Data Engineer (Tableau)
- Level
- Mid
- Work type
- Remote · Argentina only
Not stated in the posting: salary, visa.
Open. First seen 3 October 2026.
About the role
Data Engineer
Particle41 is seeking a talented Data Engineer to join our team. You will design, build, and maintain data pipelines and infrastructure, support client-facing data visualization, and contribute to AI-assisted data workflows. You will work across the full data lifecycle — from raw ingestion to polished, decision-ready output — in collaboration with cross-functional teams.
In This Role You Will
Software Development
- Design, develop, and maintain scalable ETL/ELT pipelines to process large volumes of data from diverse sources.
- Build and optimize data storage solutions — data lakes and data warehouses — for efficient retrieval and processing.
- Integrate structured and unstructured data from internal and external systems into a unified view for analysis.
- Ensure data accuracy, consistency, and completeness through validation, cleansing, and transformation.
- Maintain clear documentation for data processes, tools, and systems.
Data Visualization
- Build and maintain Tableau dashboards and reports that translate complex datasets into clear, decision-ready visuals.
- Design data models and extracts optimized for Tableau performance, including live connections and published data sources.
- Apply data visualization best practices — chart selection, layout, color, and interactivity — to produce client-ready output.
- Partner with stakeholders to understand reporting needs and translate them into visual solutions.
- Support ad hoc analysis using Tableau, Python-based charting (matplotlib, seaborn, plotly), or similar tools.
AI and Data Support
- Support AI/ML workflows by building and maintaining the data pipelines that feed model training, inference, and evaluation.
- Assist with data preparation for LLM and machine learning projects, including feature engineering, tokenization pipelines, and vector store integration.
- Help teams adopt AI-assisted data tooling — copilots, intelligent search, automated reporting — by ensuring clean, well-structured data is available upstream.
- Contribute to prompt engineering and evaluation frameworks where data context is a key input.
Requirements Gathering and Analysis
- Work with product managers and stakeholders to gather requirements and translate them into technical solutions.
- Provide technical input during requirements sessions to align data capabilities with business needs.
Agile Development
- Participate in sprint planning, stand-ups, and sprint reviews.
- Deliver solutions on time and within scope. Adapt when priorities shift.
Testing and Debugging
- Write unit and integration tests to validate pipeline reliability and data accuracy.
- Identify and resolve defects, performance bottlenecks, and data quality issues.
Continuous Learning
- Stay current with cloud platforms (AWS, Azure, GCP) and emerging data engineering tools.
- Propose solutions to improve performance, security, and scalability.
Skills and Experience We Value
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3+ years of experience as a Data Engineer.
- Strong Python proficiency.
- Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) databases.
- Hands-on experience with Tableau — dashboard development, data source management, and performance optimization.
- Familiarity with data warehousing and lakehouse principles; experience with Databricks, Spark, PySpark, and pandas.
- Experience building or supporting ML/AI data pipelines, including feature stores, vector databases, or model serving infrastructure.
- Familiarity with at least one cloud data stack (Azure, AWS, or GCP).
- Working knowledge of the ELK stack, Redis, and distributed task queues.
- Proficiency with Python libraries including Flask, scikit-learn, requests, pytest, and logging utilities.
- Comfortable working in Linux and writing shell scripts.
- Familiarity with Git and collaborative development workflows.
- Strong communication skills and the ability to work across technical and non-technical teams.
About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do — ELITE.
E — Empowering: Enabling individuals to reach their full potential
L — Leadership: Taking initiative and guiding each other toward success
I — Innovation: Embracing creativity and new ideas to stay ahead
T — Teamwork: Collaborating with empathy to achieve common goals
E — Excellence: Striving for the highest quality in everything we do
Particle41 welcomes individuals from all backgrounds committed to our mission and values. We provide equal employment opportunities to all employees and applicants. Hiring and employment decisions are based on merit and qualifications — without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws.
For assistance during the application or interview process, contact us at careers@Particle41.com
What this role asks for
Particular to this role
Kibana · LLM · Pandas · Plotly · Prompt Engineering · Redis · Seaborn · Tableau
Rare in Particle41's other 25 open postings.
Standard for data engineering roles
Azure · Data Warehousing · ETL · GCP · SQL · Spark
Common in data engineering postings at any company.
In most of Particle41's ads
AWS · Git · Python
Named in most of its open postings, whatever the role.
Read against Particle41's other open postings on this site.
The team: Data Engineering
This role is one of 8 open in Data Engineering.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (7 of 8), Python (7 of 8), scikit-learn (7 of 8), AWS (6 of 8), Azure (6 of 8), Computer Vision (6 of 8), Databricks (6 of 8)
OTHER ROLES ON THIS TEAM
- AI Engineer posted Jun 26
- Data Engineer - PowerBI posted Jan 19
- Data Engineer posted Dec 3
- AI Engineer posted Nov 3
- Data Consultant posted Oct 28
- Data Engineer (Elasticsearch + Datawarehousing) posted Mar 7
- Data Science & Engineering Lead posted Oct 26
From the team and dates on Particle41's own job board.
See Data Engineer salaries in Remote →
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