Data Engineer
Company: Sundayy
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-05-09
About this role
About The Company
Blue Orange Digital is a leading data and AI consulting firm dedicated to transforming complex data into actionable business insights. We collaborate with organizations across various industries to design and implement scalable data infrastructures, advanced analytics, and AI-driven solutions. Our team operates remotely on a global scale, driven by curiosity, innovation, and a commitment to delivering impactful results. We pride ourselves on a builder-led, client-first culture that emphasizes ownership, clear communication, and high-quality deliverables.
About The Role
We are seeking an experienced Data Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying high-performance, scalable data solutions that support our clients' business objectives. You will work closely with cross-functional teams to build modern data platforms, optimize data workflows, and ensure secure, compliant data operations. The ideal candidate will have a strong technical background, hands-on experience with cloud-native data architectures, and a passion for leveraging data to drive strategic decisions. This position offers an exciting opportunity to work on diverse projects across industries such as private equity, financial services, healthcare, and retail, utilizing cutting-edge technologies like Databricks, Snowflake, and the Microsoft ecosystem.
Qualifications
- 5+ years of industry experience as a hands-on Data Engineer or similar role
- Proficiency in Python and SQL; experience with TypeScript, JavaScript, or Java is a plus
- Strong experience with ETL/ELT processes and data modeling for data warehouses and lakehouses
- Familiarity with Medallion Architecture (Bronze, Silver, Gold layers)
- Experience with cloud platforms such as Azure, AWS, or GCP, and data platforms like Snowflake, Databricks, or Fabric
- Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code tools l...