Data Engineer - Entry Level: Build Scalable Pipelines

ActiveProspect, Inc.; San Jose (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

ActiveProspect, Inc. is seeking an entry‑level Data Engineer to design, build, and maintain scalable data pipelines and analytical models using SQL, Snowflake, dbt, Fivetran, Kafka, and Python.

You will work hands‑on with our modern data stack, growing toward full ownership of data engineering workloads, including ingestion, transformation, and data quality across analytics and operations.

Qualifications

• Strong SQL skills and Python proficiency for data pipelines.
• Experience with data modeling and ETL/ELT development is a plus.

Responsibilities

• Build, transform, and process datasets to keep data accurate, reliable, and available for analytics and business decisions.
• Maintain high-quality data infrastructure supporting reporting, analytics, and operational insights, including pipeline ingestion, transformation, modeling, and data quality.
• Level 1 support for pipeline failures, monitoring, and data quality.

Skills

SQL

Python

Data modeling

ETL/ELT

Data quality

Monitoring

Performance optimization

Tools

Snowflake

dbt

Fivetran

Kafka

Job description

ActiveProspect, Inc. is seeking an entry‑level Data Engineer to design, build, and maintain scalable data pipelines and analytical models using SQL, Snowflake, dbt, Fivetran, Kafka, and Python.

You will work hands‑on with our modern data stack, growing toward full ownership of data engineering workloads, including ingestion, transformation, and data quality across analytics and operations.