Data Engineer
Data Engineer
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1 Vacancy
Job Description
Data Engineer Databricks & Cloud AI
Location:Hybrid (Remote with occasional onsite as needed)
Clearance:Must be eligible for Public Trust
We are seeking a skilled and innovativeData Engineerwith at least 6 years of experience designing and implementing large-scale data solutions. The ideal candidate will bring deep expertise inDatabricks a strong foundation inAI/ML infrastructure and a passion for solving complex data challenges in a hybrid federal environment.
Key Responsibilities:
- Design build and optimize scalable data pipelines using Databricks and modern data tools.
- Collaborate with data scientists and ML engineers to support AI-driven analytics and workflows.
- Develop and maintain robust data architectures for both real-time and batch processing.
- Apply best practices for data security governance and compliance aligned with federal standards.
- Integrate structured and unstructured data sources to enable high-quality business insights.
- Monitor and troubleshoot performance issues optimizing data processing systems.
- Work with cross-functional teams to translate business needs into technical data solutions.
Required Skills & Qualifications:
- 6 years of professional experience in data engineering.
- Bachelors degree in Computer Science Information Technology Engineering Data Science or a related field.
- Proven expertise with Databricks Apache Spark and distributed computing frameworks.
- Strong experience with cloud platforms (AWS Azure or GCP preferred).
- Demonstrated experience supporting AI or machine learning infrastructure.
- Proficiency in Python SQL and version control systems such as Git.
- Experience with ETL/ELT processes and orchestration tools (e.g. Airflow dbt).
- Excellent communication skills and ability to collaborate across teams.
- Must be able to obtain and maintain a Public Trust clearance.
Work Environment:
This is a hybrid role requiring occasional onsite presence based on project or client needs. Candidates must reside in the U.S. and be willing to work onsite as needed.
Employment Type
Full Time
