Software Engineer II, BI Tooling and Platform

Attentive

About The Position

Our Business Intelligence team 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. Joining our team offers a dynamic career opportunity to collaborate with some of the most talented data professionals in a high-performance, high-impact environment. As a Software Engineer on the BI Tooling & Platform team, you will have the opportunity to shape the foundation on which our metrics are built and retrieved. You will collaborate with talented engineers, product managers, and other internal stakeholders to create innovative applications that empower our BI Team to deliver metrics that our customers trust and rely on.

Requirements

3+ years of professional experience in software development focusing on data engineering and backend systems.
Advanced proficiency in Java, with a deep understanding of object-oriented programming principles.
Proficiency in python programming
Hands-on experience designing and developing microservices and APIs.
Skilled in working with both relational and non-relational databases, as well as streaming technologies.
Proven track record of architecting and delivering high-scale, high-quality applications.
Demonstrated excellence in execution, balancing the urgency of speed with the necessity of quality.
Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
Comfortable navigating ambiguity and translating business objectives into clear, actionable deliverables.
Enthusiastic about exploring and adopting new technologies, with a pragmatic approach to selecting tools that align with project goals.

Nice To Haves

Experience with Apache Airflow, Snowflake, containerization technologies (e.g., Docker, Kubernetes), and designing scalable data ingestion and processing services is highly desirable.
Proven experience working with data, including SQL, data analysis, and data engineering.
Strong familiarity with AWS services, cloud infrastructure, and workflow orchestration, GraphQL.
Experience with messaging systems or streaming platforms such as Kafka or Pulsar.
Practical knowledge of DevOps practices and tools, including Docker and Kubernetes, for containerization and orchestration.
Familiarity with AI tools (e.g., Claude and Codex) to explore opportunities for up-leveling the team's capabilities and company performance.

Responsibilities

Collaborate and negotiate with Product Management to meet the user’s needs without sacrificing quality or accruing tech debt. You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques.
You are constantly improving the quality of the project you are working on, both via code contributions as well as long-term advocacy for larger-scale changes.
Build amazing consumer experiences, taking responsibility for code quality, scalability, reliability and performance.
Collaborate with subject matter experts, fellow developers, and internal stakeholders to turn business goals into achievable technical roadmaps.