Bizoforce Hiring – Senior Data Engineer (Databricks, Spark, PySpark, Python, SQL) – Washington, DC Metro

Bizoforce is hiring a Senior Data Engineer – Databricks with strong experience in enterprise data engineering, cloud data platforms, Apache Spark, PySpark, Python, SQL, and production-grade ETL/ELT solutions. The ideal candidate will have experience delivering complex cloud data platform implementations, contributing to architecture and solution design, optimizing data workloads, and providing technical leadership to engineering teams.

Experience

• Experience: 4–7 Years

Key Responsibilities

Data Engineering & Databricks

• Design and develop scalable data engineering solutions using Databricks, Spark, and PySpark.
• Build and optimize production-grade ETL/ELT pipelines.
• Work with batch and streaming data processing architectures.
• Implement scalable data transformation and processing solutions.

Data Architecture & Modeling

• Analyze data architecture and contribute to solution design decisions.
• Work with data modeling, data warehousing, and change data capture.
• Implement data governance and data quality practices.
• Optimize data pipelines for performance and scalability.

Cloud Data Platforms

• Work with AWS, Azure, or GCP cloud data environments.
• Apply cloud-native data engineering practices.
• Support modern lakehouse and distributed data architectures.

DevOps & Delivery

• Implement Git-based development and CI/CD workflows.
• Support automated testing and deployment strategies.
• Work with infrastructure-as-code practices where applicable.
• Troubleshoot production data engineering issues.

Technical Leadership

• Contribute to technical architecture and solution design.
• Lead technical implementation activities.
• Mentor engineers and provide technical guidance.
• Collaborate with cross-functional teams and stakeholders.

Required Skills

• Databricks
• Apache Spark
• PySpark
• Python
• SQL
• ETL / ELT
• Data Modeling
• Change Data Capture
• Data Governance
• Performance Optimization
• Git
• CI/CD
• Cloud Data Platforms

Preferred Skills

• Delta Lake
• Lakehouse Architecture
• Snowflake
• Amazon Redshift
• Azure Synapse
• BigQuery
• Docker
• Kubernetes
• Terraform
• Infrastructure as Code
• AWS
• Azure
• GCP

Basic Skills

• Databricks | Spark | PySpark | Python | SQL | ETL/ELT | Data Modeling | Data Governance | Cloud | CI/CD

Qualifications

• 4–7 years of hands-on data engineering experience.
• Experience delivering multiple production-grade cloud data platform implementations.
• Advanced Python, SQL, and Spark/PySpark skills.
• Experience with Databricks and enterprise ETL/ELT.
• Experience contributing to solution design and architectural decisions.
• Experience leading technical implementation activities or mentoring engineers.
• At least one Associate-level or higher AWS, Azure, or GCP certification.

Assignment Details

• Role: Senior Data Engineer – Databricks
• Location: Washington, DC Metro Area
• Work Model: Remote during training; onsite at deployment
• Experience: 4–7 Years
• Open Positions: Multiple
• Relocation: Nationwide relocation considered
• Employment Type: Full-Time
• Work Authorization: US Citizens Only
• Sponsorship: Not available
• Background Investigation: Required
• Training: Paid remote Databricks specialization
• Deployment: Washington, DC Metro Area