Databricks Engineer/Architects

Role: Databricks Engineers/Architects

Location: Remote + 25% travel (Headquartered in Fairfax, Virginia)

Salary Ranges are 140k-200k based on their experience/skills/level

Databricks Engineers/Architects Databricks Engineers/Architects that will be working with Databricks Federal which services numerous government agencies across the United States with specialized Databricks services.

Please read ALL BELOW:

Preferred Clearances:

Government Clearances: Top Secret, Secret, Public Trust, DHS Public Trust, TS/SCI-CI Poly etc.

Work Environment

Architect, engineering, consultative in nature

Candidates could be working across multiple government end clients and projects

Remote with 25% travel

Some travel may be required

Ideal Candidate Profile

Strong Databricks experience preferred.

Consultative mind set

Candidates must be able to be processed for a public trust clearance (clean background and clean credit)

DHS experience is a plus but not required.

Candidates should be comfortable working directly with customer environments and stakeholders.

100% remote but 30% travel as needed.

Proven experience working with Databricks in production environments.

Strong proficiency in Python and/or SQL for data engineering.

Experience with Apache Spark for distributed data processing.

Knowledge of data lakehouse architecture and best practices.

Experience with cloud data platforms (AWS S3, Azure Data Lake, or Google Cloud Platform Storage).

Hands-on experience building and managing ETL/ELT pipelines.

Strong understanding of data modeling, data quality, and performance tuning.

Familiarity with CI/CD pipelines and version control (Git).

Ability to travel, as needed, to customer sites.

Role Overview

We are seeking experienced Senior Databricks Consultants to join our team. This role involves leveraging expertise in Databricks, Python, and SQL to design, build, and manage robust data engineering solutions. The ideal candidate will have a strong background in data lakehouse architecture, cloud data platforms, and ETL/ELT pipeline development to support client objectives.

Key Responsibilities

Work with Databricks in production environments.

Utilize Python and/or SQL for data engineering tasks.

Apply Apache Spark for distributed data processing.

Implement data lakehouse architecture and best practices.

Build and manage ETL/ELT pipelines.

Conduct data modeling, ensure data quality, and perform performance tuning.

Use CI/CD pipelines and version control with Git.

Travel to customer sites as needed.

Required Qualifications

Technical Skills:

Proven experience with Databricks in production environments.

Strong proficiency in Python and/or SQL for data engineering.

Experience with Apache Spark for distributed data processing.

Knowledge of data lakehouse architecture.

Experience with cloud data platforms such as AWS S3, Azure Data Lake, or Google Cloud Platform Storage.

Familiarity with CI/CD pipelines and version control (Git)