Senior Software Engineer (Business Intelligence & Reporting) at Attentive

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

241080.0

Posted On

17 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Data Product Frameworks, Workflow Orchestration, Data Cataloging, Performance Monitoring, CI/CD Pipelines, Infrastructure-as-Code, Containerized Environments, Data Transformations, Design Documents, Proof-of-Concept Prototypes, Java, Python, Go, Dimensional Modeling, TensorFlow

Industry

Advertising Services

Description

Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index! - Design and implement automated data pipelines for advanced analytics; Lead the technical development of reusable data product frameworks that enable faster deployment of self-service analytics solutions across business lines - Evaluate and implement new tools for workflow orchestration, data cataloging, and performance monitoring to optimize the existing data infrastructure - Develop robust test suites and CI/CD pipelines for analytics code using infrastructure-as-code principles and containerized environments - Serve as the primary technical contact for cross-functional projects focused on developing high-quality and performant data transformations that power both internal and external reporting - Create technical design documents, proof-of-concept prototypes, and internal wikis to support knowledge transfer and standardization of best practices - Conduct research on emerging technologies and propose innovative solutions to improve data processing efficiency, security, and scalability - Mentor more junior engineers and influence positive behaviors and practices among peers through active coaching, open dialog, code reviews. - Position is 100% remote and reports to HQ in New York, NY. MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Computer and Information Technology, Computer Science, Computer Engineering or related field plus 5 years of professional experience as a Software Developer, Software Engineer, or any occupation/position/job title involving software engineering for data applications. Must also have the following: - 5 years of professional experience performing software engineering (including developing, documenting, improving, and testing) for web technologies or applications that are scalable and reliable - 5 years of professional experience utilizing Java, Python, or Go - 5 years of professional experience building and maintaining production data models (including dimensional modeling, or star schema designs) - 5 years of professional experience using AI-Related programming languages (including Python, TensorFlow, or PyTorch) - 5 years of professional experience performing Large Scale Data Processing (including SQL, NoSQL, or Spark) to manage and process large datasets for model training or marketing analysis - 5 years of professional experience utilizing cloud computing platforms (including AWS, Azure, or GCP) to deploy applications and services on the cloud for scalability and reliability Please submit resume online at: www.attentivemobile.com/careers#jobs or via email to careers@attentivemobile.com. Must specify Ad Code YCJG 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 $189,592-$241,080 per year. annually + equity + benefits Our salary ranges are determined by role, level and location #LI-DNI By applying for this position, your data will be processed as per Attentive's Privacy Policy. 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.

Responsibilities

The role involves designing and implementing automated data pipelines for advanced analytics and leading the technical development of reusable data product frameworks to speed up self-service analytics deployment across business lines. Responsibilities also include serving as the primary technical contact for cross-functional projects focused on high-quality data transformations powering reporting and mentoring junior engineers.