Senior Data Engineer — Build Scalable Data Pipelines

ABCorp; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Benefits package

Professional growth opportunities

Job summary

ABCorp is hiring a Senior Data Engineer in Boston to own the data infrastructure and ETL pipelines that power analytics and product decisions. You will architect the data backbone, from ERP and CRM data to the modern warehouse, enabling scalable insights across fintech, healthcare, and government sectors.

The ideal candidate brings deep SQL, Python, and dbt experience, plus hands-on Azure data services expertise.

Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of data engineering with ELT/ETL pipelines and data warehouses.
• Expert SQL with performance tuning and data warehouse patterns.
• Hands-on with dbt for modeling, testing, and lineage management.

Responsibilities

• Design, build, and own end-to-end data pipelines into Snowflake/modern warehouse with reliability and observability.
• Modernize legacy data processes and migrate data from ERP/CRM systems to the data warehouse.
• Develop and maintain dbt models that drive metrics and insights for analytics teams.
• Implement and oversee CI/CD, data contracts, and data-quality monitoring across pipelines.

Skills

SQL

Python

dbt

Data Warehousing

ETL pipelines

CI/CD

Data Quality

Data Modeling

Azure Cloud

Leadership

Education

Bachelor’s degree in CS/Engineering/IS

Tools

Azure Synapse Analytics

Azure Databricks

Azure Data Factory

ADLS

SQL Server

ERP Systems

Job description

ABCorp is hiring a Senior Data Engineer in Boston to own the data infrastructure and ETL pipelines that power analytics and product decisions. You will architect the data backbone, from ERP and CRM data to the modern warehouse, enabling scalable insights across fintech, healthcare, and government sectors.

The ideal candidate brings deep SQL, Python, and dbt experience, plus hands-on Azure data services expertise.