Enterprise Data Engineer

Enterprise Data Engineer
Chantilly, VA 
TS/SCI and FSP is Required 
$200K to $250K 

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and ETL to extract, transform, and load structured and unstructured data from various sources.. The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes.
 
Key Responsibilities:

·  Write robust and efficient Python and SQL scripts to automate data processing tasks.
·  Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
·  Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability.
·  Ensure data structures are optimized for performance and scalability.
·  Provide technical guidance and support to ensure effective use of Palantir tools across teams.
·  Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets.
·  Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
·  Ensure proper data transformation and curation to meet business and analytics requirements.
·  Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes.

Required Skills:
·  3+ years of experience in data engineering.
·  Strong proficiency in scripting and programming with Python.
·  Expertise in working with SQL for data querying, transformation, and optimization.
·  Experience with data integration from diverse sources such as APIs, relational databases, and file systems.
·  Strong analytical and problem-solving skills with attention to detail.
·  Excellent communication and teamwork skills to collaborate with technical and business teams.
·  Active TS/SCI FSP is required to start. Role is FT on-site in Herndon, VA.
 
Preferred Skills:
·  Bachelor’s degree in Computer Science, Data Engineering, or a related field.
·  Hands-on experience with Palantir.
·  Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop).
·  Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar.