Data Engineer

Job not on LinkedIn

🕒 November 24, 2025

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 59%

What it means: the chance that no one is really hiring for this job.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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Advancio

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Advancio is an IT outsourcing company that specializes in cutting-edge application development and digital transformation. With a focus on innovative technologies such as machine learning, cognitive AI, and cloud infrastructure, Advancio provides extensive IT services including software development, data analytics, and quality assurance. Their commitment to empowering organizations and delivering top-tier tech solutions positions them as a dedicated partner in navigating the complexities of modern technology.

📋 Description

• Analyze large and diverse datasets to uncover patterns, trends, and actionable insights. • Develop, train, and deploy machine learning models to solve complex business problems. • Collaborate with cross-functional teams to identify opportunities for data-driven improvements. • Build and maintain predictive models, recommendation systems, or optimization algorithms. • Design and implement data preprocessing pipelines, ensuring data quality and accessibility. • Create compelling visualizations and reports to communicate findings effectively to stakeholders. • Stay updated with the latest advancements in data science, machine learning, and AI technologies.

🎯 Requirements

• 5+ years of professional experience in data science or related fields. • Advanced English communication skills, both verbal and written. • Proficiency in programming languages such as Python or R, with experience in data manipulation libraries (e.g., Pandas, NumPy). • Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Strong statistical analysis skills and knowledge of algorithms and data structures. • Experience with SQL and working with relational databases. • Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP). • Ability to create data visualizations using tools like Tableau, Power BI, or Matplotlib.

🏖️ Benefits

• Professional development opportunities

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