# Data Engineer

**Company:** [99x Brazil](https://jobs.workable.com/companies/o46v8cTo8oqXp2WFZKR6o5.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time

[Apply for this job](https://jobs.workable.com/view/da0faae4-b535-4c83-98b4-3b7acdccdcf2)

## Description

Join a leading U.S.-based technology platform for the life insurance and annuities industry. Through innovative enterprise solutions and data-driven insights, the company simplifies how insurance products are bought, sold, and administered, helping millions of people protect their financial futures.

With a bold, collaborative, and value-driven culture, the company manages hundreds of billions of dollars in assets under administration and partners with more than 100 insurance carriers and thousands of distributors across the market.  

### Responsibilities

-   Design, develop, and optimize complex ETL pipelines that integrate large data sets from various sources.
-   Build and maintain high-performance data models using Google BigQuery/ Snowflake and DBT for data transformation.
-   Develop Python scripts for data ingestion, transformation, and automation.
-   Implement and manage data workflows using Apache Airflow for scheduling and orchestration.
-   Collaborate with data scientists, analysts, and other stakeholders to ensure data availability, reliability, and performance.
-   Troubleshoot and optimize data systems, identify issues, and resolve them proactively.
-   Work on cloud-based platforms, particularly AWS, to leverage scalability and storage options for data pipelines.
-   Ensure data integrity, consistency, and security across systems.
-   Take ownership of end-to-end data engineering tasks while mentoring junior team members.
-   Continuously improve processes and technologies for more efficient data processing and delivery.
-   Act as a key contributor to developing and supporting complex data architectures.

## Requirements

-   Bachelor’s degree in computer science, Information Technology, or related field.
-   4+ years of hands-on experience in Data Engineering or related fields, with a strong background in building and optimizing data pipelines
-   Strong proficiency in Google Big Query, including designing and optimizing queries or other equivalent Datawarehouse (Snowflake).
-   Knowledge of dbt for data transformation and model management.
-   Proficiency in Python for data engineering tasks, including scripting, data manipulation, and automation.
-   Solid experience with Apache Airflow for workflow orchestration and task automation.
-   Extensive experience in building and maintaining ETL pipelines.
-   Familiarity with cloud platforms, particularly AWS (Amazon Web Services), including tools like S3, Lambda, Redshift, or Glue.
-   Excellent problem-solving and troubleshooting abilities.
-   Strong communication and collaboration skills with the ability to work effectively in a team environment.
-   Self-motivated, detail-oriented, and able to work with minimal supervision.
-   Ability to manage multiple priorities and deadlines in a fast-paced environment.
-   Experience with other cloud platforms (e.g., AWS, Azure) is a plus.
-   Knowledge of data warehousing best practices and architecture.

## Benefits

-   Your pick when it comes to employment models: CLT/PJ/Cooperativa;
-   We provide resources for you to grow and learn on the job, including online courses, mentoring, and the latest gen laptops;
-   A fully remote work environment with flexible working hours;
-   Bonus for any referrals that we end up hiring;