Sr. Data & Software Engineer

About the Role

We are seeking a Sr. Data & Software Engineer to join our rapidly growing product and engineering development team. Our company specializes in enterprise-level media measurement and optimization across various industries. In this role, you will take a leadership position within a cross‑functional team responsible for creating, optimizing, and maintaining scalable software and data solutions to enhance performance, stability, and scalability.

You will play a pivotal role in guiding the team and working closely with internal and client stakeholders throughout the entire software development lifecycle, from concept to deployment.

The ideal candidate will bring extensive experience in iterative development practices, a strong focus on building testable solutions, and both conceptual and pragmatic problem‑solving skills. You actively leverage AI‑assisted development tools to improve velocity and quality, and you help your team adopt these practices effectively. Your outstanding attention to detail and strong written and oral communication skills will enable you to work directly with business users, understanding their objectives and translating them into technical requirements.

As a valuable team member, you will have the opportunity to mentor junior team members, contribute to innovative ideas, and drive the adoption of cutting‑edge technologies within the team and foster your own professional growth.

• Lead the design, development, testing, and deployment of robust software solutions that meet business and technical goals.
• Lead effort in identifying opportunities for automation with a focus on the operational stability of software applications and systems.
• Engage directly with Product Managers and stakeholders to understand their business goals, gather requirements, and translate into detailed, actionable technical requirements.
• Research, write and edit documentation and technical requirements, including software designs, evaluation plans, test results, technical manuals and formal recommendations and reports.
• Evaluate trade‑offs between correctness, robustness, performance and customer impact to ensure we build the right solutions that scale.
• Mentor and level up the skills of your teammates through collaboration and by sharing your expertise.
• Ensure adherence to and advancement of software and product engineering best practices, including code quality, documentation, testing, security, deployment, and performance.
• Evaluate and integrate new technologies, tools, and frameworks to optimize the software development process.
• Troubleshoot complex software issues and provide effective solutions.
• Provide guidance, mentorship, and contribute to architectural decisions, code reviews, and project direction.
• Foster a culture of continuous learning to keep your team current with emerging technology and software engineering trends.
• Ensure adherence to SDLC and Dev Ops best practices, maintaining high standards of quality and security across all phases of development.
• Leverage and champion AI‑assisted development tools and practices across the team to accelerate delivery, improve code quality, and establish effective patterns for responsible AI‑assisted development.

• 5+ years of relevant data & software engineering development experience.
• Highly proficient in SQL, Python, command‑line tools, and ETL/ELT pipelines for large datasets, including AI and analytics use cases.
• Experienced with cloud platforms and modern AI concepts/tools, such as GCP, AWS, AI/ML APIs, vector databases, embeddings, and retrieval.
• Strong attention to detail, communication skills, and a track record of knowledge‑sharing and mentoring junior team members.
• Direct experience working with business users and clients to understand goals and gather requirements.

• Experience with iterative development and Agile best practices, including experience working within SAFe or similar scaled frameworks.
• Experience with AI/ML frameworks or APIs (e.g., OpenAI, Hugging Face, Lang Chain, or similar) and their practical applications in an engineering context.
• Proficient working with data warehouses and big data tools (e.g.,…