Senior Data Engineer

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory to support analytical and operational workloads.

Requirements

• Must be able to obtain and maintain a Federal or DoD 'Public Trust' security clearance.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience.
• Five or more years of experience as a Data Engineer, including three years delivering enterprise solutions on Azure, specifically using Azure Databricks and Azure-native data services.

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend