Data Engineer at Mercy in Remote
SUMMARY The Data Engineer will work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from the organization's connected data, enabling the organization to advance the data-driven decision-making capabilities of the organization's enterprise. This role requires deep understanding of data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. Remote/work from home - eastern time zone hours ESSENTIAL JOB FUNCTIONS Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals Solve complex data problems to deliver insights that helps our ministry achieve our goals Understands modeling process, major groups of algorithmic techniques, and model testing techniques Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Understand platforms available and how they are used (e.g., Azure, Hadoop, Bluemix ) Perform tasks related to data ETL, data structuring and cleaning, and data pipeline creation Understand rules on data, privacy and security, and can ensure quality of data Integrate data from multiple sources QUALIFICATIONS Bachelors Degree required Masters / PhD in Computer Science, Management Information Systems, Engineeringpreferred 1 year of experience working in data engineering or architecture rolerequired 3
years of experience working in data engineering or architecture rolepreferred ADDITIONAL SKILLS REQUIRED SQL and data analysis Attention to detail Programming (Python or Scala preferred) Critical thinking Development in cloud computing services Relationship building Building data pipelines Ability to work with technical and non-technical stakeholders Database development experience using Hadoop or BigQuery Requirements translation Data warehouse maintenance Agile work process Work with BI tools (e.g., Tableau, PowerBI) Desire to learn Familiarity with machine learning Intellectually curious Data governance Work with structured and unstructured data
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Database AdministrationEstimated Salary: $20 to $28 per hour based on qualifications.
years of experience working in data engineering or architecture rolepreferred ADDITIONAL SKILLS REQUIRED SQL and data analysis Attention to detail Programming (Python or Scala preferred) Critical thinking Development in cloud computing services Relationship building Building data pipelines Ability to work with technical and non-technical stakeholders Database development experience using Hadoop or BigQuery Requirements translation Data warehouse maintenance Agile work process Work with BI tools (e.g., Tableau, PowerBI) Desire to learn Familiarity with machine learning Intellectually curious Data governance Work with structured and unstructured data
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Database AdministrationEstimated Salary: $20 to $28 per hour based on qualifications.
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