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

Bizoforce is hiring Data Engineers with hands-on experience in Databricks, Apache Spark, PySpark, Python, SQL, and cloud data engineering. The role is suited for engineers who have experience developing production-grade ETL/ELT pipelines and working with modern cloud data platforms. The selected candidates will complete specialized Databricks training before deployment to a long-term enterprise engagement.

Experience

• Experience: 2–4 Years

Key Responsibilities

Data Engineering

• Develop and maintain production-grade ETL/ELT pipelines.
• Work with batch and streaming data processing environments.
• Build scalable data solutions using Apache Spark and PySpark.
• Perform data transformation, validation, and quality checks.

Databricks & Cloud Data

• Work with Databricks and modern cloud data platforms.
• Support data engineering workloads and enterprise data pipelines.
• Apply best practices for incremental processing and data management.

Database & Data Modeling

• Develop efficient SQL queries.
• Work with data modeling and data warehousing concepts.
• Support data quality, consistency, and reliability.

DevOps & Production Support

• Use Git and CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or GitLab.
• Follow software development lifecycle and deployment practices.
• Support production environments and troubleshoot data pipeline issues.

Required Skills

• Python
• SQL
• Apache Spark
• PySpark
• Databricks
• ETL / ELT
• Data Modeling
• Data Warehousing
• Git
• CI/CD

Preferred Skills

• Terraform
• Snowflake
• Redshift
• Synapse
• BigQuery
• AWS
• Azure
• Google Cloud
• Streaming Data
• Data Quality

Basic Skills Databricks | Python | SQL | Spark | PySpark | ETL/ELT | Data Modeling | Git | CI/CD

Qualifications

• 2–4 years of hands-on data engineering experience.
• Strong Python and SQL skills.
• Hands-on Apache Spark/PySpark experience.
• Exposure to Databricks or modern cloud data platforms.
• Experience developing production ETL/ELT pipelines.
• At least one Associate-level or higher AWS, Azure, or GCP certification.

Assignment Details

• Role: Data Engineer – Databricks
• Location: Washington, DC Metro Area
• Work Model: Remote during training; onsite at deployment
• Experience: 2–4 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
• Training Start: Expected ASAP / upcoming training cohort
• Deployment: Washington, DC Metro Area