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Attentive® is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to deliver 1:1 messages that truly resonate.
With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries. To learn more or request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.
Attentive’s growth has been recognized by Deloitte’s Fast 500, Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees!
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
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:
- The US base salary range for this full-time position is $140,000 - $200,000 annually + equity + benefits
- Equity is a substantial part of the total compensation package
- Our salary ranges are determined by role, level and location
#LI-JK1
Attentive Company Values
Default to Action - Move swiftly and with purpose
Be One Unstoppable Team - Rally as each other’s champions
Champion the Customer - Our success is defined by our customers' success
Act Like an Owner - Take responsibility for Attentive’s success
Learn more about AWAKE, Attentive’s collective of employee resource groups.
If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.
At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.
Attentive New York, New York, USA Office
136 Madison Avenue, New York, NY, United States, 10016
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
