Data Consultant

🕒 October 28, 2025

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💼 Consultant

👻 Ghost score 65%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Particle41

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Particle41 is a company that specializes in providing expertise and solutions in technology development, data science, and DevOps. They offer CTO advisory services, acting as a partner to strengthen tech strategies and deliver robust software solutions tailored to their clients' needs. Particle41 emphasizes modernizing operations using cloud architecture, integrating software systems, and leveraging artificial intelligence to provide innovative digital products. They work closely with businesses to ensure on-time project delivery, scalability, and maintaining data security. Particle41 is particularly focused on helping businesses improve their competitive edge through strategic tech solutions and ongoing support.

📋 Description

• Design, develop, and maintain scalable ETL pipelines processing large volumes of data • Build and optimize data lakes and data warehouses • Integrate structured and unstructured data from internal and external systems • Ensure data accuracy, consistency, and completeness through validation, cleansing, and transformation • Maintain documentation for data processes, tools, and systems • Gather requirements with product managers and stakeholders and translate them into technical solutions • Participate in requirements analysis and provide technical recommendations • Participate in Agile ceremonies including sprint planning, daily stand-ups, and sprint reviews • Deliver software solutions on time and within scope • Conduct testing and debugging for reliability, security, and performance • Write unit and integration tests • Resolve software defects, code smells, and performance bottlenecks • Stay current with full-stack development technologies and cloud platforms • Propose innovative solutions and optimize or refactor existing code • Collaborate with testers, product managers, and cross-functional teams

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or related field • Over 3 years of experience in data engineering • Proficiency in Python • Experience with SQL databases such as MySQL and PostgreSQL • Experience with NoSQL databases such as MongoDB • Understanding of Flask, API frameworks, data warehousing/lakehouse, ORM, Databricks, pandas, Spark, PySpark, machine learning, OpenCV, and scikit-learn • Experience with logging, requests, subprocess, regex, pytest • Experience with ELK stack, Redis, and distributed task queues • Understanding of concurrent/parallel processing concepts • Familiarity with at least one cloud data engineering stack: Azure, AWS, or GCP • Ability to learn and adapt to ETL/ELT tools across cloud providers • Familiarity with Git and collaborative development workflows • Competence working on Linux OS and creating shell scripts • Understanding of software engineering principles, design patterns, and best practices • Excellent problem-solving and analytical skills • Effective written and verbal communication skills • Adaptability and willingness to learn new technologies and tools

🏖️ Benefits

• Equal employment opportunities • Supportive and dynamic work environment • Opportunity to contribute to impactful projects and grow skills