Data Engineer
Rio de Janeiro, BR / São Paulo, BR / Buenos Aires, AR / Mexico City, MX / Brazil-%LABEL POSITION TYPE REMOTE ANY%
Company Overview:
Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500’, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company.
Position Overview:
Blue Orange is seeking a Data Engineer to join our team to help build up our data engineering practice. Our engineers require a diverse skill set including system administration, DevOps, infrastructure automation, data modeling, and workflow orchestration. Blue Orange builds enterprise data platforms and systems for a variety of clients, so this candidate should have experience with supporting modern data technologies. The ideal candidate will have experience with multiple data engineering technologies across multiple clouds and deployment scenarios. In particular, we’re looking for someone with experience with Azure DevOps, Databricks, and Python.
Responsibilities:
- Work with data teams to help design, build, and deploy data platforms in the cloud (Azure, AWS, GCP) and automate their operation.
- Work with Azure DevOps, Azure Pipelines, Terraform, CloudFormation, and other Automation and infrastructure tools to build robust systems.
- Work with Databricks, Spark, Python other data orchestration, and ETL tools to build high-performance data pipelines.
- Provide leadership in applying software development principles and best practices, including Continuous Integration, Continuous Delivery/Deployment, and managing Infrastructure as Code, and Automated Testing across multiple software applications.
- Support heterogeneous technologies environments including both Windows and Linux systems.
- Develop reusable, automated processes, and custom tools.
Requirements:
- BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
- At least 2 years experience building and supporting data platforms; exposure to data technologies like Azure Data Factory, Azure Synapse Analytics, Airflow, Spark, etc.
- Experience with Cloud Data Platforms, like Snowflake and Databricks.
- Advanced level Python, SQL, and Bash scripting.
- Experience designing and building robust CI/CD pipelines.
- Strong Linux system administration skills.
- Comfortable with Docker, configuration management, and monitoring tools.
- Knowledge of best practices related to security, performance, and disaster recovery.
- Experience working in cloud environments, at a minimum experience in Azure and AWS.
- Enjoys collaborating with other engineers on architecture and sharing designs with the team.
- Excellent verbal and written English communication.
- Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment.
Preferred qualifications:
- Hold certifications for Azure DevOps, Azure Data Fundamentals, Databricks, Snowflake
Benefits:
- Fully remote
- Flexible Schedule
- Unlimited Paid Time Off (PTO)
- Paid parental/bereavement leave
- Worldwide recognized clients to build skills for an excellent resume
- Top-notch team to learn and grow with
Salary: USD $4850 - $5250 (monthly salary range)
Background checks may be required for certain positions/projects.
Blue Orange Digital is an equal opportunity employer.
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Background checks may be required
Benefits/PerksFlexible schedule Fully remote Paid bereavement leave Paid parental/bereavement leave Paid parental leave Skill-building opportunities Top-notch team Unlimited Paid Time Off
Tasks- Apply software development principles
- Automate operations
- Build
- Build data pipelines
- Deploy data platforms
- Design
- Develop automated processes
- Support heterogeneous environments
AI AI/ML Airflow Automation AWS Azure Azure Data Factory Azure DevOps Azure Synapse Analytics Bash Bash scripting CI/CD CI/CD pipelines CloudFormation Configuration Management Data Analytics Techniques Databricks Data engineering Data Modeling Data Pipelines Data technologies DevOps Docker ETL GCP Infrastructure as Code Infrastructure Automation Linux Linux System Administration Monitoring tools Python Snowflake Spark SQL System Administration Terraform Windows Workflow Orchestration
Experience2 years
EducationB.A. B.S. Business Computer Science Data Analytics Engineering Related technical field Technical field
CertificationsAzure data fundamentals Azure devops Databricks Snowflake
TimezonesAmerica/Argentina/Tucuman America/Cancun America/Hermosillo America/Manaus America/Mexico_City America/Rio_Branco America/Sao_Paulo America/Tijuana UTC-3 UTC-4 UTC-5 UTC-6 UTC-7 UTC-8