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. Process large-scale structured and unstructured datasets using optimized batch and streaming pipelines leveraging Apache Spark, Delta Lake, Python, SQL, and Scala.
Requirements
- US Citizenship required
- Must be able to OBTAIN and MAINTAIN a Federal or DoD 'PUBLIC TRUST' security clearance
- Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience
- 5+ years of experience as a Data Engineer
- 3+ years delivering enterprise solutions on Azure, specifically using Azure Databricks and Azure-native data services
- Hands-on experience designing, building, and operating Azure Lakehouse architectures using Azure Databricks, ADLS Gen2, Azure Synapse Analytics, and Azure Data Factory
- Deep expertise in Apache Spark, Delta Lake, Python, SQL, and Scala
- Proven experience designing, developing, and maintaining scalable ETL/ELT pipelines using Databricks Workflows, Spark jobs, and Delta Lake, ensuring reliability, performance, and data quality
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
