Data Infrastructure Engineer Id35383 Para Salvador

AgileEngine está com vaga(s) de emprego para Data Infrastructure Engineer Id35383 Para Salvador em Salvador / BA

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Data Infrastructure Engineer ID35383 – Salvador – AgileEngine

Join to apply for the Data Infrastructure Engineer ID35383 role at AgileEngine .

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you enjoy a challenging environment working with top talent and are encouraged to learn and experiment daily, this is the place for you!

What You Will Do

• Architect, build, and maintain modern real-time and batch data analytics pipelines;
• Develop and maintain declarative data models and transformations;
• Implement data ingestion integrations for streaming and traditional sources such as Postgres, Kafka, and DynamoDB;
• Deploy and configure BI tools for data analysis;
• Collaborate with product, finance, legal, and compliance teams to build dashboards and reports supporting business operations, regulatory obligations, and customer needs;
• Establish, communicate, and enforce data governance policies;
• Document and share best practices regarding schema management, data integrity, availability, and security;
• Protect sensitive data through secure permissioning, data masking, and tokenization;
• Identify and communicate data platform needs, including tooling and staffing;
• Work with cross-functional teams to define requirements, plan projects, and execute them.

Minimum Requirements

• 5+ years of engineering and data analytics experience;
• Strong SQL and Python skills for complex data analysis;
• Hands-on experience with automation tooling and pipelines using Python, Go, or TypeScript;
• Experience with data pipeline and warehouse tools like Databricks, Spark, or AWS Glue;
• Experience with infrastructure-as-code using Terraform;
• Proficiency in declarative data modeling and transformation tools like DBT;
• Familiarity with real-time data streaming technologies such as Kafka or Spark;
• Experience with data orchestration platforms like Airflow;
• Background in cloud-based data lakes and secure data practices;
• Ability to work independently and drive projects end-to-end;
• Upper-intermediate English proficiency.

Preferred Skills

• Familiarity with container orchestration (e.g., Kubernetes);
• Experience managing external data vendors;
• Exposure to Web3 / Crypto data systems;
• Experience working cross-functionally with compliance, legal, and finance teams;
• Leadership in data governance or permissioning frameworks;
• Strong focus on simplicity, speed, and avoiding overengineering.

Benefits

• Professional growth: Mentorship, TechTalks, and personalized development plans.
• Competitive compensation: USD-based salary, education, fitness, and team activity budgets.
• Exciting projects: Work with Fortune 500 clients and top-tier brands.
• Flextime: Flexible work hours, remote and in-office options.

Your application process continues via email and our Applicant Site. Please complete your registration to proceed.

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