Senior Data Engineer: Data Platform & AI Pipelines

D&H Distributing Co.; Harrisburg (Dauphin County); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Employee Stock Ownership Plan

401k

Paid Time Off

Medical, Prescription, Dental and Vis​

Gym Reimbursement

Work from Home Reimbursement

Employee Purchase Program

Tuition Assistance

Job summary

D&H Distributing Co. is seeking a Sr. Data Engineer – Data Platform to design, build, and maintain scalable data pipelines powering the enterprise analytics platform.

You will support SAP BDC/Datasphere integration, Databricks Lakehouse architecture, and AI-ready data modeling while modernizing legacy data environments. The role requires analytical, detail-oriented problem-solvers who engage with IT staff and business users.

Qualifications

• Bachelor’s degree or 8+ years of related experience.
• 2+ years’ experience with ETL data extraction.
• Experience writing complex SQL to extract and analyze data.
• Experience interfacing with business users and gathering requirements.
• Tableau and Cognos experience a plus.

Responsibilities

• Analyze the data warehouse to ensure efficiency and accuracy for reporting.
• Modify ETL processes for a growing data warehouse.
• Support, monitor, and optimize data warehousing on NETEZZA.
• Troubleshoot data and system issues and outages.
• Maintain data quality, completeness, redundancy, and improvement.
• Collaborate with business users to refine data models and pipelines.
• Develop scalable data pipelines and new data source integrations.
• Participate in on-call rotation for after-hours support.

Skills

SQL proficiency

Data analysis

ETL processes

Stakeholder engagement

On-call support

Education

Bachelor’s degree

Tools

Netezza

Tableau

Cognos

Databricks

Excel

Job description

D&H Distributing Co. is seeking a Sr. Data Engineer – Data Platform to design, build, and maintain scalable data pipelines powering the enterprise analytics platform.

You will support SAP BDC/Datasphere integration, Databricks Lakehouse architecture, and AI-ready data modeling while modernizing legacy data environments. The role requires analytical, detail-oriented problem-solvers who engage with IT staff and business users.