Data Engineer 2 - Remote - Supply Chain Operations - Google Cloud Platform & Big Data

Join the Team: Data Engineer 2 (Remote) at Workwarp

Are you a motivated and skilled Data Engineer looking for a new challenge? Do you want to be part of a dynamic team that values collaboration, innovation, and growth? Look no further! Workwarp is seeking a talented Data Engineer 2 to join our team remotely. As a Data Engineer II, you will play a critical role in supporting our enterprise data warehouse for Supply Chain Operations, working with a team of engineers to build, deploy, and support production applications.

About Workwarp

At Workwarp, we believe in fostering a culture of innovation, collaboration, and continuous learning. Our team is made up of talented individuals from diverse backgrounds, united by a shared passion for technology and data-driven solutions. We offer a dynamic and supportive work environment that encourages growth, creativity, and work-life balance. As a remote team, we leverage technology to stay connected and work together seamlessly, regardless of location.

Position Purpose

The Data Engineer II is responsible for supporting our enterprise data warehouse for Supply Chain Operations. This role involves collaborating with cross-functional teams to design, build, and deploy scalable software solutions. As a Data Engineer II, you will have the opportunity to work with a range of technologies, including Google Cloud Platform, BigQuery, and ETL tools. Your primary focus will be on ensuring the reliability, security, and performance of our data systems, as well as driving innovation and improvement in our data engineering practices.

Key Responsibilities

• Delivery and Execution (60%):
  • Collaborate with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions.
  • Document, review, and ensure that all quality and change control standards are met.
  • Work with Product Team to ensure user stories that are developer-ready, easy to understand, and testable.
  • Write custom code or scripts to automate infrastructure, monitoring services, and test cases.
  • Write custom code or scripts to do destructive testing to ensure adequate resiliency in production.
  • Program configuration/modification and setup activities on large projects using HD-approved methodology.
  • Configure commercial off-the-shelf solutions to align with evolving business needs.
  • Create meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively.
• Learning (20%):
  • Actively seek ways to grow and be challenged using both formal and informal development channels.
  • Learn through successful and failed experiments when tackling new problems.
• Plans and Aligns (20%):
  • Collaborate with other team members in agile processes.
  • Assist in creating new and better ways for the team to be successful.
  • Relate openly and comfortably with diverse groups of people.
  • Build partnerships and work collaboratively with others to meet shared objectives.

Requirements and Qualifications

Essential Qualifications:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• The knowledge, skills, and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
• 2 years of relevant work experience.

Preferred Qualifications:

• 1-3 years of relevant work experience.
• Extensive ETL experience, preferably with a focus on Google Cloud Platform.
• Experience in CI/CD tools.
• Extensive experience working in SQL, with the ability to work with most databases.
• Previous experience working with BigQuery as a Data Warehouse service.
• Hands-on experience in a big data environment.
• Experience in version control systems.
• Familiarity with Data Science principles and practices.
• Knowledge of Dimensional Modeling using relevant tools.

Skills and Competencies

To succeed in this role, you will need to possess the following skills and competencies:

• Technical Skills:
  • Google Cloud Platform (GCP).
  • BigQuery.
  • ETL tools.
  • SQL.
  • CI/CD tools.
  • Version control systems.
• Soft Skills:
  • Collaboration and teamwork.
  • Communication and interpersonal skills.
  • Problem-solving and analytical skills.
  • Adaptability and flexibility.
  • Continuous learning and self-improvement.
• Competencies:
  • Global Perspective.
  • Manages Ambiguity.
  • Nimble Learning.
  • Self-Development.
  • Collaborates.
  • Cultivates Innovation.
  • Situational Adaptability.
  • Communicates Effectively.
  • Drives Results.
  • Interpersonal Savvy.

Career Growth Opportunities and Learning Benefits

At Workwarp, we are committed to the growth and development of our team members. We offer a range of learning opportunities, including:

• Formal training programs.
• Mentorship and coaching.
• Conferences and workshops.
• Online courses and tutorials.
• Cross-functional project opportunities.

Work Environment and Company Culture

Our company culture is built on the principles of collaboration, innovation, and continuous learning. We offer a dynamic and supportive work environment that encourages growth, creativity, and work-life balance. As a remote team, we leverage technology to stay connected and work together seamlessly, regardless of location.

Compensation, Perks, and Benefits

We offer a competitive salary and benefits package, including:

• Competitive salary ($60,000 - $110,000 per year, depending on location and experience).
• Comprehensive health insurance.
• Retirement savings plan.
• Paid time off.
• Flexible work arrangements.

Conclusion

If you are a motivated and skilled Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Data Engineer II at Workwarp, you will have the chance to work with a talented team, drive innovation, and grow your skills and career. Don't miss this opportunity to join our team and take your career to the next level!

Apply Now

Apply Now