Senior Data Engineer

🔥 5 minutes ago

🏄 California, Florida, +3 more states – Remote

🏄 California – Remote 🐊 Florida – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote ☕ Washington – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Coderio

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Coderio is a nearshore software development firm that provides on-demand engineering teams, IT staff augmentation, and fully managed software outsourcing to accelerate clients' digital transformation. They deliver front-end, back-end, mobile, cloud, data science, e-commerce, and QA solutions, and operate specialized studios for Data Governance, Machine Learning & AI, and Open Banking. Coderio emphasizes enterprise-level, timezone-aligned, fully-vetted, English-proficient engineering talent for B2B customers.

📋 Description

• Design, build, and deploy scalable, decoupled, high-performance data pipelines for batch and streaming ingestion into Data Lakes and Data Warehouses • Develop and optimize ETL/ELT pipelines using Python, PySpark, and advanced SQL • Partner with Data Scientists and ML Engineers to build resilient pipelines, automate MLOps workflows, and gather model interaction data for retraining loops • Monitor, troubleshoot, and optimize pipeline execution, query performance, and cloud storage resource utilization • Implement data quality frameworks and testing controls for data integrity, reliability, and governance • Apply MLOps and DevOps best practices • Maintain CI/CD pipelines and use Docker for containerization • Document technical standards and architectures • Enable Data Products throughout their lifecycle, including sourcing data via batch and stream processing and optimizing data architecture

🎯 Requirements

• Must be based in the United States • Must be authorized to work in the United States • 5+ years of experience in Data Engineering • Proven track record of designing and running large-scale data systems • Mastery of Python • Advanced SQL, including query optimization and performance tuning • Hands-on experience with AWS (Redshift, Glue, EMR, MWAA, S3) or GCP (BigQuery) • Experience with modern data processing engines, including PySpark • Proficiency with UNIX environments, Docker, Git, and CI/CD pipelines • Solid understanding of data structures, batch/streaming processing • Familiarity with MLOps or the ML deployment lifecycle • Excellent verbal and written English communication skills • Experience with Infrastructure as Code, such as Terraform, nice to have • Experience building and maintaining scalable REST APIs, nice to have • Exposure to prompt engineering workflows or generative AI data pipelines, nice to have

🏖️ Benefits

• Remote-first company • Fair compensation • Inclusive, challenging environment • Real opportunities for growth • Remote / hybrid work arrangement