Data Engineer

MetaCTO; Belo Horizonte; Teletrabalho; BRL 20.000 - 80.000; Tempo integral

Resumo da oferta

A leading cybersecurity awareness training company is seeking a Data Engineer to enhance their data infrastructure. You will manage a Snowflake-based warehouse, improve data quality, and collaborate with cross-functional teams to support analytics and AI/ML capabilities. This role requires strong SQL expertise and a passion for delivering clean, performant data systems.

Qualificações

• 3–5 years of experience in data engineering with a focus on data warehousing.
• Proven experience with Snowflake or similar cloud data warehouse platforms.

Responsabilidades

• Design, implement, and optimize a Snowflake-based data warehouse.
• Develop and maintain robust ETL pipelines to ingest and transform data.

Conhecimentos

SQL

Data Warehousing

ETL

Python

Ferramentas

Snowflake

AWS

GCP

Azure

Tableau

Power BI

Apache Airflow

Descrição da oferta de emprego

9 Urgent Openings - See Data Engineer jobs in nearby areas and apply online today. Hundreds of jobs available for immediate start. New positions are regularly added. Explore opportunities at JobSearcher. Apply now to Data Engineer jobs.

Entry Level Remote Data Entry Jobs - Data Entry Jobs Available. No Experience Needed. Hiring Immediately. Apply Today. Browse thousands of Data Entry Jobs on Jobs2Careers. Jobs Near You. Warehouse & airport jobs. Fast Hires.

Discover diverse career opportunities in the USA. Browse and apply for your next big break. Unlock your future for free. Don't wait—apply now and seize the opportunity. Create job alerts. Full & part-time jobs available. Powerful and easy to use. Over 900,000 jobs available. Get more related info.

About the Company
You will work with a cybersecurity awareness training company that produces high-quality, Hollywood-style learning content designed to educate individuals and organizations on how to recognize and respond to cyber threats. Their platform combines engaging educational media with an integrated phishing simulator, helping businesses reduce risk through behavior change. Their solution is trusted globally by organizations seeking to strengthen their human layer of security.

The Role
We’re looking for a Data Engineer to support the core data infrastructure powering product insights, BI reporting, and future AI/ML capabilities. In this role, you’ll lead the ongoing modernization of the company’s data stack—focusing on managing a Snowflake-based warehouse, improving data quality, and delivering reliable, structured data for both internal analytics and customer-facing features. This is a hands-on engineering position requiring deep SQL expertise, ETL development, and cross-functional collaboration with engineering, product, and analytics teams.

Key Responsibilities

1. Design, implement, and optimize a Snowflake-based data warehouse to support a growing range of product and business needs.
2. Develop and maintain robust ETL pipelines to ingest, transform, and organize data from various sources.
3. Monitor data pipelines for integrity, performance, and anomalies—responding quickly to issues and optimizing performance as needed.
4. Build and maintain clean, reliable datasets to support internal BI dashboards and reporting workflows.
5. Translate business requirements into structured data models and schema designs.
6. Support SQL performance tuning, troubleshoot query exceptions, and respond to ad hoc data support requests from internal teams.
7. Implement data validation and cleansing routines to ensure accuracy and consistency.
8. Collaborate with Product and Data Science teams to deliver structured datasets that power AI/ML model development and feature engineering.
9. Participate in data governance efforts by documenting processes, data sources, and best practices.
10. Ensure security and compliance across all stages of data collection, storage, and access.

Qualifications

• 3–5 years of experience in data engineering with a focus on data warehousing, ETL pipelines, and structured analytics environments.
• Proven experience with Snowflake or similar cloud data warehouse platforms.
• Strong SQL skills—including complex query design, optimization, and exception handling.
• Proficiency with Python or another scripting language. Familiarity with modern cloud platforms (AWS, GCP, or Azure), BI tools (e.g., Tableau, Power BI, Looker), and orchestration frameworks like Apache Airflow.
• Experience supporting AI/ML workflows is a plus.

Why Join
This is a chance to build and scale the data foundation of a cybersecurity company making a real-world impact. You’ll work with a small, agile team that values autonomy, ownership, and smart engineering choices. If you’re passionate about delivering clean, performant data systems that drive real business outcomes—and excited by the challenge of supporting AI innovation and robust BI reporting—this is the role for you.