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Data Engineer Azure Data Platforms & Data ModelingNisum Technologies IncUnited States

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Data Engineer Azure Data Platforms & Data Modeling

Nisum Technologies Inc
  • US
    United States
  • US
    United States

About

What You Know Design, develop, and maintain scalable, high-performance data pipelines across Azure cloud platforms. Build and orchestrate ETL/ELT workflows using Azure Data Factory (ADF). Develop enterprise-grade data models (dimensional, relational, lakehouse) to support analytics and reporting needs. Implement and optimize data processing solutions using Azure Databricks and distributed computing frameworks. Support AI/ML initiatives by enabling curated datasets and workflow integration using Azure Machine Learning pipelines. Collaborate with data scientists, analysts, architects, and business stakeholders to deliver trusted data products. Ensure best practices in data governance, security, quality, and compliance across platforms. Monitor and optimize pipeline reliability, performance, and cost efficiency in production environments. Contribute to CI/CD automation and operational excellence for enterprise data workflows. Important attributes for this role
Strong data modeling mindset (enterprise, analytics, and lakehouse architectures) Ownership of end-to-end data architecture and delivery Ability to work cross-functionally with technical and business teams Clear communication and stakeholder alignment Strong decision-making in platform and architecture design Enterprise focus on reliability, security, and scalability What You'll Do
8-10 years of experience in Data Engineering, Data Platform Engineering, or related roles. Strong experience building cloud-scale data solutions in the Microsoft Azure ecosystem. Hands-on expertise with Azure Data Factory for orchestration and automation. Experience with Azure Databricks for large-scale data transformation and processing. Strong proficiency in SQL and Python for data engineering workflows. Experience working with Azure Data Lake Storage (ADLS) and modern lakehouse architectures. Familiarity with Azure Machine Learning pipelines and supporting feature/data workflows for ML teams. Strong understanding of data governance, lineage, and quality frameworks. Experience with Delta Lake and modern lakehouse design. Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure-as-Code. Experience working in large-scale enterprise environments with complex data integration needs. Knowledge of Azure security best practices (RBAC, Key Vault, encryption). Education
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (required). Master's degree is a plus. Benefits:
In addition to competitive salaries and benefits packages, Nisum US offers its employees some unique and fun extras: Professional Development
- We offer in-house technical training and professional learning programs aimed at developing skills across a broad spectrum of topics such as technology, leadership, role-based training, and process expertise. We also offer an annual stipend for employees to attend external courses in order to maintain professional certifications Health & Wellness Benefits
- We believe that your health and welfare are important, and we strive to ensure that you have affordable options available to you, including some plans that are subsidized for employees and their families up to 90%. We also have dental and vision plans in the US where Nisum pays 100% of premiums for employees Volunteerism Pay
- We believe in giving back and in the US, our employees are eligible for up to 40 hours of paid time off each year to volunteer towards the causes that they are most passionate about. This is in addition to personal PTO and paid holidays Additional Benefits
- We offer all the other important benefits to keep employees and their families healthy and financially secure, such as 401(k) retirement savings with a company match, pre-tax parking and transit programs, disability insurance, and Basic Life/AD&D, alongside exclusive employee discounts on a wide variety of products and services.
Compensation:
$140K - $145K per year
  • United States

Languages

  • English
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