Software Engineer, Big Data

Are you ready to revolutionize the advertising industry?At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale.With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.Now, we’re growing!The RoleThis Software Engineer, Big Data is accountable for building and scaling high-performance data systems by developing robust data pipelines and infrastructure, working closely with Data Science, Machine Learning, and Engineering teams to deliver reliable, large-scale data solutions that power analytics and AI-driven initiatives.This position will be located in Bellevue with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote optional (Thursday/Friday).What You’ll DoBuild and scale core data infrastructure. You will design, build, and scale large-scale data ingestion, processing, and warehousing pipelines that support analytics, ML, and activation use cases.Optimize data processing at scale. You will write and optimize complex SQL and Spark queries to efficiently handle high-volume, distributed datasets.Evolve the data platform. You will contribute to the development and ongoing evolution of our data platform, including systems such as the identity graph and ML feature pipelines.Ensure system reliability and performance. You will monitor, troubleshoot, and improve highly available data systems to ensure reliability across critical workflows.Partner across technical teams. You will collaborate cross-functionally with Data Science, Machine Learning, and Product teams to enable and support data-driven initiatives.Improve scalability and efficiency. You will enhance system performance, reliability, and scalability across billions of events and diverse data sources.Work with modern data technologies. You will use and extend tools such as Spark, Kafka, Iceberg, and cloud-based infrastructure to build robust data solutions.Who You AreExperienced engineer. You bring 4+ years of experience working with a managed language such as Java or .NET, building production-grade systems.Hands-on big data practitioner. You have at least 1+ years of experience working directly with Spark or similar technologies in production environments.Cloud-native engineer. You have experience building and operating systems in cloud environments such as AWS, Azure, or GCP.Strong SQL and data optimization skills. You write and optimize SQL queries to support efficient processing of large-scale datasets.Distributed systems thinker. You have a solid understanding of distributed systems and how to design for scale, reliability, and performance.Comfortable with large-scale data debugging. You confidently work with large datasets and troubleshoot complex data issues across pipelines and systems.Collaborative engineering partner. You bring a strong communication style and work effectively across engineering, science, and product teams.Growth-oriented and highly coachable. You will demonstrate strong learning agility, seek feedback, and continuously improve your technical skills and impact over time.Bonus Points If You HaveExperience scaling large datasets using SQL and SparkBackground working with high-volume, real-time data systemsExperience operating and maintaining highly-available systemsProficiency in PythonFamiliarity with tools such as Kafka, ClickHouse, or AWS EMR/S3What Success Looks Like In Your First 30/60/90 DaysWhat success looks like in your first 30 days:Ramp quickly on our data platform, tools, and architectureBuild strong context on existing pipelines, systems, and key challengesEstablish relationships with team members and cross-functional partnersBegin contributing to small improvements or bug fixesWhat Success Looks Like In Your First 60 DaysIndependently own components of data pipelines or infrastructureDeliver measurable improvements in performance, reliability, or scalabilityAlign with stakeholders on priorities and technical directionStart contributing to design discussions and technical decisionsWhat Success Looks Like In Your First 90 DaysFully own key parts of the data platform or pipeline ecosystemDeliver measurable business impact through improved data systemsDrive improvements to at least one core system or processOperate autonomously and act as a trusted partner across teamsSalary: $130,000 - $170,000 USD Base Salary + EquityWhat We OfferCompensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you’ll also receive equity and a comprehensive benefits package.Highlights IncludeMedical, dental & vision coverage (some plans 100% employer-paid)12 weeks paid parental leave + 4 weeks WFHUnlimited PTO + Work-From-Anywhere AugustCareer development with clear advancement pathsEquity for all employeesHybrid work model & daily team lunchHealth & wellness stipend + cell phone reimbursement401(k) with employer matchParking (CA & WA offices) & pre-tax commuter benefitsEmployee Assistance ProgramComprehensive onboarding (Cognitiv University)…and more!What You’ll Find at CognitivFestiv – We make work fun with cross-team games, events, and creative team bonding.Responsiv – You’ll be close to clients and leadership, influencing real outcomes.Inclusiv – Diversity and individuality are celebrated across all levels.Inventiv – We reward curiosity and embrace bold ideas.Transformativ – We support your growth with training, mentorship, and flexibility.Collaborativ – We operate across coasts, connected by purpose and teamwork.Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.Note on AI Use: Cognitiv may use AI technology to assist with certain administrative aspects of the hiring process, such as note-taking, interview documentation, and reporting. However, every resume and application is reviewed directly by our recruiting team. AI tools are used solely for operational support and do not influence candidate evaluation or hiring decisions.