Senior Software Engineer, BI Engineering

Job Description

About the Attentive Team
Have you ever received a text message from your favorite brand with an incredible offer?  Did you know that text message marketing delivers the highest ROI of any marketing channel?  And that more customers than ever prefer to connect with brands via text?  That is what we do at Attentive.  We empower the world’s leading brands to engage with their customers at the right moment, with the right message. Our platform powers more than 400 million messages every day, approaching 100 billion annually.

We’re building big things!  Check out our tech blog here: https://tech.attentive.com/

About the role
As part of the Empowering Insights & Reporting Pillar at Attentive, the Business Intelligence Engineering group transforms complex data into actionable insights and impactful reporting. We empower clients and internal teams with the metrics, analytics, reports, and visualizations needed to make informed decisions and shape strategies that drive meaningful growth.

As a Senior Software Engineer on the BI Engineering team, you’ll help build and shape the backbone for analytics needs across the organization. You’ll work with Analysts, Data & ML Engineers, as well as other internal teams to define and shape self-service analytics and a data-driven organization.  You’ll support the relationship between the BI/Analytics, External Reporting, Product, Data Platform and domain engineering teams as we build out robust data solutions for our AI and Core Products.


What You'll Accomplish
  • Partner with cross functional teams to define BI and analytics requirements
  • Develop data models to feed dashboards for teams across the org, as well as client-facing analytics
  • Design dimensional data models and build scalable data pipelines 
  • Ingest data from third party applications & in-house data stores
  • Lead complex projects end-to-end with drama free-launches
  • Support internal and external reporting metrics creation
  • Mentor junior members of the team

  • Your Expertise
  • You have 5+ years of data engineering experience
  • You are proficient with SQL and Python
  • You have solid experience with designing and building ETL/ELT pipelines
  • You are a team player with strong collaboration and communication skills
  • You have experience mentoring junior members of a team
  • You are excited by new technologies, but are conscious of choosing them for the right reasons
  • Self Starter with a high desire to learn​​
  • Excellent communication skills, and the ability to collaborate effectively with both technical and non-technical stakeholders
  • You have experience being on-call and respond quickly during an incident to troubleshoot and resolve issues

  • Nice to Haves
  • You have experience with Airflow
  • You have experience with AWS
  • You have experience with DBT
  • You have experience with Snowflake
  • You have familiarity with a BI visualization tool like Looker or Tableau

  • What We Use
  • Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
  • Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
  • Our backend is Java / Spring Boot and Python microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Snowflake, Postgres, Planetscale, and Redis, hosted via AWS
  • Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright