Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens. As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, alongside data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory. We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This is a fully remote, 40-hour per week contract position with the opportunity to shape the future of advertising technology. This position is a contract role and can work remotely anywhere in the US or outside of the US. They should be willing and open to collaborate with our US based engineering team during their business hours. Responsibilities include - Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients - Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities - Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients - Work with our Platform team to create monitoring which ensures data integrity - Experiment with new tech to find the right tool for the job - Use Kanban to manage multiple releases per week - Maintain high code quality through code reviews and automated tests Here are a few indicators that you're the right person - You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks - You want to be part of a small team inside a large company with massive opportunity for growth - You enjoy collaboration with other teams including product, biz dev, and our in-house QA team - You eagerly dig into complex engineering problems Preferred skills and experiences - 2+ years of relevant work experience - You have built customer–facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau - You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis - You’ve designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse - You’ve built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster - Familiarity with Google Cloud or AWS big data products Hourly Rate: $30-50/hour We’re open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.

Role Description - Deep, hands-on experience working with Azure Cost Management and Billing data in real production environments. - Strong understanding of how Azure billing maps to actual infrastructure, including VM sizes and series, managed disks, storage tiers, networking charges, and platform services. - Proven experience advising on and implementing Azure Reservations and Azure Savings Plans, including nuanced handling of fees, usage, and eligible SKUs. - Experience classifying and normalizing large volumes of Azure SKUs into logical product hierarchies suitable for FinOps and analytics use cases. - Ability to read, review, and reason about SQL and/or KQL used for billing data transformation, with the capability to contribute hands on when required. - Prior experience in FinOps, cloud economics, cloud billing, or cost and usage analytics roles. - Comfortable operating in a senior advisory capacity within a staff augmentation engagement. Qualifications - Experience aligning Azure billing models with AWS CUR and GCP billing exports. - Familiarity with open table formats such as Iceberg and cloud agnostic analytics stacks. - Experience working with custom or nonvendor standard cost models rather than off the shelf FinOps frameworks.

• Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients • Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities • Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients • Work with our Platform team to create monitoring which ensures data integrity • Experiment with new tech to find the right tool for the job • Use Kanban to manage multiple releases per week • Maintain high code quality through code reviews and automated tests

Role Description We're looking for a Sr. Data Engineer to shape the future of our data platform. You'll architect scalable systems, set technical direction, and build the frameworks that enable our data organization to operate at scale. This is a high-leverage role where your work multiplies the effectiveness of the entire team. What You'll Do - Platform Architecture & Strategy - Own the technical roadmap for our data platform, making architectural decisions that balance scalability, cost, and maintainability. - Evaluate and champion new technologies and tools, leading adoption across the organization. - Design systems for terabyte-scale data processing with a focus on performance and cost optimization. - Establish data engineering standards, patterns, and best practices that elevate team quality. - Model infrastructure costs and drive efficiency initiatives across Snowflake and cloud platforms. - Advanced Technical Work - Design and build scalable infrastructure for AI/ML workloads, including model training pipelines, feature engineering systems, and AI agent platforms. - Build reusable frameworks and internal platforms that abstract complexity for other engineers. - Design complex data models for critical business domains, balancing normalization, performance, and usability. - Architect real-time/streaming data infrastructure for low-latency use cases. - Engineer solutions for large-dataset performance challenges (Snowflake clustering, micro-partitioning, query optimization). - Create sophisticated data-contract validators and schema evolution frameworks. - Develop profiling and drift detection systems that ensure data quality at scale. - Technical Leadership - Conduct design reviews and provide architectural guidance for major initiatives. - Lead incident response for critical data systems and drive blameless post-mortems. - Define SLAs and reliability standards for data products. - Mentor and upskill data engineers through pairing, code reviews, and technical discussions. - Lead cross-functional projects with analytics, data science, and product teams. - Operational Excellence - Build data observability platforms with intelligent alerting and monitoring. - Perform capacity planning and scalability analysis for the entire data stack. - Benchmark performance across infrastructure to identify optimization opportunities. - Design self-service tools that enable analytics engineers and analysts to work independently. Qualifications - Deep expertise with modern data warehouses (Snowflake strongly preferred) including advanced optimization techniques. - Strong foundations in distributed systems, data structures, and algorithms. - Experience designing AI-native platform tooling - including reusable agent frameworks and MCP-integrated capabilities that enable teams to compound on shared infrastructure rather than generate ad-hoc solutions. - Production experience building high-volume data pipelines and ETL/ELT systems. - Proficiency in Python/SQL and orchestration tools (Airflow, dbt, or similar). - Experience with cloud platforms (AWS/GCP) and infrastructure-as-code. Requirements - Track record of making architectural decisions with long-term impact. - Ability to evaluate tradeoffs between competing approaches. - Experience balancing technical excellence with business pragmatism. - Proven ability to drive technical strategy across an organization. Leadership & Communication - History of mentoring engineers and raising team capabilities. - Excellent written and verbal communication for technical and non-technical audiences. - Ability to build consensus and influence without direct authority. - Experience leading projects across multiple teams. Bonus Points - Experience with streaming systems (Kafka, Flink, etc.). - Data mesh or domain-oriented architecture implementation. - Open source contributions or technical writing. - Background in analytics engineering or data modeling. You'll Thrive Here If - You think in systems and frameworks, not just individual solutions. - You're energized by making other engineers more effective. - You balance perfectionism with pragmatic delivery. - You're comfortable with ambiguity and defining your own projects. - You care deeply about code quality, documentation, and operational excellence. United States Base Pay Range $155,000 — $193,000 USD We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.