Blue Orange DigitalBD

Data Engineer

Blue Orange Digital is a data science, machine learning, and data visualization firm that works with businesses to implement data-driven analytic techniques. They help organizations optimize and automate their businesses, implement data-driven analytic techniques, and understand the implications of new technologies such as artificial intelligence, big data, and the Internet of Things.

Blue Orange Digital

Employee count: 51-200

Salary: 58k-63k USD

AR, BR + 1 more

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 500s, 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.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

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.
  • Any other duties as directed by your direct manager.

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.

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.

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 58k-63k USD

Location requirements

Hiring timezones

Argentina +/- 0 hours, and 2 other timezones

About Blue Orange Digital

Learn more about Blue Orange Digital and their company culture.

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At Blue Orange Digital, we are at the forefront of data science and machine learning, pioneering innovative solutions to tackle the most complex and impactful challenges for businesses. Through groundbreaking technology, we are revolutionizing how organizations leverage their data. Our mission is to unleash the power of data for impact, building a world-class professional services team dedicated to this singular purpose. We empower our clients by implementing data-driven analytic techniques derived from statistical modeling and data science, helping them optimize and automate their businesses faster and more efficiently. Our team, comprised of passionate data engineers, PhDs, data scientists, and visualization experts, possesses the intellectual prowess and diverse perspectives that form the bedrock of our thought leadership in the ever-evolving datascape.

Our vision extends beyond mere problem-solving; we strive to leave a lasting impact, one data-driven decision at a time. We believe that data-driven decision-making is the cornerstone of success, and we equip our team with the tools and expertise to unlock its full potential. At the heart of our mission is an unwavering commitment to talent. We cultivate a collaborative environment where exceptional individuals can thrive and grow, fostering a culture of knowledge sharing and continuous learning. Integrity and empathy are core values at Blue Orange Digital. We are committed to honesty, transparency, and ethical behavior in all our endeavors, striving to always do the right thing. We believe in understanding our clients' unique needs and challenges to provide personalized solutions. By working closely with our clients, we help them unlock the power of data and advanced analytics to generate new sources of value and modernize their data environments. Whether it's through predictive analytics, automation, or optimization with machine learning, we are dedicated to helping organizations implement data-driven analytic techniques and understand the implications of new technologies like artificial intelligence, big data, and the Internet of Things.

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Blue Orange Digital

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