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BlueCoding

Senior Data Engineer (V)

Fully Remote Data
Added
3 minutes ago
Location
Type
Full time
Salary
Not Specified

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Related skills

redshift terraform aws sql python

Why Blue Coding?

At Blue Coding, we specialize in hiring excellent developers and amazing people from all over Latin America and other parts of the world. For the past 11 years, we’ve helped cutting-edge companies in the United States and Canada build great development teams and develop great products. Large multinationals, digital agencies, Saas providers, and software consulting firms are just a few of our clients. Our team of over 150 engineers, project managers, QA, UX/UI designers, and many more is distributed in more than 10 countries across the Americas. We are a fully remote company working with a wide array of technologies, and we have expertise in every stage of the software development process.

Our team is highly connected, united, and culturally diverse, and our collaborators are involved in many initiatives around the world, from wildlife preservation to volunteering at local charities. We stand for honesty, fairness, respect, efficiency, hard work, and cooperation.

What are we looking for?

In this opportunity, we are looking for an experienced Data Engineer to work with one of our US clients, a corporation that, through its subsidiaries, provides life insurance protection targeted to the middle American market. The ideal candidate will be responsible for the development and maintenance of systems in their enterprise data and analytics environments. You will develop deep knowledge of our client's businesses as you help to optimize performance by building and supporting decision-making tools. You will partner closely with their software engineering, AI/ML, Cybersecurity, and DevOps/SysOps teams to deliver best-in-class data solutions that empower enterprise-wide reporting and analytics, including business-critical vendor relationships.

If you are independent, a great communicator, with great attention to detail, and a problem solver this is a great fit for you! Our jobs are fully remote and flexible - as long as you have the skills and can get the work done well, you can work anywhere in the listed countries (and anytime) you want.

What's unique about this job?

As a member of the Data Engineering team, you will be building the data layer that serves as a foundation for our client's key operations. You will support critical end-to-end data pipelines written in Python or Scala which serve internal and external customers. Working within the Agile framework, you will have the opportunity to design data pipelines, build database models, design infrastructure and alerting frameworks, and process data using methods from SFTPs to APIs. Data and Analytics is a key enterprise strength of our client and we look forward to having you on the team!

Here are some of the exciting day-to-day challenges you will face in this role:

  • Design, develop, and maintain data pipelines and data stores that support enterprise data science, analytics, and operations.
  • Identify, track, and analyze the performance of data layer services, implementing solutions and improvements to enhance stability, efficiency, and performance.
  • Collaborate with your peers across the Research and Technology organization.
  • Ability to guide, coach, and mentor engineers, BI Developers, and analysts.

    • You will shine if you have:

  • Bachelor’s degree in Computer Science, Information Systems, or demonstrated ability in a related field is required.
  • Expertise in data management using structured (SQL) and unstructured (NoSQL) approaches, with Redshift experience as a plus.
  • Proficiency in data visualization principles, especially with Power BI and Tableau.
  • Familiarity with Agile methodologies and tools like Jira.
  • Knowledge of software development life cycles and practices, including git and cloud-native technologies like S3, EMR (Spark), Lambda, Kinesis, Firehose, Glue, and Terraform.
  • Programming expertise in Python and/or Scala, with an understanding of infrastructure as code principles.
  • Experience in data pipeline design, database modeling for analytical datasets or feature stores, and cloud software monitoring/alerting.
  • Familiarity with client/server concepts, including SFTP, APIs, and web scraping, and supporting data visualization users (e.g., Tableau, Power BI) or analytics/data science teams.
  • Strong communication skills and a commitment to professional growth in data engineering and architecture.
  • Proven ability to design enterprise-scale solutions with long-term business impact.
  • Leadership capabilities, including coaching, mentoring, and developing peers.
  • Excellent time management and independent problem-solving skills, with a self-motivated and driven work ethic.
  • Ambitious, collaborative team player with a Bachelor's degree or higher in Computer Science, Information Systems, or a related field (or demonstrated equivalent ability).
  • 1-5 years of experience in data engineering or a technical role within data environments.

    • It doesn't hurt if you also have:

  • Redshift experience is a plus
  • Experience with Infrastructure as Code development – Terraform is a plus

    • What we offer:

  • Salary in USD
  • Flexible schedule (within US Time zones)
  • 100% Remote

    • Additional Information

    Ready to learn more? Apply below!

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