Analista de Dados Sênior com Databricks e PySpark

Jobgether; United States; Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Healthcare Coverage

Food Allowances

Childcare Support

Parental Leave

Health and Wellness programs

Job summary

Jobgether is seeking a data-focused professional to lead data engineering, AI agent development, and automation. You will build and optimize data pipelines, harness Generative AI for automation, and integrate analytics with decision platforms. Strong Python/SQL, ETL/ELT, and cloud experience are required.

You will collaborate with technical and business stakeholders to deliver measurable impact, explore graph analytics, and continuously improve data processes in a remote-capable role.

Qualifications

• Professional experience in data engineering, data analysis, or data-driven solutions.
• Experience with AI projects, automation, and agent-based systems desired.
• Strong Python, SQL and data pipeline skills; familiarity with ETL/ELT.
• Knowledge of CI/CD and GitHub workflows; cloud experience is a plus.
• Understanding of data modeling, data quality, and governance.

Responsibilities

• Analyze structured and unstructured data to uncover trends and opportunities.
• Design and implement data-driven AI agents and multi-agent systems.
• Propose automated workflows using tools like n8n and modern automation tech.
• Apply Generative AI to automate tasks and enrich datasets.
• Build and manage data pipelines, ensuring quality and integrity.
• Integrate analytical solutions with decision platforms (e.g., FICO).
• Explore graph techniques to reveal relationships and insights.
• Stay updated on tech trends and propose improvements.
• Prepare analytical reports and executive presentations.

Skills

Python

SQL

Databricks

PySpark

ETL/ELT

CI/CD (GitHub)

Azure Databricks

GCP

Generative AI

Graph Analytics

n8n

Data Modeling

Neo4j

Data Governance

Tools

Databricks

Neo4j

Graph Data Science

n8n

GitHub

Azure ML

Databricks on GCP

Job description

Jobgether is seeking a data-focused professional to lead data engineering, AI agent development, and automation. You will build and optimize data pipelines, harness Generative AI for automation, and integrate analytics with decision platforms. Strong Python/SQL, ETL/ELT, and cloud experience are required.

You will collaborate with technical and business stakeholders to deliver measurable impact, explore graph analytics, and continuously improve data processes in a remote-capable role.