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Data Engineer


  • Collaborate with stakeholders to define and understand data needs.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer engagement and experience, operational efficiency, and other key business performance metrics.
  • Develop new, or build against existing APIs, for data access or landing data as output for further downstream consumption in the appropriate target data store.
  • Design and develop efficient data architectures that can support large-scale data processing and storage requirements.
  • Develop and maintain data pipelines, data models, and ETL processes that align with business requirements, data quality standards, and industry best practices.
  • Work closely with other data engineering teams to build and maintain reusable data pipelines and tools, enabling faster time-to-market for data-driven solutions.
  • Monitor, troubleshoot, and optimize data pipelines and processes for performance, reliability, and scalability.
  • Ensure the quality and integrity of various datasets across different platforms and data sources.
  • Continuously evaluate and recommend emerging technologies and methodologies to improve data engineering processes, workflows, and performance.
  • Mentor and guide junior data engineers on technical best practices, code reviews, and design patterns to ensure high-quality, scalable, and maintainable data engineering solutions.
  • Perform special technology-related projects, as assigned.

Qualifications for position:

  • 12+ years of experience in data engineering with a focus on designing and building scalable data platforms using cloud technologies.
  • Experience with data warehousing (Snowflake, Redshift etc.)
  • Expert proficiency in SQL and one or more programming languages such as Python, Java, or Scala.
  • Knowledge of cloud-based data platforms such as AWS, Azure, or GCP, including experience with cloud-based storage, compute, and data processing services.
  • Experience designing and implementing ETL and data integration pipelines, and familiarity with data modeling concepts and database design principles.
  • Experience developing production-grade, large-scale data solutions using cloud technologies.
  • Familiarity with version control systems (e.g., Git) and CI/CD principles.
  • Experience developing dashboards and reports in applications such as Oracle Analytics Server (OAS), Microsoft Power BI, and Google Looker.
  • Thorough experience with data integration tools such as Informatica Intelligent Cloud Services and MuleSoft.
  • Excellent analytical and problem-solving skills, with the ability to understand complex business processes and translate them into technical solutions.
  • Exceptional communication and presentation skills, with the ability to effectively interact with clients at all levels of the organization.
  • Ability to work under tight deadlines across multiple time zones and proactively manage deliverables with minimal supervision.
  • High level collaboration with demonstrated ability working on multiple teams in large or complex environments such as multi time zones and geographies on deadline-driven schedules.


Molaprise is a New York-based information technology consulting and services firm for U.S public sector agencies and Fortune 500 firms. We are strategist, consultants and business technology solutions providers focused on cybersecurity, cloud, advisory, managed services, and implementation.

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Molaprise is an Equal Opportunity Employer. Employment opportunities at Molaprise are based upon one’s qualifications and capabilities to perform the essential functions of a particular job. All employment opportunities are provided without regard to race, religion, sex, pregnancy, childbirth or related medical conditions, national origin, age, veteran status, disability, genetic information, or any other characteristic protected by law.

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