Staff Software Engineer, BI Tooling and Platform

Attentive
United States, New York
Workplace: RemoteFull timeUSD 193,461 - 240,000 annuallyFunction: Software EngineeringExperience: 7+ yearsEducation: bachelorsSkills: []

Design, develop, and maintain BI tooling and platform components that power internal operational metrics. Build and optimize scalable, reliable user-facing and internal platform features, translating business requirements into technical plans in close partnership with product and subject-matter experts. Strengthen application quality through testing, refactoring, and architecture improvements, and guide junior engineers through reviews and knowledge sharing in a fully remote environment.

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FursaFursa
Attentive
Attentive
1 day ago

Staff Software Engineer, BI Tooling and Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design, develop, and maintain BI tooling and platform components that power internal operational metrics. Build and optimize scalable, reliable user-facing and internal platform features, translating business requirements into technical plans in close partnership with product and subject-matter experts. Strengthen application quality through testing, refactoring, and architecture improvements, and guide junior engineers through reviews and knowledge sharing in a fully remote environment.
Location: United States, New York
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain software components that support internal BI tooling and the platform used to generate and retrieve operational metrics.
  • •Implement testing strategies to prevent regressions and ensure accuracy, stability, and long-term maintainability of metrics delivery applications.
  • •Improve code quality and system reliability through refactoring and technical contributions that strengthen BI tooling architecture and performance.
  • •Build and optimize user-facing and internal platform features with focus on scalability, performance, fault tolerance, and efficient data access.
  • •Translate business requirements into detailed technical plans and provide technical guidance to less experienced engineers through reviews and knowledge sharing.

Pay and Benefits

Salary: USD 193,461 - 240,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Bachelor’s degree (or U.S. equivalent) in Computer Science, Software Engineering, Computer Engineering, or a related field, plus 7 years of professional software development experience for backend systems.
  • •7 years developing backend systems in production using object-oriented programming principles and Java.
  • •7 years working with relational/non-relational databases and distributed systems, including data storage, streaming, and processing.
  • •7 years architecting, implementing, and supporting high-scale, high-availability applications supporting metrics, analytics, or data-intensive workloads.
  • •Experience with BI/data processing using Python, SQL, and cloud data tools (e.g., Snowflake, DBT, Spark, Kinesis, Airflow, PostgreSQL), plus AWS-based microservices and data pipelines.
Experience:7+ yearsBackend systemsDistributed systemsAnalytics
Education:Bachelor's in Computer Science, Software Engineering, Computer Engineering, or a related field
Languages:English
Tech Stack:JavaPythonSQLSnowflakeDBTSparkKinesisAirflowPostgreSQLAWSMicroservicesGraphQLREST APIsKafkaPulsar

Company Brief

Attentive
Provides a mobile messaging and personalization platform that helps brands engage customers via SMS, email, and onsite messaging to drive sales, retention, and personalized marketing at scale.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2016
WebsiteLinkedIn