Senior Data Engineer About the Role 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 What You Bring Technical Depth - 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 Strategic Thinking - 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. About CircleCI CircleCI is the world’s largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster. Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital. CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Role Description K2 Insurance Services, LLC is seeking a Data Engineer with a strong Azure DevOps focus to join our engineering team. This role will support the development, maintenance, and optimization of data solutions that enable business insights across the organization, while also playing an active role in owning and enhancing our Azure DevOps–based CI/CD pipelines. The ideal candidate is an eager data professional with strong SQL skills, hands‑on experience with relational databases (preferably cloud‑based), and solid, practical experience working with Azure DevOps and modern cloud engineering practices. You will work closely with data engineers, analysts, and business stakeholders to: - Design and build reliable data pipelines. - Maintain data quality. - Support analytics and reporting initiatives within the insurance domain. - Contribute to the development, maintenance, and continuous improvement of Azure DevOps–based CI/CD pipelines and deployment processes. This role will involve a mix of data engineering and Azure DevOps responsibilities, with opportunities to grow in both areas. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Data Engineering or a related field (or equivalent work experience). - Hands‑on experience with RDBMS platforms (cloud‑based preferred). - Strong SQL skills, including writing complex queries, joins, subqueries, CTEs, and performance‑optimized queries for relational databases. - Hands-on experience with Azure DevOps (or minimally GitHub), including building release pipelines, as well as build, test and deployment automation. - Experience working with Python in notebooks or scripts to support data engineering workflows. - Familiarity with Terraform and Infrastructure as Code (IaC) concepts, including understanding how infrastructure is defined and managed in code. - Strong communication and interpersonal skills. - Ability to work effectively in a fast-paced and collaborative environment. Requirements - Develop, optimize, and maintain complex SQL queries, views, and python-based notebooks. - Build and support ELT data pipelines from structured and unstructured data sources. - Work with Databricks to source data from relational databases to store, retrieve, and transform data efficiently. - Collaborate with analysts and stakeholders to interpret business requirements, translate them into efficient data models, and build scalable SQL logic that supports analytics, reporting, and downstream consumption. - Support production workloads, including triaging failed jobs, root-cause analysis, and implementing long‑term stability improvements. - Use Azure DevOps for source control, build and release pipelines, and CI/CD workflows. - Maintain and expand Infrastructure as Code (IaC) to support consistent, repeatable environment provisioning and configuration. - Contribute to the enhancement, optimization, and ongoing maintenance of existing CI/CD pipelines. - Support deployment and release processes across development and production environments. - Create, maintain, and update environment and release documentation, including deployment notes, pipeline changes, and release announcements. - Partner with data engineers and analysts to understand data requirements. - Document data and release pipelines, database structures, and operational processes. - Participate in agile ceremonies such as sprint planning and daily standups. - Ensure high‑quality delivery by following established engineering standards and contributing to the continuous improvement of workflows. - Contribute to knowledge sharing by updating internal documentation and code as systems evolve. - Assist with incident triage, troubleshooting, and post‑release validation under guidance from senior team members. Benefits - Competitive pay. - Bonus plan. - Medical, dental, and vision insurance. - Paid time‑off in year of hire. - 401(k) with employer match.

• Design and own scalable data solutions across Microsoft Fabric and Azure. • Work with modern analytical patterns that power real decisions. • Collaborate with team members on the implementation of data pipelines.

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.