Azure Security Engineer

A client of OpenKyber is immediately hiring for a Data Engineer Position type: Full-time, contract Duration: 12 months Location: Pittsburgh, Pennsylvania 15203

About the Role: We"re looking for a Data Engineer to join our rapidly growing AI & Digital Innovation team and help shape the future of manufacturing through cutting-edge technology, scalable data platforms, and intelligent applications. In this role, you"ll be at the heart of our data ecosystem, designing robust data pipelines, building high-performance APIs, and enabling AI-powered insights that drive critical business decisions. You"ll collaborate with data scientists, analysts, and software engineers to transform complex data into powerful solutions that fuel innovation and operational excellence.

What You"ll Bring Must-Have Skills & Experience

• 3+ years of hands-on Python development experience
• 3+ years of experience working with PySpark and Pandas for large-scale data processing and analytics
• Proven experience designing, developing, and maintaining scalable data pipelines
• Strong expertise in designing and developing RESTful APIs and data services
• 3+ years of advanced SQL experience, preferably with Oracle (experience with any major relational database is welcome)

Nice to Have

• Experience working with cloud platforms such as OCI, Azure, AWS, Google Cloud Platform , or similar environments
• Familiarity with Linux-based systems and environments
• Knowledge of the Hadoop ecosystem and distributed data-processing frameworks
• Experience with Databricks and modern data engineering tools

What You"ll Do

• Build the Foundation for Data-Driven Innovation Architect and develop scalable, reliable, and high-performing data pipelines that support analytics, AI, and operational workloads.
• Create and maintain RESTful APIs and data services that empower teams with seamless access to trusted data.
• Process and transform large-scale datasets using PySpark, Pandas, and Databricks.
• Partner closely with Data Scientists, AI Engineers, Analysts, and Product Teams to deliver impactful data solutions.
• Ensure data quality, integrity, governance, and security across all systems and applications.
• Document architectures, workflows, and best practices to promote collaboration and knowledge sharing.

Why Join Us This is more than a Data Engineering role. It"s an opportunity to work at the intersection of AI, data, and manufacturing transformation, solving complex challenges and building technology that creates measurable business impact. You"ll be part of a collaborative team that values innovation, continuous learning, and the power of data to drive the future. If you"re excited about building scalable data solutions and enabling AI at scale, we"d love to hear from you.

Qualified candidates should APPLY NOW for immediate consideration! This position is only open to applicants who can be engaged on a W-2 basis. Please hit APPLY to provide the required information, and we will be back in touch as soon as possible. We are currently interviewing to fill this and other similar positions.

If this role is not a fit for you, we do offer a referral bonus program for referrals that we successfully place with our clients, subject to program guidelines. ASK ME HOW. Thank you! OpenKyber

PAY RANGE AND BENEFITS: Pay Range*: $40.00 - $43.95 per hour *Pay range offered to a successful candidate will be based on several factors, including the candidate"s education, work experience, work location, specific job duties, certifications, etc. Benefits: OpenKyber offers benefits( based on eligibility) that include the following: Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term Disability, Accident & Critical illness coverage, Pre-paid legal & ID theft protection, Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP).

For applications and inquiries, contact:View email address on us.fitly.work