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Open nowPosted 8 hours agoWe saw it 37 min after it went up

Senior Data Engineer - USA

Coderio16 open roles

Where
Miami, Florida
Work mode
Remote
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Your applicationOpen nowSenior Data Engineer - USACoderio · Miami, Florida

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Coderio's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Coderio postings stay open a median of 36 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 8 hours ago

Coderio median: 36 days open

The posting

About Coderio

Coderio designs and delivers scalable digital solutions for global companies. With a solid technical foundation and a product-oriented mindset, our teams lead complex software projects—from architecture to execution. We value autonomy, clear communication, and technical excellence. We collaborate closely with international teams and partners, building technology that creates an impact.

🌍 Learn more: http://coderio.com

Job Overview

  • Work Location / Employment: US-based (Remote / Hybrid) — Must be authorized to work in the United States.
  • Cloud Platforms: AWS (Redshift, Glue, EMR, MWAA, S3) & GCP (BigQuery, Cloud Storage)
  • Languages & Frameworks: Python, PySpark, SQL (advanced optimization & tuning)
  • Data Engineering & Ops: Batch & Stream Processing, ETL/ELT Pipelines, Data Modeling, Data Warehousing, Orchestration
  • DevOps, Infrastructure & Tools: Docker, Terraform, CI/CD pipelines, UNIX/Linux environments, MLOps best practices
  • Pipeline Architecture & Development: Design, build, and deploy scalable, decoupled, and high-performance data pipelines for batch and streaming data ingestion into Data Lakes and Data Warehouses.
  • ETL/ELT Processing: Develop and optimize efficient data pipelines using Python, PySpark, and advanced SQL.
  • Collaboration with ML & Data Science: Partner with Data Scientists and ML Engineers to build resilient pipelines, automate MLOps workflows, and gather model interaction data to support retraining loops.
  • Performance Optimization & Monitoring: Continuously monitor, troubleshoot, and optimize pipeline execution, query performance, and storage resource utilization across cloud platforms.
  • Data Quality & Governance: Implement data quality frameworks and testing controls to ensure data integrity, reliability, and governance across raw and curated datasets.
  • DevOps & Standards: Apply MLOps and DevOps best practices, maintain CI/CD pipelines, use Docker for containerization, and document technical standards and architectures.
  • Experience: 5+ years of experience in Data Engineering, with a proven track record of designing and running large-scale data systems.
  • Core Languages: Mastery of Python and advanced SQL (query optimization and performance tuning).
  • Cloud & Big Data Tools: Hands-on experience with AWS (Redshift, Glue, EMR, MWAA, S3) or GCP (BigQuery) and modern data processing engines (PySpark).
  • Engineering Ecosystem: Proficiency with UNIX environments, Docker, Git, and CI/CD pipelines.
  • Data & ML Lifecycle: Solid understanding of data structures, batch/streaming processing, and familiarity with MLOps or the ML deployment lifecycle.
  • Communication: Excellent verbal and written English communication skills.
  • Experience with Infrastructure as Code (e.g., Terraform).
  • Experience building and maintaining scalable REST APIs.
  • Exposure to prompt engineering workflows or generative AI data pipelines.

Why join Coderio?

At Coderio, we value talent regardless of location. We are a remote-first company, passionate about technology, collaborative work, and fair compensation. We offer an inclusive, challenging environment with real opportunities for growth. If you are motivated to build impactful solutions, we’re looking for you.

Apply now.

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