Senior Data Engineer, Loopio
CA$125.3-167k
+ Equity
More information about location
RFP software provider
Open for applications
RFP software provider
201-500 employees
Open for applications
CA$125.3-167k
+ Equity
More information about location
201-500 employees
Company mission
To empower clients to shine in every response.
Role
Who you are
- Data Engineering & Cloud Expertise: 5+ years of experience in data engineering, with hands-on experience in ETL, data architecture, and cloud-based data platforms. Strong proficiency in AWS (S3, RDS, Redshift, Glue, IAM, DynamoDB)
- Advanced DB engines expertise & Data Processing: Deep understanding of database design, query optimization, and data modelling. Expertise in distributed data processing frameworks (Spark, Databricks, Presto)
- Software Development & Orchestration: Strong Python and PySpark development skills. Experience with CI/CD pipelines (Jenkins) and data workflow automation (Airflow, Databricks Jobs)
- Scalable Systems & Performance Tuning: Proven ability to build and optimize large-scale data infrastructure, ensuring low-latency access, efficient storage, and high reliability
- Leadership & Collaboration: Strong problem-solving skills, ability to work in fast-paced environments, and experience mentoring engineers or driving technical initiatives
- Questioning your qualifications? Read this. Hi there, we recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups
- Whether or not your experience ✅ checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table
What the job involves
- We are looking for an experienced Data Engineer to join the Applied Science team within Engineering, building and supporting data that drives analytics for both internal teams and Loopio’s customers
- This role focuses on empowering teams with valuable data assets to improve decision-making productivity, and acts as a reliable foundation for any research and analysis activities
- You'll play a key role in shaping Loopio’s data strategy in a dynamic and evolving technology landscape
- You will partner closely with ML Engineers, Software Developers, Data Scientists, Product Managers, and other business stakeholders to help us take Loopio’s data value to the next level
- This role requires close collaboration with teams across Canada, the UK, and India
- Ownership and Leadership: Act as a glue between stakeholders, engineering teams, and researchers to drive progress on complex, shared initiatives. Be an expert in your area and a go-to person for data-related requests and enquiries
- Scalable Data Platforms & ETL Pipelines: Design, build, and optimize data pipelines to support high-scale data ingestion, transformation, and storage. Develop efficient ETL workflows using Databricks, Redshift, and various AWS cloud technologies
- Data Engineering for ML & Analytics: Develop and maintain a feature store to support predictive models, AI-driven insights, and data science applications. Enable seamless integration of structured (RDS, MySQL) and unstructured (clickstream, logs) data into the data lake / data warehouse / data mart layers
- Automation & Orchestration: Build robust automation tooling for data orchestration, testing, monitoring, and administration. Leverage workflow orchestration tools (Airflow, Databricks Workflows) to streamline data operations
- Cloud & Big Data Infrastructure: Architect scalable data solutions leveraging AWS services (S3, Redshift, Lambda, RDS, DMS) and distributed computing frameworks (PySpark, Lambda fleets, etc). Optimize query performance and ensure reliability in high-volume environments
- Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, and business stakeholders to create AI-powered insights, drive product improvements, and enable data-driven decision-making
Our take
Loopio provides RFP response software to companies in a variety of industries including healthcare, financial services and telecommunications. Its platform streamlines responses to proposal requests, requests for information and due diligence questionnaires, helping firms to improve sales efficiency and unlock growth opportunities.
The company boasts an impressive client list including DocuSign, PayPal and American Express. Loopio expects its client base to continue growing, bolstered by a 2023 independent study that shows that clients of the company can experience a three-year return on investment alongside almost $6 million in business benefits.
Loopio has used funding to accelerate product development and customer acquisition, as well as expand its team. It has also partnered with Door, a digital due diligence platform for asset management and research teams. This partnership exemplifies a mature caution in Loopio's expansion aims, helping them to keep in control of their growing business.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Funding (2 rounds)
Apr 2021
$200m
GROWTH EQUITY VC
Feb 2018
$8.7m
SERIES A
Total funding: $208.7m
Company benefits
- Robust Health Benefits
- Extended Parental Leave
- Employee Stock Options
- Professional Mastery Budget
- Remote Work Subsidies
- Annual Company Retreat
- Generous Paid Time Off Program
- Team Socials
Company HQ
Downtown Yonge East, Toronto, ON
Leadership
Zak Hemraj
(Co-Founder & CEO)Prior to co-founding Loopio, Zak spent 8 years at Achievers, joining as a Software Developer before moving into the role of Sales Engineer an then Manager and Team Lead of Software Development.
Matt York
(Co-Founder & CTO)Matt previously worked as a VP of Engineering at Top Hat and as a Software Developer & Manager at Achievers.
Salary benchmarks
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