Full Stack Data Engineer - Senior
ReleadyCalifornia, United States
Posted October 17, 2025
120000 - 160000 USD year
Full Time
About the Company
Releady is a women‑owned talent solutions firm that delivers end‑to‑end technology, data analytics, and digital marketing services, from cloud infrastructure and cybersecurity to creative development and QA. We partner with organizations to design custom, scalable solutions that drive innovation and measurable results, while our contract, contract‑to‑hire, and direct‑hire models provide flexibility for both clients and professionals. A core strength lies in our diverse, purpose‑driven culture that places people at the center of every engagement, fostering inclusive growth and impactful outcomes. Releady’s commitment to remote work and autonomy empowers employees to thrive personally and professionally while contributing to collective success.
Job Description
This role involves designing, developing, and deploying secure, high-quality software solutions with a focus on integrating security and automation throughout the software development lifecycle. The ideal candidate is a hands-on engineer who thrives in a collaborative environment and is passionate about code quality, automation, and secure cloud development.
Requirements
- Bachelor’s degree in computer science, Information Technology, Management Information Systems, or a related field (or equivalent experience)
- Minimum 5 years of relevant experience in enterprise application support and cloud-based solution delivery
- Strong experience in design, coding, integration, and deployment on Windows and/or Linux platforms
- Expertise in cloud platforms (preferably Azure; AWS/GCP acceptable) and related services
- Proficiency in SQL and Python, with strong scripting/automation skills
- Hands-on experience with modern data stack tools
- Solid knowledge of data modeling, data integration, data architecture, warehousing, and data quality
- Familiarity with CI/CD pipelines and Infrastructure as Code tools
- Familiarity with Collibra for data quality and governance
- Implement testing frameworks and validation processes for data pipelines
- Optimize performance and reliability of data workflows
- Working knowledge of networking/security protocols and API integrations
- Unix/Linux command-line proficiency and shell scripting
- Understanding of Agile methodologies, and enterprise cloud integration
- Excellent communication skills for translating technical deliverables