Senior Data Engineer (Python Coder)

About Us

MyRemoteTeam, Inc is a fast-growing distributed workforce enabler, helping companies scale with top global talent. We empower businesses by providing world-class software engineers, operations support, and infrastructure to help them grow faster and better.

Position:

Location:

Work Commitment:

Contract Duration:

Client:

BGV:

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Exp: Min. 8 Years

Role Summary

Senior Data Engineer

Your primary mission is to build scalable, automated systems that transform massive, raw datasets into pristine, model-ready formats. While your focus will be on data engineering, your expertise will be valued in collaborating on model training runs and experiments. You're the perfect fit if you are a Python expert who thrives on solving large-scale data challenges and enjoys working at the intersection of data engineering and machine learning.

Key Responsibilities

Architect & Build:

Data Quality:

Data Transformation

Collaboration:

Optimization:

ML Support (Secondary):

Required Qualifications

• 8+ years of professional experience in data engineering, data processing, or backend software engineering.
• Expert-level proficiency in Python and its data ecosystem (e.g., Pandas, NumPy, Dask, Polars).
• Proven experience building and maintaining large-scale data pipelines.
• Deep understanding of data structures, data modeling, and software engineering best practices (Git, CI/CD, testing).
• Experience handling and parsing diverse data formats (JSON, CSV, XML, Parquet) at scale.
• Excellent problem-solving skills and a meticulous attention to detail.
• Strong communication and collaboration skills, with experience working in a team environment.

Preferred Qualifications (Nice-to-Haves)

• Hands-on experience with the data preprocessing pipeline for an LLM (e.g., LLaMA, BERT, GPT-family).
• Strong experience with big data frameworks like Apache Spark or Ray.
• Experience with Hugging Face libraries (Transformers, Datasets, Tokenizers).
• Familiarity with ML frameworks like PyTorch or TensorFlow.
• Proficiency with cloud platforms (AWS, GCP, Azure) and their data/storage services.