

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
-
💰 - Day rate
800
-
🗓️ - Date
May 15, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - 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
🚨 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






