Alphanumeric Systems

Lead Data Engineer – Databricks

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer – Databricks, offering $93–$100/hr. for a contract-to-hire position. Candidates should have expertise in Databricks, PySpark, SQL, and experience in financial services or insurance data environments. Remote work is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date
May 15, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Cloud #Azure #Data Engineering #"ETL (Extract #Transform #Load)" #Databricks #PySpark #Batch #AI (Artificial Intelligence) #Data Quality #Scala #Spark (Apache Spark) #Observability #SQL (Structured Query Language) #Delta Lake #GitLab #AWS (Amazon Web Services)
Role description
🚨 Now Hiring: Lead Data Engineer – Databricks 🚨 💲 $93–$100/hr. W2 Remote (EST Hours Preferred) | Richmond, VA Area Preferred | Contract-to-hire opportunity with anticipated conversion salary around $135K annually Please note: We are not accepting submissions from third-party vendors or staffing agencies for this opportunity. Candidates must be authorized to work in the United States on a W2 basis without current or future sponsorship requirements. Alphanumeric is partnering with a long-established leader in the financial and insurance industry to hire an experienced Data Engineer with deep Databricks expertise. We are seeking strong hands-on engineers who thrive building scalable cloud-based data solutions leveraging: ✔ Databricks ✔ Medallion Architecture ✔ PySpark & SQL ✔ Delta Lake ✔ Streaming & Batch Pipelines ✔ Unity Catalog ✔ CI/CD & GitLab ✔ Dimensional Modeling & SCD2 This team is modernizing enterprise data capabilities while developing advanced frameworks, data quality solutions, observability capabilities, and AI-driven initiatives including Intelligent Document Processing and document extraction from medical underwriting data. The environment is highly collaborative and ideal for engineers who enjoy: 🔹 Building from scratch 🔹 Solving complex data challenges 🔹 Working across architecture and engineering teams 🔹 Optimizing large-scale Databricks environments 🔹 Influencing best practices and scalable frameworks Preferred Backgrounds Include: ▪ Financial services or insurance data environments ▪ Azure or AWS Databricks ecosystems ▪ Enterprise-scale data engineering transformations This is an excellent opportunity to join a growing data engineering organization focused on innovation, modern cloud technologies, and advanced analytics initiatives. #Databricks #DataEngineer #PySpark #DataEngineering #Azure #AWS #DeltaLake #DataArchitecture #Hiring #RemoteJobs #SQL #BigData #RichmondVA #FinancialServices #InsuranceTech