Data Ops, Data Engineer

The Role:

Fetch’s next step in evolving our business will require a DataOps - Data Engineer to join the data team and play a pivotal role in designing and building scalable and efficient data pipelines and data transformation systems to process terabytes of data each day to support Fetch’s business. The work of data engineers is to drive and take ownership of projects that enable all stakeholders to be able to access and use endless amounts of data, working closely with other engineers and teams in the organization With a goal of having world class data availability with terabytes of daily data, Data Ops and data engineering is critical to Fetch’s success.

Scope of Responsibilities:

• Develop tools to support rapid development of data products. Provide recommended patterns to support data pipeline deployments.
• Create data pipelines that efficiently process terabytes of data daily, utilizing data warehouses, data lakes, within the AWS cloud.
• Enable data discovery and lineage tracking. Implement best practices for data governance, security and compliance to safeguard sensitive information and ensure regulatory compliance requirements are met.
• Generate innovative approaches to datasets with millions of daily active users and terabytes of data. Be able to apply data modeling best practices.
• Design systems and frameworks to ensure higher data quality throughout the data lifecycle. Develop, measure and enforce data quality standards.
• Collaborate with the DevOps team to integrate data needs into DevOps tooling.
• Champion DataOps practices within the organization, promoting a culture of collaboration, automation, and continuous improvement in data engineering processes.
• Stay abreast of emerging technologies, tools and trends in data processing and analytics, and evaluate their potential impact and relevance to Fetch’s strategy.

 The ideal candidate:

• Self starter that can take a project from architecture to adoption.
•  Experience with Infrastructure as Code tools such as Terraform or CloudFormation. Ability to automate the deployment and management of data infrastructure.
• Familiarity with Continuous Integration and Continuous Deployment (CI/CD) processes. Experience setting up and maintaining CI/CD pipelines for data applications.
• Proficiency in software development lifecycle process. Release fast and improve incrementally. 
• Experience with tools and frameworks for ensuring data quality, such as data validation, anomaly detection, and monitoring. Ability to design systems to track and enforce data quality standards.
• Familiar with data modeling and data modeling tools such as DBT.
• Proven experience in designing, building, and maintaining scalable data pipelines capable of processing terabytes of data daily using modern data processing frameworks (e.g., Apache Spark, Apache Kafka, Flink, modern OLAP databases).
• Strong foundation in data architecture principles and the ability to evaluate emerging technologies.
• Proficient in at least one modern programming language (Go, Python, Java, Rust) and SQL.
• Comfortable presenting and challenging technical decisions in a peer review environment
• Undergraduate or graduate degree in relevant fields such as computer science, Data Science, Business Analytics.

At Fetch, we'll give you the tools to feel healthy, happy and secure through:

• Equity for everyone
• 401k Match: Dollar-for-dollar match up to 4%.
• Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
• Continuing Education: Fetch provides Ten Thousand per year in education reimbursement.
• Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
• Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, including Juneteenth and Indigenous People’s Day, as well as our year-end week-long break. 
• Robust Leave Policies: 18 weeks of paid parental leave for primary caregivers, 12 weeks for secondary caregivers, and a flexible return to work schedule.  
• Hybrid Work Environment: Collaborate with your team in one of our stunning offices in Madison, Birmingham, Chicago or work Remotely. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home.