Data Engineer

About This Opportunity

We are representing a confidential on-demand delivery company that is building next-generation data infrastructure to power rapid fulfillment operations across the United States. Our client leverages data-driven insights to optimize logistics, experimentation, and business intelligence at scale.

As a Data Engineer, you will architect and maintain the systems that enable analytics, machine learning, and operational decision-making. This is a hands-on, high-impact role where you'll work across teams to deliver trusted data products and scalable pipelines.

Responsibilities

• Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning
• Contribute to the architecture and maintenance of the data platform, ensuring systems are performant, cost-efficient, and scalable
• Partner cross-functionally with analytics, product, engineering, and operations to deliver high-quality data solutions that drive measurable business impact
• Develop and maintain curated, well-modeled datasets that serve as trusted sources of truth across the organization
• Champion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident response
• Contribute to team standards, patterns, and best practices
• Drive improvements to infrastructure, developer workflows, CI/CD, and data platform tooling

What We're Looking For

Experience:

• 3-5 years of experience in data engineering or software engineering with a strong focus on data platform development
• Proven experience building and scaling modern data platforms and delivering high-impact data solutions
• Strong communication skills and the ability to work closely with technical and non-technical partners
• Passion for building reliable, accessible, and high-quality data products

Technical Expertise:

• Strong proficiency in Python and SQL
• Experience with modern cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks)
• Experience building batch pipelines using DAG-based orchestrators (e.g., Dagster, Airflow)
• Experience with event-driven architectures using Kafka, Kinesis, or Event Hubs
• Experience developing real-time or streaming pipelines using Apache Beam, Flink, or Spark Streaming
• Experience deploying applications and services to Kubernetes and using tools such as ArgoCD, Helm, or Istio
• Experience implementing DevOps concepts within data workflows (CI/CD, observability, monitoring, lineage)
• Experience with Infrastructure-as-Code (e.g., Terraform)

How We Work With You

Our talent team at Get A Job.ai partners with leading technology companies to connect exceptional candidates with confidential opportunities. When you apply through our platform, a recruiter will screen your background and qualifications. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the employer directly—all communication and coordination will flow through Get A Job.ai to ensure a smooth and professional process.

Pay

This role is remote within the USA. Our client offers a competitive compensation package including base salary, discretionary annual cash bonus, and equity participation. The client's base salary range is $118,000 - $148,000, determined by skills, experience, qualifications, and location.

Benefits include medical, dental, and vision insurance, 401(k), HSA/FSA eligibility, disability insurance, mental health benefits, fitness reimbursement, flexible PTO, group life insurance, and employee assistance programs.

Equal Opportunity

Get A Job.ai is committed to inclusive hiring practices. We do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We encourage all qualified individuals to apply.