Sr Data Engineer

$195,520 - $195,520/Yr

The Judge Group - SeaTac, WA

Full-time - Senior

SeaTac, WA

Administrative and Support Services

About the position

Our client is currently seeking a Senior Data Engineer to join their team in SeaTac, WA. This position requires a strong background in data engineering and data management, with a focus on utilizing various data platforms such as Databricks, Snowflake, and Palantir Foundry. The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, along with 8 to 12 years of relevant experience. The role involves working with complex data integration challenges, data ingestion, ETL processes, and data modeling, making it essential for candidates to possess extensive knowledge in these areas. The Senior Data Engineer will be responsible for developing and maintaining data pipelines, ensuring data quality, and optimizing performance. The candidate should have experience with various programming languages, including Python, PySpark, Java, and SQL, as well as familiarity with cloud services such as AWS, Azure, or GCP. Experience with big data frameworks and metadata catalogs like DataHub, Informatica, or Collibra is also beneficial. The role requires strong problem-solving skills, excellent communication abilities, and a collaborative mindset to work effectively within a team. In addition to technical skills, leadership experience is crucial, as the Senior Data Engineer will be expected to mentor junior engineers and contribute to a positive team culture. Prior experience in aerospace manufacturing or a related industry is a plus, as it will enhance the candidate's understanding of the specific challenges faced in this sector. The successful candidate will be someone who can earn trust, maintain professional relationships, and foster an inclusive work environment.

Responsibilities

• Develop and maintain data pipelines for data ingestion and ETL processes.
• Ensure data quality and optimize performance of data systems.
• Collaborate with cross-functional teams to integrate complex data solutions.
• Mentor junior engineers and provide leadership within the team.
• Utilize programming languages such as Python, PySpark, Java, and SQL for data engineering tasks.
• Work with cloud services including AWS, Azure, or GCP to manage data storage and processing.
• Implement data modeling techniques to support data architecture.
• Utilize big data frameworks and metadata catalogs to enhance data management.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• 8-12 years of experience in data engineering and data management.
• Extensive knowledge of data ingestion, ETL processes, and data modeling.
• Strong problem-solving skills and ability to tackle complex data integration challenges.
• Experience with data reconciliation, data pipeline monitoring, and performance optimization.
• Excellent communication and teamwork skills.
• Leadership experience and ability to mentor junior engineers.

Nice-to-haves

• Prior experience in aerospace manufacturing or a related industry.
• Experience with data quality platforms like Anomolo, Informatica, or BigEye.
• Familiarity with event platforms such as Kafka or MSK.
• Experience with data platforms like Palantir Foundry, Databricks, or Snowflake.