Senior Data Engineer – Investment Tech Pipelines & ETL

Hushh Technologies LLC.; Kirkland (WA); Hybrid; USD 150,000 - 200,000; Full time

Job summary

Hushh Technologies LLC is seeking a data engineering professional to build and maintain data pipelines powering investment strategies in Kirkland, WA. The role involves developing scalable systems for ingesting, processing, and analyzing large datasets in cloud environments.

You will implement robust ETL workflows, ensure data quality, and collaborate with researchers and portfolio managers to provide accessible, high-quality data for decision-making.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Strong experience with SQL, Spark, Kafka, or Hadoop in cloud-based environments like AWS/GCP.
• Proficiency in Python, Java, or other programming languages for building robust ETL pipelines.
• Knowledge of financial data structures and market datasets is a significant advantage.
• Problem-solving mindset with experience in troubleshooting complex data pipelines.

Responsibilities

• Build and maintain data pipelines and infrastructures that power the firm's investment strategies.
• Develop and optimize scalable systems for ingesting, processing, and analyzing large-scale datasets.
• Implement ETL workflows and ensure high data quality and availability.
• Collaborate with researchers and portfolio managers to provide accessible, high-quality data for decision-making.
• Integrate alternative datasets, market feeds, and proprietary sources to enhance data utility.

Skills

Problem-solving mindset

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field

Tools

SQL

Spark

Kafka

Hadoop

Python

Java

Job description

Hushh Technologies LLC is seeking a data engineering professional to build and maintain data pipelines powering investment strategies in Kirkland, WA. The role involves developing scalable systems for ingesting, processing, and analyzing large datasets in cloud environments.

You will implement robust ETL workflows, ensure data quality, and collaborate with researchers and portfolio managers to provide accessible, high-quality data for decision-making.