Job Description
As a Data Engineer, you will work independently or as part of a team to deliver cloud-based technology solutions across products, projects, and strategic initiatives. You will collaborate with internal and external stakeholders to design and implement features, partnering with technical teams across the organization to ensure successful delivery. This role also involves close coordination with tech leads, architects, and managers.
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Key Responsibilities
• Partner with Scrum Masters, Product Owners, and other stakeholders to define and implement new features for digital products.
• Own the maintenance and security of existing solutions, platforms, and frameworks; design new ones and recommend upgrades or fixes.
• Troubleshoot production issues of varying complexity and severity, managing resolution from identification through completion.
• Foster a culture of open communication, collaboration, and mutual respect.
• Identify risks, inefficiencies, and opportunities in development approaches; propose platform-wide architectural solutions based on data and best practices.
• Evaluate all technical options, including custom development, third-party subsystems, enterprise platforms, and existing components.
• Actively contribute throughout the software development life cycle (SDLC), including requirements analysis, design, coding, testing, release, and technical support.
• Create technical documentation such as system diagrams, design documents, release procedures, and other relevant artifacts.
• Collaborate effectively on cross-functional projects and during production issue resolution.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• Minimum 6 years of hands-on experience with Azure data services (Data Factory, Databricks, ADLS, SQL DB, etc.).
• Bachelor’s degree in Computer Science, Computer Engineering, or a STEM discipline (Science, Technology, Engineering, Math).
• Strong working knowledge of Databricks and Azure Data Factory (ADF).
• Expertise in databases and SQL.
• Familiarity with Agile delivery methodologies.
• Ability to multi-task and reprioritize in a dynamic environment.
• Excellent written and verbal communication skills.
Nice to Have Skills & Experience
• Working knowledge of code management and CI/CD systems (Azure DevOps or GitHub).
• Familiarity with NoSQL databases (e.g., MongoDB).
• Exposure to IoT Data Standards like Project Haystack, Brick Schema, Real Estate Core.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.