Data Engineer
Unchain Data
- Denver, Colorado, United States
- Denver, Colorado, United States
À propos
The company is experiencing unprecedented growth as the world continues to evolve in complexity and demand for its products increases. With a team made up of visionary and uncompromising individuals, Kharon is committed to shaping the way businesses perceive and navigate global risks.
The Role Kharon is seeking a full-time Data Engineer based in Denver, Colorado. This role requires in-office attendance 3 days a week.
Responsibilities
Help build large-scale distributed automated data processing systems and data lakes, while optimizing for both computational and storage efficiency on AWS Databricks.
Create data pipelines, infrastructure, and overall workflow orchestration to pull data from a diverse set of data sources into the Kharon Data Lake.
Build systems to track, monitor and validate the quality of data coming into or going out of Kharon Data Lake.
Collaborate with engineers, architects, and data scientists to implement scalable solutions to solve complex problems.
Interact and develop with internal and external APIs.
Work with product and business teams to define novel and critical metrics for the business.
Follow good engineering practices like documentation, diagrams, and unit/validation tests.
Take full responsibilities for the development, deployment, adoption monitoring and maintenance of the data systems and services you build.
Requirements
3+ years of experience, not including internships as a software engineer or a data engineer and a strong passion to learn.
BS/MS in Computer Science or equivalent experience in related fields.
Experience in Python, Pandas, PySpark, and Notebooks.
SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc.
Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence.
Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent.
Container-based deployment experience using Docker and Kubernetes.
Strong verbal and written communication skills.
Nice to Have
Experience working with or data modeling for graph databases like Neo4J, Neptune, etc.
API experience using FastAPI, Flask, Spring Boot or equivalent.
Understanding of elasticsearch data and query modeling.
Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk.
Benefits
Fully sponsored medical, dental, and vision insurances
FSA program for both medical and dependent care
Long term disability
401k + Roth with matching and immediate vesting
Flexible paid time off + 11 paid holidays
Compensation The base salary range is $120,000 to $160,000 per year. This figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package.
Job Details Department:
Engineering
Location:
Denver
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Compétences linguistiques
- English
Avis aux utilisateurs
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