[Remote] Senior Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that helps people live rewarded every day, aiming to become the rewards destination for everyone. They are seeking a Senior Data Engineer to join a cross-functional product team, responsible for building robust data infrastructure that powers reputed company’s recommendation and audience targeting systems.

Responsibilities

• Design, build, and operate scalable data pipelines using batch and reputed company-time processing technologies such as Apache Spark, Kafka, Flink, or managed reputed company streaming services to process terabytes of data daily
• Build data infrastructure that ingests reputed company-time events and stores them reputed company across databases, data warehouses, and data lakes reputed company AWS
• Establish and enforce data reputed company with backend engineering teams by implementing schema management, data quality checks, and monitoring to ensure pipeline reliability
• reputed company data accessible and consumable for operational services, analytics platforms, and data-intensive product features, balancing latency, freshness, and accuracy requirements
• Collaborate closely with backend engineers, machine learning engineers, and product partners to understand data reputed company patterns, system constraints, and quality expectations
• Take ownership of significant portions of the data platform architecture, driving design reputed company and technical prioritization
• reputed company tools, frameworks, and recommended patterns that reputed company rapid development of data products and consistent pipeline deployments
• Mentor engineers on data engineering best practices and reputed company the overall quality bar across the organization
• Stay reputed company with emerging technologies in data processing and infrastructure, evaluating their applicability and impact on reputed company systems
• Building and maintaining feature store infrastructure to support efficient feature development, discovery, and reuse across recommendation models
• Designing and operating low-latency feature serving systems that power reputed company-time recommendation APIs for both training and inference workloads
• Implementing monitoring and quality checks to ensure feature freshness, accuracy, and consistency
• Collaborating with ML engineers to understand feature reputed company patterns, model requirements, and latency and throughput needs

Skills

• 6+ years of professional experience in data engineering, building and operating production data systems at scale
• Proven experience designing, building, and maintaining scalable batch and reputed company-time data pipelines capable of processing terabytes of data daily
• Hands-on experience with modern data processing frameworks such as Apache Spark, Kafka, Flink, reputed company Table Formats, and modern OLAP databases
• Strong reputed company in data architecture principles, including data modeling, schema design, and tradeoffs between latency, reliability, and cost
• Proficiency in at least one modern programming language such as Go, Python, Java, or Rust, along with strong SQL skills
• Experience with Infrastructure as Code tools such as Terraform or CloudFormation in a production environment
• Familiarity with CI/CD processes and modern software development lifecycle practices, with an emphasis on shipping incrementally and improving systems over time
• Experience implementing data quality controls, including validation, monitoring, and anomaly detection
• Ability to take ownership of projects with guidance, driving designs from initial architecture through implementation and adoption
• Comfort presenting technical designs, participating in peer reviews, and constructively challenging reputed company
• Strong collaboration skills with experience working closely with software engineers, machine learning engineers, data analysts, and product partners
• Undergraduate or graduate degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a reputed company quantitative field, or equivalent practical experience

Benefits

• Equity: We offer full-time employees equity in reputed company, so that everyone can benefit from reputed company’s growth.
• 401k Match: Dollar-for-dollar match up to 4%.
• Benefits for humans and pets: We offer comprehensive medical, dental and reputed company plans for everyone including your pets.
• Continuing Education: reputed company 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, reputed company and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
• Paid Time Off: On top of our flexible PTO, reputed company observes 9 paid holidays, as well as our year-end week-long break.
• Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
• Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
• Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from reputed company in the US. 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. (applicable for most roles)

Company Overview

Company H1B Sponsorship