Data Engineer

🔥 12 hours ago

🇨🇦 Canada – Remote

💵 CA$103.5k - CA$140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Loopio

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 Private Equity Round on 2021-03

Consulting • Healthcare • Marketing

Loopio is a leading provider of RFP (Request for Proposal) software, designed to streamline and enhance the proposal management process for businesses. The platform leverages powerful AI capabilities to automate response workflows, manage content, ensure data security, and integrate seamlessly with existing CRM systems like Salesforce. Loopio supports teams in creating accurate, timely proposals, security questionnaires (SQ), and due diligence questionnaires (DDQ), facilitating collaboration and improving efficiency across industries such as software, healthcare, and financial services. Trusted by over 1,500 companies, Loopio is recognized for its innovative approach to content management and superior customer support, rated highly by users on platforms like G2. By offering tools for content automation and a secure library, Loopio helps teams respond faster and with greater accuracy, ultimately winning more business.

📋 Description

• Build, evolve, and scale data platforms and ETL pipelines • Promote data-driven decision-making across the organization • Build automation tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations • Integrate clickstream, relational, and unstructured data sources into the data lake • Develop and maintain a feature store for analytics and modeling • Partner with data scientists to create predictive models for Loopio’s product and internal teams • Work with business stakeholders to understand data needs and create enabling processes • Build scalable data pipelines using Databricks, AWS Redshift, S3, RDS, and other cloud technologies • Build and support the Redshift data warehouse and Databricks Delta Lake • Orchestrate pipelines using workflow frameworks and tooling • Collaborate with ML Engineers, Architects, Data Scientists, Product Managers, and business stakeholders

🎯 Requirements

• 3+ years of experience in data engineering or a similar role • Strong understanding of database concepts, modeling, SQL, and query optimization • Python experience preferred, or another common programming language such as Scala or Java, for data manipulation • Hands-on experience with AWS services including RDS, S3, Redshift, Glue, QuickSight, Athena, and ECS • Strong understanding of relational databases such as RDS/Aurora and NoSQL engines such as Redis, DynamoDB, or Neptune • Experience with ETL, data warehousing, and Inmon, Kimball, or Data Vault models • Experience with MPP frameworks such as Spark or Flink • Experience with CI/CD tools such as Jenkins and pipeline orchestration tools such as Databricks Jobs or Airflow • Experience with data visualization and BI platforms such as QuickSight, Tableau, or Sisense • Experience with clickstream data and tools such as Amplitude or Pendo • Experience in a high-growth agile software development environment • Experience building and supporting large-scale production systems • Strong communication, collaboration, and analytical skills • Demonstrated leadership, mentorship, ownership, and ability to work through ambiguity • Ability to clearly communicate technical roadmaps, challenges, and mitigations • Candidates must be legally authorized to work in Canada without employer sponsorship • Experience with container orchestration tools such as Docker, ECS, or Kubernetes is a bonus qualification • Experience with BI PaaS/SaaS solutions is a bonus qualification • Experience with Natural Language Processing techniques is a bonus qualification • Experience with AI-augmented SDLC is a bonus qualification • Experience with graph-like data and engines such as Neo4J, Neptune, or GraphFrames is a bonus qualification

🏖️ Benefits

• Equity • Flexible remote-first work arrangements • Flexible co-working locations in Toronto and Vancouver • Professional mastery allowance for learning and development • Health and wellness benefits starting day 1 • MacBook laptop • Monthly phone and internet subsidy • Work-from-home budget • Supportive remote-first culture and connection opportunities • Townhalls, AMAs, and company celebrations • Employee Resource Groups • Ongoing feedback and regular 1-on-1s • Award-winning workplace