modeling and data governance best practices.
• Experience enabling AI/ML workflows, including feature pipelines or AI-assisted analytics.

Responsibilities

• Design, build, and maintain scalable data pipelines (batch and streaming) to support multiple business use cases.
• Develop and optimize ETL/ELT workflows, data models, and data warehouse architectures for efficient data processing.
• Implement data quality frameworks including validation, monitoring, and alerting to ensure data reliability.
• Create and maintain self-service dashboards and visualizations to communicate insights to stakeholders.
• Enable AI/ML-driven analytics by building feature pipelines and integrating model-ready datasets.
• Automate data workflows and reporting using AI tools to improve efficiency and reduce manual effort.
• Collaborate cross-functionally with product, engineering, and operations teams to deliver data-driven solutions.

Skills

SQL

Python

ETL/ELT pipelines

Workflow orchestration

Data warehousing

Data visualization

Data modeling

AI/ML workflows

Generative AI tools

Streaming data

CI/CD & Git

Infrastructure as code

Education

Bachelor’s degree in Computer Science or related field

Tools

Airflow

Spark

Hive

Snowflake

BigQuery

Tableau

Kafka

Job description

itD is seeking a Data Engineer IV to design and scale data infrastructure powering customer experience insights across the Company Post Sales Organization. You will develop robust data pipelines, enable AI-driven analytics, and deliver high-impact data solutions that enhance customer support, operations, and business decisions.

The ideal candidate brings 6+ years in data engineering, strong SQL and Python skills, and hands-on experience with ETL/ELT pipelines at scale, data warehouses, and