Loading...
Senior Data Engineer at Constantcontact
ConstantcontactRemote, US or Remote, Ontario, Canada ·12h ago
SeniorFull-timePythonTerraformMachine LearningCI/CDData
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to join our team at Constant Contact. This role focuses on designing and building the next generation of our data infrastructure, handling massive volumes of behavioral, operational, and customer data. Your work will directly impact product features like segmentation, personalization, and marketing effectiveness measurement across our MarTech SaaS offering.
Key Responsibilities
- →Architect Scalable Systems: Design, develop, and maintain highly scalable, fault-tolerant, and performant ELT/ETL data pipelines using modern cloud data services to process billions of customer events daily.
- →Technical Leadership: Serve as a technical leader within the data team, defining data engineering standards, code review processes, and architectural best practices. Mentor junior and mid-level engineers on complex data challenges.
- →Data Modeling & Optimization: Lead the design and implementation of optimized data models in our cloud data warehouse to support real-time reporting, internal analytics, and machine learning initiatives.
- →Infrastructure as Code: Implement and manage data infrastructure using Terraform or CloudFormation to ensure reproducible and reliable deployment of data environments.
- →Ensure Data Quality & Governance: Establish advanced monitoring, alerting, and automated testing frameworks to enforce high standards of data quality, integrity, and regulatory compliance across all data assets.
- →Cross-Functional Collaboration: Partner closely with Product Managers, Data Scientists, and Software Engineering teams to translate business requirements into robust, production-ready data solutions.
Requirements
- ✓5+ years of professional experience in Data Engineering, focused on building large-scale, high-throughput data platforms.
- ✓Proficiency in SQL and extensive experience with modern cloud data warehouses, including advanced concepts like performance tuning, clustering, and materialized views.
- ✓Deep expertise in Python for data engineering, specifically for building and optimizing complex data processing applications.
- ✓Proven experience with a modern data pipeline orchestration tool and data transformation tool.
- ✓Demonstrable experience with streaming data technologies to handle real-time customer engagement data.
- ✓Strong understanding of DataOps principles, CI/CD practices, and using Infrastructure as Code tools.
Benefits
- ★Health and welfare benefits including paid leave
- ★Generous paid time off policy
- ★Competitive benefits package
- ★Opportunities for career growth and professional development
Free to sign up. Takes 30 seconds.
