Senior Data Engineer

Job summary

Design, build, and operate scalable, production-grade data solutions and reliable pipelines, taking ownership from design through deployment and monitoring. Contribute to architectural decisions and engineering standards, collaborate across the business, and mentor other engineers.

Job details

Location - Pittsburgh, Boston, Toronto or Montreal Why Confluence? At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence. We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key components of the data platform, working hands-on with modern tools and technologies to build reliable, high-quality data pipelines. You’ll collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing. This is a developer-focused role, with a strong emphasis on solving complex data challenges through clean, maintainable code. Why Join Us? Work on meaningful data challenges that have real business impact Collaborate with a supportive and knowledgeable team Opportunity to influence architecture and engineering standards Grow your leadership skills through mentoring and project ownership Applicants must be within a commutable distance (within 2 hours or 80 miles) of one of the listed offices. Essential Experience 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 cloud platforms such as AWS, Azure, or GCP Ability to take ownership of work end-to-end, from design through to deployment and monitoring Nice to Have Experience working with financial or regulated data environments Familiarity with orchestration tools such as Airflow or AWS Step Functions Exposure to streaming or near real-time data pipelines Benefits Confluence offers generous benefit packages for team members. As a growing, global organization, we are always looking for ways to ensure that our employees can access benefits that matter to them and their families. This includes: 🕚 Generous Time Off packages including additional half days with each public holiday in your location. 🌎 Global Career Development opportunities 🎊 Social Events 💵 Referral Bonus scheme - Upto $3,000 per successful referral 🚀 Plus many more! More about the Location We offer flexible working options for all employees. Values We look for people who align with our 4 values. Integrity Face reality with honesty, courage and accountability Imagination Deal creatively with challenges and envision what the world could be Discipline Build good habits into reflexes which become a part of our life Service Committed to the success of others If you would like to find out more about a Career at Confluence, please apply today. If you believe that this job posting is noncompliant, please email us at recruitment@confluence.com. Pre-Employment Screening Disclaimer As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening. Please note that additional checks may be required depending on the nature of the role and the jurisdiction in which the role is based or operates. These may include, but are not limited to, criminal record checks or financial background checks where applicable. As a leading global technology solutions provider to the investment management industry, Confluence helps clients solve complex investment data challenges across the front, middle and back office. Headquartered in Pittsburgh, PA, Confluence services over 1000 clients in 40 countries, with locations across Europe, North America, South Africa, Australia and Asia.

What you’ll do

Design, build, and operate scalable, production-grade data solutions and reliable pipelines, taking ownership from design through deployment and monitoring. Contribute to architectural decisions and engineering standards, collaborate across the business, and mentor other engineers.

Requirements

Requires solid Python experience in data engineering, advanced SQL skills, hands-on Snowflake experience, and experience designing and operating production-grade ETL pipelines at scale. Candidates should have exposure to a cloud platform and be able to own work end to end; financial or regulated data, orchestration tools, and streaming pipelines are advantageous.

Benefits

• Generous Time Off
• Global Career Development Opportunities
• Social Events
• Referral Bonus

Listed skills

• Microsoft Azure · Preferred
• Amazon Web Services · Preferred
• Google Cloud · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Advanced SQL
• Snowflake
• Data Engineering
• ETL Pipelines
• Cloud Platforms
• AWS
• Azure
• GCP
• Data Pipeline Monitoring
• Airflow
• AWS Step Functions
• Streaming Data Pipelines
• Near Real-Time Data Pipelines
• Data Architecture
• Mentoring

Job areas

• Data & Analytics
• Technology
• Software
• Finance & Accounting
• Management & Leadership