Data & Software Engineer

Ovative GroupMinneapolis, MN
Hybrid

About The Position

We are seeking a 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 be an integral part of a cross-functional team responsible for creating, optimizing, and maintaining scalable software and data solutions to enhance performance, stability, and scalability. You will work under the guidance of experienced team members and closely collaborate with stakeholders throughout the entire software development lifecycle, from concept to deployment. The ideal candidate will have a strong foundation in iterative development practices, familiarity with version control systems like GitHub, and a passion for developing both conceptual and pragmatic problem-solving skills. You are curious about using modern AI tools as part of your daily workflow and can balance AI-assisted development with rigorous testing, documentation, and review. Your attention to detail and communication skills, both written and oral, will enable you to work directly with a variety of users, understand their objectives, and contribute to translating them into technical requirements and solutions. As a valuable team member, you will be encouraged to learn and grow in a supportive environment, actively participate in team activities, and set the foundation for your professional development.

Requirements

  • 3+ years of relevant data & software engineering development experience
  • Proficiency in SQL, Python, command-line tools, and ETL/ELT pipelines for large datasets, including AI and analytics use cases
  • Familiarity 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 with team members

Nice To Haves

  • Experience with iterative development and Agile methodologies, including familiarity with SAFe or similar scaled frameworks.
  • Experience with AI/ML frameworks or APIs (e.g., OpenAI, HuggingFace, LangChain, or similar)
  • Experience working with data warehouses and big data tools (e.g., BigQuery, Databricks)
  • Experience working with APIs for data retrieval
  • Experience building lightweight internal tools, agents, or workflows that orchestrate LLM calls (e.g., prompt templates, retrieval-augmented generation, or scripted helpers for teammates).
  • Experience working with marketing, analytics and customer data
  • Experience contributing to data/table architecture
  • Experience integrating data models within software

Responsibilities

  • Assist in designing, developing, testing, and deploying software solutions that align with business and technical requirements.
  • Contribute to the effort of identifying opportunities for automation with a focus on the operational stability of software applications and systems
  • Collaborate with your team to support translating business goals and user requirements into detailed, actionable technical requirements
  • Contribute to documentation and technical requirements, including software designs, evaluation plans, test results, technical manuals and formal recommendations and reports
  • Contribute to the creation and maintenance of robust, performant solutions that provide high customer impact at scale
  • Provide technical assistance to teammates as needed through collaboration and by sharing your expertise
  • Follow established software and product engineering best practices, including code quality, documentation, deployment, and testing.
  • Explore new technologies and tools under guidance to enhance software development.
  • Troubleshoot software issues with support from senior team members as needed.
  • Participate in technical knowledge sharing with other team members.
  • Stay current with emerging technology and software engineering innovations and continuously enhance skills.
  • Adhere to SDLC and DevOps best practices, maintaining high standards of quality and security across all phases of development.
  • Leverage AI-assisted development tools (e.g., GitHub Copilot, Claude, internal LLM tooling) to explore solution options, generate scaffolding code, and improve development velocity while maintaining code quality and security.

Benefits

  • Base Salary
  • Annual Bonus
  • Health insurance
  • Generous paid vacation policy
  • 401k match program
  • Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs
  • Monthly stipend for your mobile phone and data plan
  • Sabbatical program
  • Charitable giving via our time and a financial match program
  • Shenanigan’s Day
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