Data Engineer for Innovative Data Platforms
6 days ago
We are seeking an experienced Data Engineer to join our team at Progressive IT Resourcing. As a key member of our data engineering organization, you will play a crucial role in designing and implementing scalable, secure, and efficient data platforms that enable business growth and innovation.
About the RoleThis is an exciting opportunity for a motivated and talented Data Engineer to work on cutting-edge projects, collaborate with cross-functional teams, and drive technical excellence in our organization.
Responsibilities- Built configurable data ingestion platforms to collect and protect data from any source within two weeks or less. The team has bought and built to assemble a tool soup of persistent and secure ingestion tools, optimized for cost efficiency, with reliability as a non-negotiable standard. Success will be measured by the consistent achievement of the two-week ingestion target while maintaining high reliability and security.
- Engineered the platform for observability and performance. Made your systems observable from the outside, taking ownership of their performance. Facilitated real-time tracking of the system's internal state through logs, metrics, and traces. Defined clear and measurable Service Level Indicators (SLIs) and Service Level Objectives (SLOs), and integrate these into team OKRs to drive excellence. Success will be measured by meeting or exceeding defined performance and reliability benchmarks, and the quick identification and resolution of issues.
- Engineer the platform with privacy and security by design. Secured the platform through compliance engineering initiatives that reduced the time and cognitive load related to compliance. Implemented our Data Governance and Privacy policies effectively, leveraging encryption, firewalls, VPCs, Role Based Access Control and IAM integrations such as Active Directory. Success will be measured by the platform's adherence to security and privacy standards, with minimal compliance overhead for users.
- Leveraged containerization and infrastructure as code. Implemented containerization strategies and infrastructure as code (IaC) practices to ensure scalable, repeatable, and efficient deployment of data services. Utilized tools like Docker and Terraform to automate infrastructure management and streamline the development pipeline. Success will be measured by the consistency and reliability of deployments, reduced deployment times, and increased system scalability.
- Contributed to technology decisions. Engaged in technology spikes to clarify needs and articulate solution criteria. Evaluated different options through hands-on experimentation, leading to documented evaluations and recommendations that were understood by technology leaders or users across the company. Success will be measured by the quality and clarity of your contributions to technology decisions and the adoption of your recommendations.
- Invested in your own development. Executed on a culture of excellence and continuous improvement for both your part of the platform and your own abilities. Lived our culture of ownership, curiosity, and continuous learning. Participated in pre and post-mortems, sharing lessons learned across the organization along with how you are improving based on those lessons. Success is measured by your active participation in continuous learning initiatives and the tangible improvements in platform performance and personal growth.
- Technical leadership and coaching. Enable a culture of continuous learning and assist other engineers in their development journey.
The ideal candidate will have a strong background in data engineering, experience with cloud technologies, and excellent problem-solving skills. If you are a motivated and talented individual who is passionate about delivering high-quality solutions, we encourage you to apply for this exciting opportunity.
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