Data Infrastructure Engineer ID35383

AgileEngine; Manaus; Teletrabalho; USD 80.000 - 100.000; Tempo integral

Resumo da oferta

A leading company in IT services seeks a Data Infrastructure Engineer to architect and maintain data analytics pipelines. You will work with modern technologies and collaborate across teams to support business operations. This role offers professional growth and competitive USD-based compensation.

Serviços

Professional growth through mentorship

Competitive USD-based compensation

Budgets for education, fitness, and team activities

Flexible work schedule

Qualificações

• 5+ years of engineering and data analytics experience.
• Ability to work independently and drive projects end-to-end.

Responsabilidades

• Architect, build, and maintain data analytics pipelines.
• Collaborate with cross-functional teams to define requirements.

Conhecimentos

SQL

Python

Go

TypeScript

DBT

Kafka

Spark

Terraform

Airflow

English

Ferramentas

Databricks

AWS Glue

Descrição da oferta de emprego

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 like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! :)

Responsibilities

• Architect, build, and maintain modern and robust 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 tooling 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 plans

Minimum Qualifications

• 5+ years of engineering and data analytics experience
• Strong SQL and Python skills for complex data analysis
• Experience building 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 with declarative data modeling and transformation tools like DBT
• Familiarity with real-time data streaming technologies such as Kafka and Spark
• Experience configuring and maintaining 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

Nice to Haves

• Knowledge of 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
• Experience leading company-wide data governance frameworks
• Strong preference for simplicity, speed, and avoiding overengineering

Benefits

• Professional growth through mentorship, TechTalks, and personalized development plans
• Competitive USD-based compensation and budgets for education, fitness, and team activities
• Exciting projects with modern solutions and top-tier clients including Fortune 500 companies
• Flexible work schedule, including remote work options

To proceed, check your email and complete your registration on our Applicant Site. Incomplete registration will terminate your application process.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting