Technology

Sr Data Engineer

Canyon AssociatesPrinceton, NJ🇺🇸United StatesPosted Oct 2, 2026

Why This Role Stands Out

This hybrid Sr. Data Engineer role at Canyon Associates offers an exciting opportunity to shape impactful data solutions using advanced SQL, Python, and Big Data technologies, with potential for leadership and AI/ML integration. You'll thrive here if you possess strong ETL and data warehousing expertise and enjoy a collaborative environment that fosters continuous learning and career advancement. Apply today to leverage your skills and contribute to a reputable firm!

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

Princeton, NJ, United States

Posted

5 days ago

MySQLSQLShellAWSETLSnowflakeBashC++HadoopKafkaLLMPostgreSQLPython

Job Description

Significant experience in designing and developing data warehouses and ETL pipeline.
Strong expertise in SQL/Advanced SQL and working with relational database systems (MySQL, PostgreSQL, Snowflake, or similar).
Strong expertise with one or more programming language(s) (C++, Python).
Strong expertise in Linux/UNIX and bash shell scripting.
Significant experience processing large amounts of structured and unstructured data, including integrating data from multiple sources.
Significant experience with SQL performance tuning.
Experience with markup languages (JSON, XML, YAML).
Experience with NoSQL, Time Series (OneTick) databases a strong plus.
Experience with AI/ML technologies, including LLM-based agents, and workflow automation platforms (e.g., AWS Bedrock, n8n) a plus.
Experience with market data protocols and structures (e.g., FIX, exchange order book / top-of-book data) a plus.
Experience mentoring or guiding junior engineers a plus.
Familiarity with Big Data Frameworks/Hadoop-based technologies (e.g., Spark, HDFS, Kafka, Yarn, etc.) a plus.
Well versed in industry standard architecture design methodologies, dimensional data modeling and processes.
Strong written and oral communication skills.
Self-directed and motivated to work in a fast-paced team-oriented environment.

Education and Experience

Minimum of a Bachelor s degree or equivalent in Computer Science or Engineering or other relevant field.
Master s degree (e.g., M.S., M.B.A.) or equivalent is preferred but not required.
5+ years of experience building ETL and related data processing and transformation technologies to build large-scale data analytics solutions.
Financial industry experience a plus.