Senior Data Engineer
Confluence Technologies6 months ago
Pittsburgh, PA, USASenior
Responsibilities
- Design and build reliable, high-quality data pipelines and scalable data solutions.
- Own data-platform components end-to-end from design through deployment and monitoring.
- Design and run production-grade ETL pipelines at scale.
- Contribute to architectural decisions and engineering standards.
- Collaborate with teams across the business to solve complex data challenges.
- Mentor engineers and share knowledge.
- Support streaming or near-real-time data pipeline initiatives as needed.
Requirements
- Solid Python experience in a data engineering environment.
- Advanced SQL skills and hands-on experience with Snowflake.
- Experience designing and running production-grade ETL pipelines at scale.
- Exposure to AWS, Azure, or GCP.
- Ability to take ownership of work from design through deployment and monitoring.
- Experience with financial or regulated data environments is preferred.
- Familiarity with Airflow or AWS Step Functions is preferred.
- Exposure to streaming or near-real-time data pipelines is preferred.
Benefits
- Generous time-off packages, including additional half days with each public holiday in the employee’s location.
- Global career development opportunities.
- Social events.
- Referral bonus scheme of up to $3,000 per successful referral.
- Flexible working options; the posting is marked hybrid.
- Applicants must be within a commutable distance of a listed office: Pittsburgh, Boston, Toronto, or Montreal.
Tech Stack
Categories
Data Engineering
About Confluence Technologies
Confluence Technologies builds software for the investment management industry, including data management, performance and risk analytics, and regulatory and investor reporting for asset managers, asset owners, and service providers. Founded in 1991 and headquartered in Pittsburgh, it is privately held under Clearlake Capital and expanded its analytics portfolio by acquiring StatPro in 2019. The company serves a global client base across front, middle, and back-office workflows.