Enterprise Data Engineer

NewGen

$100K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering
  • Strong proficiency in Python scripting
  • Proven expertise in SQL for querying and optimization
  • Experience in data integration from APIs and databases
  • TS/SCI FSP Clearance
  • Analytical and problem-solving skills
  • Strong communication and teamwork skills

Responsibilities

  • Write efficient Python and SQL scripts for automated data processing
  • Integrate data from various sources into centralized systems
  • Implement data transformations and modeling workflows
  • Optimize data structures for performance and scalability
  • Provide technical guidance for effective use of Palantir tools
  • Implement data quality checks and validation processes
  • Ensure proper data curation to meet analytics requirements

Benefits

  • Collaborative team environment
  • Opportunity for skills enhancement and career growth
  • Engagement with diverse data sources and technologies
  • Access to advanced tools and platforms like Palantir
  • Potential involvement in innovative data projects
Full Job Description
We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) 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.

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
Requirements
  • TS/SCI FSP Clearance
  • 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
Desired 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

Beth Morris
NewGen Technologies
Lead Senior Recruiter
bmorris @newgentechnologies.com
www.newgentechnologies.com

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