Senior Data Engineer

1 month ago

Renton, Washington, United States LanceSoft Full time
Data Engineer III

We are seeking a highly skilled Senior Data Engineer to join our team at LanceSoft. As a key member of our data engineering team, you will play a pivotal role in leveraging the Palantir Foundry platform to enhance our data capabilities.

Key Responsibilities:

Federate Data Ingestion and Curation:
Lead the efforts to streamline data ingestion and curation processes, ensuring efficient and scalable data handling within the Palantir Foundry platform.

Hydrate Ontology:
Spearhead the development and maintenance of the ontology, facilitating a structured and intuitive understanding of the data landscape.

Define Data Pipeline Standards:
Establish common standards for data pipelines, focusing on data quality, RBAC, and data classification to maintain integrity and security.

Develop Data Patterns and Standards:
Create and implement patterns and standards for CDC, incremental loads, and real-time data streaming, enhancing the platform's responsiveness and flexibility.

Lead Ontology Build:
Guide the construction of the ontology, ensuring it meets the complex needs of aerospace manufacturing data.

Mentor Data Engineers:
Provide leadership and mentorship to other data engineers, promoting the adoption of standards, patterns, and DataOps practices for federating data pipeline work across the enterprise.

Accelerate Delivery and Self-Service:
Drive the acceleration of data pipeline delivery and promote data self-service consumption, enabling faster decision-making and innovation.

DevOps Practices:
Design and implement DevOps practices for data operations, ensuring continuous integration, continuous delivery, and automated testing are at the core of the data engineering workflow.

Monitoring and Observability:
Establish comprehensive monitoring and observability frameworks for the data platform, enabling proactive issue detection and resolution to maintain high service availability.

Technology Stack Experience:
Programming Languages -Python, PySpark, Java, SQL
Databases -Postgres, Oracle

Cloud Services -AWS, Azure, GCP (storage, compute, databases, catalogs, streaming, replication, Queueing & Notification, Logging & Monitoring service) - any one of the cloud platforms is good but AWS is preferred.

Big Data Frameworks
Metadata Catalogs -DataHub, Informatica, Collibra (experience in any one is good)
Data Quality Platforms -Anomolo, Informatica, BigEye (experience in any one is good)
Event Platforms -Kafka, MSK
Data Platforms -Palantir Foundry, Databricks, Snowflake (experience in any one is good but Foundry experience will be a bonus)

Qualifications:
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
5-8 years required in the data engineering & data management with a strong focus on data platforms like Databricks, Snowflake or Palantir Foundry
Extensive knowledge of data ingestion, ETL processes, and data modeling.
Strong problem-solving skills and the ability to work with complex data integration challenges.
Experience with data reconciliation, data pipeline & data monitoring, and performance optimization.
Excellent communication and teamwork skills
Leadership experience and the ability to mentor junior engineers.
Prior experience in aerospace manufacturing or a related industry is a plus
Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion

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