Enterprise - Data Engineer - Python, Palantir, SQL
About The Position
Erias Ventures is 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. This role involves writing robust and efficient Python and SQL scripts to automate data processing tasks, integrating data from diverse sources, implementing data transformations, and ensuring data structures are optimized for performance and scalability. The position also requires providing technical guidance on Palantir tools and implementing data quality checks and monitoring mechanisms. A current Top-Secret/SCI with polygraph security clearance is required, and candidates cannot be sponsored for a government security clearance.
Requirements
- 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.
- A current Top-Secret/SCI with polygraph security clearance is required.
Nice To Haves
- 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.
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.
- 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.
Benefits
- Above Market Hourly Pay
- 11% Roth or Traditional 401k with Immediate Vesting and Deposit
- Spot Bonuses for Assisting with Business Development and Company Growth
- Professional Development Bonuses for Certificates and Degrees
- Company subsidized Medical Coverage
- 100% Company Paid Vision and Dental Coverage
- 100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance
- Monthly Wellness Reimbursement
- Paid Time Off with Flexible Work Schedules and Birthday Off
- Amazon Prime Membership and Monthly Internet Reimbursement
- Technology and Productivity Allowance for Equipment and Supplies
- Morale Building and Company Events to Celebrate our Successes and Build our Community
- Onboarding and Annual Swag
- Company Paid Professional Development and Training
- Referral bonus of up to $10,000 for each successful hire.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
