Data Engineer - Build Scalable AI Data Pipelines

Real Chemistry; United States; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision plans

Paid time off

Mental wellness support

Access to online courses

Job summary

A leading healthcare technology company is seeking a Data Engineer to build and maintain scalable data pipelines that support AI products. This role involves collaborating with data scientists and product teams to ensure data quality across the organization. Required qualifications include a Bachelor's degree in a related field, 3–7 years of experience, and strong skills in SQL and Python. The position offers a comprehensive benefits program and opportunities for continuous improvement in a collaborative environment.

Qualifications

• 3–7 years of hands-on experience in data engineering or data pipeline development.
• Experience with streaming data tools such as Kafka or Kinesis is preferred.

Responsibilities

• Build, optimize, and maintain scalable ETL/ELT pipelines.
• Implement reliable and fault-tolerant ingestion and transformation workflows.
• Develop well-structured data models for analytics and ML use cases.
• Partner with data scientists and product managers to meet data requirements.

Skills

Strong SQL skills

Proficiency in Python or Scala

Data warehousing technologies (Snowflake, BigQuery, Redshift, Databricks)

Cloud services (AWS, Azure, GCP)

Data modeling and schema design

Distributed computing frameworks (Spark, Flink)

Workflow orchestration tools (Airflow, Prefect, Dagster)

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Tools

AWS

Azure

GCP

Job description

A leading healthcare technology company is seeking a Data Engineer to build and maintain scalable data pipelines that support AI products. This role involves collaborating with data scientists and product teams to ensure data quality across the organization. Required qualifications include a Bachelor's degree in a related field, 3–7 years of experience, and strong skills in SQL and Python. The position offers a comprehensive benefits program and opportunities for continuous improvement in a collaborative environment.