Data Engineer

BlueMatrix • New York, NY

28d

About The Position

We're looking for a motivated Data Engineer to help build and scale our cloud-native data pipelines using Snowflake and dbt. This role is ideal for someone who enjoys solving data challenges, improving performance, and delivering trusted data to stakeholders across the business. WHAT WE DO Street Context is an entity of BlueMatrix. Together they develop one-of-a-kind web applications for the authoring, distribution, and analysis of investment research, and for internal knowledge management and digital communications. Our mission is to streamline the publishing process on a global scale. WHY WORK WITH US The BlueMatrix and Street Context teams are made up of ambitious and passionate people who have turned technology development and client service into an art. Many have dedicated the majority of their career to growing the BlueMatrix brand and helping shape the investment research marketplace. With locations in Toronto, New York City, Durham, London, Edinburgh, and Timisoara, Romania, we collaborate across the globe for a unique perspective on the impact of technology in our industry.

Requirements

• 3–6 years of experience as a data engineer in a cloud-based environment.
• Hands-on experience with dbt and Snowflake (must-have).
• Strong SQL skills and Python scripting for data manipulation and automation.
• Familiarity with data orchestration tools like Airflow or Dagster.
• Experience with cloud data ecosystems, especially AWS (S3, Glue, Lambda).
• Understanding of data warehouse design, ELT pipelines, and performance tuning.

Nice To Haves

• Experience with data observability and quality tools (e.g., Great Expectations, Monte Carlo).
• Exposure to infrastructure-as-code (e.g., Terraform).
• Prior involvement in cloud migration or legacy-to-modern data stack projects

Responsibilities

• Design, develop, and maintain ELT pipelines using dbt and Snowflake.
• Build and support data ingestion processes from internal and external sources using both batch and streaming pipelines.
• Create and maintain data models and transformations in dbt, following version control and CI/CD practices.
• Implement robust data quality checks, lineage, and testing processes.
• Collaborate with DevOps and cloud teams to monitor pipeline health and optimize infrastructure in AWS.
• Automate recurring workflows and contribute to self-service data tooling for internal teams.

Benefits

• Competitive Compensation (based on experience)
• Health Care Plan
• Generous Vacation/Personal Days
• Generous Referral Program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed