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$70,000 - $200,000+ USD
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Programming Proficiency
Database Management
Big Data Tools
Data Pipeline Development
Cloud Platforms
Data Security Knowledge
Analytical Thinking
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The Data Engineer plays a critical role in designing, building, and maintaining the data architecture that supports our organization's decision-making processes. This mid-to-senior level position involves developing scalable and efficient data pipelines, managing data storage solutions, and ensuring seamless integration of data across various teams and systems. The role is essential for driving business growth through robust data infrastructure and actionable insights.
The key responsibilities for a Data Engineer include:
- Develop and Maintain Data Pipelines: Design, implement, and optimize robust pipelines to collect, transform, and distribute data across the organization.
- Ensure Data Integrity: Monitor and maintain data accuracy, quality, and security in compliance with organizational standards.
- Collaborate with Stakeholders: Work closely with data scientists, analysts, and cross-functional teams to identify and fulfill data requirements.
- Database Management: Create and manage scalable database systems, ensuring efficient storage and retrieval of large datasets.
- Optimize Data Workflows: Automate data workflows to enhance performance and reduce manual tasks.
- Troubleshoot and Resolve Issues: Identify and resolve any data-related technical issues or bottlenecks.
- Implement Best Practices: Stay updated with industry trends and integrate modern technologies to improve data engineering processes.
Required qualifications include:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in data engineering or a related role.
- Strong technical expertise in data modeling, ETL processes, and database management.
- Exceptional organizational skills and attention to detail.
These are the core skills, experience, and qualifications that a candidate must possess to be eligible for the role:
Essential Skills
- Programming Proficiency: Strong experience with programming languages such as Python, Java, or Scala.
- Database Management: Expertise in SQL and working with relational and non-relational databases.
- Big Data Tools: Hands-on experience with frameworks like Apache Hadoop, Spark, or Kafka.
- Data Pipeline Development: Proficiency in creating ETL (Extract, Transform, Load) processes and data pipelines.
- Cloud Platforms: Familiarity with cloud services such as AWS, Azure, or Google Cloud.
- Data Security Knowledge: Understanding of data privacy regulations and implementing secure data practices.
- Analytical Thinking: Ability to troubleshoot and optimize workflows for efficient data processing.
These skills enhance a candidate’s profile and are valuable for comparing the relative strengths of applicants:
Desirable Skills
- Data Visualization Tools: Experience with Tableau, Power BI, or similar tools to help present data insights.
- Machine Learning Integration: Knowledge of integrating machine learning models into data systems.
- DevOps Practices: Familiarity with CI/CD pipelines and infrastructure as code tools like Terraform or Docker.
- Soft Skills: Strong communication and teamwork skills to collaborate with cross-functional teams.
- Certifications: Industry certifications like Google Professional Data Engineer or AWS Certified Data Analytics – Specialty.
What You’ll Love About Working Here
- This section is an opportunity to introduce yourself.
- It should summarize the organization, its core values, benefits mission, and vision.
For example, here is our bio which can be found on the About Us page on our website:
Playroll's vision is to accelerate a borderless economy, enabling people to thrive globally. Our mission focuses on managing the complexities of a global workforce through a single platform, removing barriers for both employees and employers to unlock worldwide opportunities.
Ready to Apply? Get in Touch
- Finish the advertisement with a call to action. If you have any benefits, it would be best to highlight them here.
- A strong call to action (CTA) in a job description encourages potential candidates to take the next step and apply.
Increase your scale, not your operating costs, with Playroll’s Global Employer of Record Services
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Reduce costs with a budget-friendly EOR option.
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Access competitive Data Engineer and federal employee benefits for a stronger team.
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Hire employees without entity setup.
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