Senior Data Engineer — Databricks & Data Pipelines (Onsite)

Acarin Inc; Columbia (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Acarin Inc in Columbia, MD is seeking a Senior Data Engineer to lead data integration, modeling, and analytical initiatives for client projects. The role emphasizes Databricks, Apache Spark, SQL, and cloud data services in an onsite consulting environment.

You will design scalable pipelines, data warehouses, and data lake architectures, mentor peers, and collaborate with data scientists, analysts, and stakeholders across engagements.

Qualifications

• Bachelor's degree required in a technical field; 9+ years in data engineering/data architecture roles.
• 3+ years hands-on Databricks and Apache Spark experience.
• US Citizenship or Permanent Resident status required.
• Onsite work in Columbia, MD preferred.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL using Databricks and related technologies.
• Architect data warehouse and data lake infra to support BI and analytics.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements.
• Optimize data processing workflows for performance, reliability, and cost.
• Implement data quality monitoring and validation across systems.
• Mentor junior team members and provide technical guidance.
• Engage in client meetings to gather requirements and present solutions.
• Troubleshoot complex data issues in production environments.
• Stay current with emerging data technologies and propose improvements.

Skills

SQL & databases

Cloud platforms

Programming languages

Data modeling & warehousing

Big data & distributed computing

Communication & teamwork

Onsite collaboration

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Databricks

Apache Spark

Job description

Acarin Inc in Columbia, MD is seeking a Senior Data Engineer to lead data integration, modeling, and analytical initiatives for client projects. The role emphasizes Databricks, Apache Spark, SQL, and cloud data services in an onsite consulting environment.

You will design scalable pipelines, data warehouses, and data lake architectures, mentor peers, and collaborate with data scientists, analysts, and stakeholders across engagements.