Senior Data Engineer

Location : Fully Remote (Supporting PT Time Zone)

Employment Type : Contract / Freelance / CNPJ

We are Remobi - We empower businesses to scale, innovate, and achieve their goals through high-quality technical solutions delivered by high performing, high quality, REMOTE nearshore technology teams.

About the Role

We are seeking a Senior Data Platform Engineer to join a project within the fintech industry.

You will be part of the Data Platform team and take ownership of our Snowflake-based data platform . You’ll be working with cutting-edge technologies like Airflow, Snowflake, and Terraform , ensuring seamless data flow, governance, and performance. This is a high-impact role , directly influencing our financial data operations.

Key Responsibilities

Snowflake Administration – Manage users, roles, permissions, and governance.

Data Pipelines & Workflow Orchestration – Build & maintain Airflow-based ETL pipelines .

Infrastructure as Code (IaC) – Implement and maintain Terraform-based infrastructure.

New Data Integrations – Support new fintech projects, including loans, payment providers, and legacy data migration to Snowflake .

Who You Are

5+ years of experience in data engineering or data platform engineering .

Strong Python & SQL skills for ETL development and data transformation .

Expertise in Snowflake administration & performance tuning .

Experience with Airflow for workflow automation.

Hands-on experience with Terraform & AWS (S3, IAM, Lambda, etc.) .

Understanding of data governance, security, and compliance best practices .

Nice-to-Have Skills

Experience with Fivetran or other data ingestion tools.

Familiarity with Business Data Tools (BDT) .

Fintech / financial services background.

Prior experience in legacy-to-Snowflake migration .

Why Join Us?

Work with modern data infrastructure & impact financial operations.

Collaborate with top engineers & business leaders in a fast-paced fintech environment.

Competitive Hourly Rate in USD

Fully Remote Position - Must support Pacific Time Zone.

Hiring Process

One-stage interview process – Fast & efficient.

Knowledge transfer materials already prepared

Apply today & be part of our fintech data revolution!

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