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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** ANALYTICS DATA LLC - **Location:** Columbus, OH, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Data Analysis, Big Data, Continuous Integration, Data as a Services, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Data Systems, Python (Programming Language), Machine Learning, Open Source Technology, Standard Sql, Salesforce.Com, Cloud Platform System, Snowflake, Data Strategy, Git, Event Driven Architecture, Stripe, Data Analytics, Apache Kafka, Data Management, Databricks - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/data-engineer-pethealth-services-usa-llc-9796551 ## About the Role * 3 years building and scaling cloud-based data platforms and pipelines. * Strong SQL and Python skills, with a focus on automation, performance, and reliability. * Experience with large-scale datasets, structured and unstructured * Hands-on experience with modern data stack tools (dbt, Airflow, Fivetran, Databricks) and streaming/event-driven systems (Kafka, Kinesis). * Solid experience with AWS data services and ELT/ETL workflows. * Proficiency in CI/CD, Git, and infrastructure-as-code. * Proven ability to lead projects, influence stakeholders, and mentor others., * Experience designing data platforms at scale in a high-growth or startup environment. * Familiarity with customer-centric tools like Segment, Stripe, Salesforce, or mParticle * Experience supporting analytics, machine learning, or personalization initiatives with robust data foundations. * Knowledge of data privacy and compliance best practices (e.g., GDPR, CCPA). * Prior contributions to open-source projects, internal data tooling, or technical blogs/presentations. ## Description IDEA (IPH Data & Enterprise Analytics) is an enterprise data organization responsible for building and operating the data platform, governance framework, and analytics capabilities that power decision-making across all brands. The team brings together experienced data leaders and engineers from across IPH and beyond to create a unified, enterprise-scale data function. Organized around four core pillars-Data Strategy & Planning, Infrastructure & Data Engineering, Enterprise Data Governance, and Analytics & Reporting-IDEA partners with teams across the organization to architect, manage, and activate data & analytics so every IPH team can make faster, smarter, and more informed decisions. As a result, we are looking for a Data Engineer to join the organization. The Data Engineer will play a critical role in shaping IPH's data ecosystem, building the platforms and pipelines that enable smarter decisions across analytics, product, and operations. This person will bring both technical excellence and a collaborative mindset, designing scalable, high-performance data solutions while ensuring reliability, quality, and accessibility. Ideal candidates have experience in pet insurance or other consumer-facing industries like e-commerce or subscription businesses and are passionate about translating complex business needs into actionable data solutions. Beyond coding and architecture, this role is about fostering strong partnerships across teams, mentoring peers, and championing best practices that make data engineering a force multiplier for the organization., * Design, build, and scale cloud-based data platforms and pipelines (batch and streaming) to support analytics, product, and operational use cases. * Own critical data workflows, ensuring reliability, performance, and quality across the data ecosystem. * Implement modern data solutions using tools like dbt, Databricks, ELT frameworks, and other cloud platforms (AWS, Snowflake). * Apply best practices in CI/CD, Git, testing, monitoring, and infrastructure-as-code. * Collaborate effectively with cross-functional teams, balancing technical rigor with strong interpersonal skills to translate business needs into scalable, accessible data solutions. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Navigating Growth, Scaling Challenges, and Office Expansions with David Singleton, CTO at Stripe](https://www.wearedevelopers.com/videos/100362-navigating-growth-scaling-challenges-and-office-expansions-with-david-singleton-cto-at-stripe) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)