Data Engineer

Job not on LinkedIn

November 25

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Nift

Discover your next favorite business with Nift.

11 - 50 employees

💰 $16.5M Series A on 2018-03

📋 Description

• Architecture & storage: Design and implement our data storage strategy (warehouse, lake, transactional stores) with scalability, reliability, security, and cost in mind • Pipelines & ETL: Build and maintain robust data pipelines (batch/stream), including orchestration, testing, documentation, and SLAs • Reliability & cost control: Optimize compute/storage (e.g., spot, autoscaling, lifecycle policies) and reduce pipeline fragility • Engineering excellence: Refactor research code into reusable components, enforce repo structure, testing, logging, and reproducibility • Cross-functional collaboration: Work with DS/Analytics/Engineers to turn prototypes into production systems, provide mentorship and technical guidance • Roadmap & standards: Drive the technical vision for data platform capabilities and establish architectural patterns that become team standards

🎯 Requirements

• Experience: 5+ years in data engineering, including ownership of data infrastructure for large-scale systems • Software engineering strength: Strong coding, debugging, performance analysis, testing, and CI/CD discipline; reproducible builds • Cloud & containers: Production experience on AWS, Docker + Kubernetes (EKS/ECS or equivalent) • IaC: Terraform or CloudFormation for managed, reviewable environments • Data engineering: Expert SQL, data modeling, schema design, modern orchestration (Airflow/Step Functions) and ETL tools • Warehouses & Data Lakes: Databricks (experience is a must), Spark, Redshift and Data lake formats (Parquet) • Monitoring/observability: Data monitoring (quality, drift, performance) and pipeline alerting • Collaboration: Excellent communication, comfortable working with data scientists, analysts, and engineers in a fast-paced startup • PySpark/Glue/Dask/Kafka: Experience with large-scale batch/stream processing • Analytics platforms: Experience integrating 3rd party data • Experience building data products on medallion architectures • Be mission-oriented: Proactive and self-driven with a strong sense of initiative; takes ownership, goes beyond expectations, and does what's needed to get the job done

🏖️ Benefits

• Competitive compensation, flexible remote work • Unlimited Responsible PTO • Great opportunity to join a growing, cash-flow-positive company while having a direct impact on Nift's revenue, growth, scale, and future success

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