Data Engineer, Tableau

Particle41

Data Engineer designing, building, and maintaining data pipelines and Tableau dashboards at Particle41. Collaborating on AI-assisted workflows and engaging with cross-functional teams.

Posted 6/18/2026full-timeRemote • 🇦🇷 ArgentinaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLFlaskGoogle Cloud PlatformLinuxMongoDBMySQLNoSQLPandasPostgresPySparkPythonRedisScikit-LearnSparkSQLTableau

About the role

Key responsibilities & impact

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.
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.
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.
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.
Participate in sprint planning, stand-ups, and sprint reviews.
Deliver solutions on time and within scope. Adapt when priorities shift.
Write unit and integration tests to validate pipeline reliability and data accuracy.
Identify and resolve defects, performance bottlenecks, and data quality issues.
Stay current with cloud platforms (AWS, Azure, GCP) and emerging data engineering tools.
Propose solutions to improve performance, security, and scalability.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

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Hard Skills & Tools

ETLELTdata modelingPythonSQLNoSQLTableaumachine learningdata warehousingdata lakes

Soft Skills

communicationcollaborationadaptabilityproblem-solvingstakeholder engagementdocumentationattention to detailtime managementtechnical inputrequirements gathering

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineering