Databricks Data Engineer — Remote Training, Onsite Deployment

Bizoforce Inc.; Washington, Northern (District of Columbia, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Bizoforce Inc. is hiring a Data Engineer for the Washington, DC metro area, focusing on Databricks, Python, SQL, and Spark/PySpark. The role involves designing scalable data solutions, building ETL/ELT pipelines, and supporting data models within cloud platforms.

The position starts with remote training, followed by on-site deployment in the Washington, DC metro area, with opportunities for senior leadership and mentoring across projects.

Qualifications

• 2–7 years of hands-on data engineering experience.
• Experience with production-grade cloud data platforms.
• Strong design and leadership experience for senior roles.
• Proficiency with Databricks, Spark, PySpark and data modeling.

Responsibilities

• Design, develop, and maintain scalable data solutions using Databricks, Python, SQL, and Spark/PySpark.
• Build and optimize ETL/ELT pipelines for batch and streaming workloads.
• Develop data models supporting warehousing and incremental processing.
• Work with CDC, data quality, governance, and performance optimization.
• Implement CI/CD, automated testing, and deployment strategies.
• Support production data platforms and troubleshoot data issues.
• Mentor engineers and contribute to architectural decisions.

Skills

Databricks

Python

SQL

Apache Spark / PySpark

ETL / ELT

Data Modeling

Data Warehousing

Batch & Streaming

Change Data Capture (CDC)

Data Quality

Data Governance

Performance Optimization

Git / CI/CD

Production Support

Cloud Data Platforms

Education

Associate-level or higher certification

Tools

Docker

Kubernetes

Terraform

AWS

Azure

GCP

Delta Lake

Lakehouse

Snowflake

Redshift

Synapse

BigQuery

Job description

Bizoforce Inc. is hiring a Data Engineer for the Washington, DC metro area, focusing on Databricks, Python, SQL, and Spark/PySpark. The role involves designing scalable data solutions, building ETL/ELT pipelines, and supporting data models within cloud platforms.

The position starts with remote training, followed by on-site deployment in the Washington, DC metro area, with opportunities for senior leadership and mentoring across projects.