Take your career to new heights with Loopio! 🚀✨

Loopio’s Data Engineering Team works together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features and delivers innovative solutions where it matters the most for our customers.

We are looking for an experienced Data Engineer to build and support the delivery of data pipelines, used for analytics both internally by Loopio’s teams, embedded within the Loopio platform for our customers. Our perfect candidate has deep technical skills and is comfortable working in an evolving technology infrastructure. This is a unique opportunity to join a growing team of creative and passionate individuals committed to solving real world problems. You will empower engineers, product, and data scientists with tools that enable and streamline data-driven decision making, analysis, and feature development.

You will partner closely with ML Engineers, Architects and Data Scientists, Product Managers, and other business stakeholders to help us take Loopio’s data value to the next level.

Note: This is an existing vacancy on the team

What You’ll Be Doing

Be responsible for building, evolving and scaling data platforms and ETL pipelines, with an eye towards growth of our business and reliability of our data

Promote data-driven decision making across the organization through data expertise

Build advanced automation tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations

Integrate various data sources into our Datalake, including clickstream, relational, and unstructured data

Developing and maintaining a feature store for use in analytics & modeling

Partner with data scientists to create predictive models to help drive insights and decisions, both in Loopio’s product and internal teams (RevOps, Marketing, CX)

Work closely with stakeholders within and across teams to understand the data needs of the business and produce processes that enable a better product and support data-driven decision-making

Build scalable data pipelines using Databricks, and AWS (Redshift, S3, RDS), and other cloud technologies

Build and support Loopio’s data warehouse (Redshift) and data lake (Databricks deltalake)

Orchestrate pipelines using workflow frameworks / tooling

What You’ll Bring to the Team

Strong understanding of database concepts, modeling, SQL, query optimization

Ability to learn fast and translate data into actionable business results

Experience in either Python (preferrably), or other common programming language (Scala, Java) for data manipulation purposes

Hands-on experience with the AWS services (RDS, S3, Redshift, Glue, Quicksight, Athena, ECS)

Strong understanding of relational databases (RDS/Aurora) and NoSQL engines (Redis/DynamoDB/Neptune/etc).

Experience with ETL & Data warehousing, building Inmon/Kimball/Data Vault models

Experience with MPP frameworks such as Spark / Flink

Experience with CI/CD tools (Jenkins) and pipeline orchestration tools (Databricks Jobs, Airflow)

Experience working with data visualization and BI platforms (Quicksight, Tableau, Sisense, etc)

Experience working with Clickstream data (Amplitude, Pendo, etc)

Experience in a high growth agile software development environment

Experience building and supporting large-scale systems in a production environment

Strong communication, collaboration, and analytical skills

Demonstrated ability to work with a high degree of ambiguity, and leadership within a team (mentorship, ownership, innovation)

3+ years experience in a data engineering or a similar role

Ability to clearly communicate technical roadmap, challenges, and mitigation

Bonus Qualifications

Experience with container orchestration (leveraging tools like Docker, ECS, Kubernetes)

Experience working with BI PaaS / SaaS solutions

Experience with Natural Language Processing techniques

Experience in AI-augmented SDLC

Experience with graph-like data and corresponding data engines (Neo4J, Neptune, GraphFrames)