Blackpoint Cyber
Data Engineer - Hybrid/Remote
Blackpoint Cyber, Florham Park, New Jersey, us, 07932
Company Overview:Managed Health Care Associates, Inc. (MHA) is a leading health care services and technology company that offers a growing portfolio of services and solutions to support the diverse and complex needs of the alternate site health care provider. MHA provides expertise in Group Purchasing, Managed Care and Payer Contracting, Reimbursement Management, Specialty Pharmacy Solutions, Pharmaceutical Data Analytics, Consultant Pharmacy Software and Legislative Advocacy. Through the delivery of innovative health care services and solutions, MHA helps members increase operational efficiency, maximize business growth and provide optimum care for their patients.Founded in 1989, MHA was purchased by Roper Technologies, Inc. in mid-2013. Roper Technologies is a constituent of the S&P 500, Fortune 1000, and the Russell 1000 indices. Roper designs and develops software (both software-as-a-service and licensed), and engineered products and solutions for healthcare, transportation, food, energy, water, education, and academic research markets worldwide. To learn more please visit www.mhainc.com
Job Purpose:The Data Engineer is critical to design, develop, and maintain the infrastructure and systems necessary for the collection, storage, processing, and analysis of large volumes of data. The Data Engineer will play a critical role in enabling the organization to make data-driven decisions and derive valuable insights from their data assets, including Data Pipeline development, Data Modeling and Architecture. The Data Engineer will support our software developers, database architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The Data Engineer will play a crucial role in the development and support of cloud database systems for our new customer platform. You will collaborate with cross-functional teams using the Agile methodology and Azure Cloud to create modern software applications, implement new technologies, and deliver end-to-end solutions utilizing DevOps and engineering practices.Essential Duties & Responsibilities:Expertise in designing, building, and maintaining scalable data pipelines and ETL (Extract, Transform, Load) processes.Experience with data modeling and database design principles.Knowledge of data warehousing concepts and tools.Understanding of data governance, data quality, and data integration techniques.Proficiency in Microsoft Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake, etc.Proficiency in data visualization tools like Power BI, Sisense.Experience with managing and optimizing cloud-based data storage and processing solutions.Knowledge of Azure DevOps for CI/CD (Continuous Integration/Continuous Deployment).Understanding of cloud security and compliance principles.Familiarity with data integration tools (e.g., Apache Kafka, Apache Nifi).Understanding of machine learning concepts and experience with ML platforms like Azure Machine Learning or TensorFlow.Minimum Qualifications & Competencies:A bachelor's or master's degree in computer science, data science, or a related field.Strong programming skills, particularly in languages like Python, Java, or Scala.Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).Familiarity with distributed computing frameworks, such as Apache Hadoop and Apache Spark.Experience with version control systems like Git.Knowledge of software engineering principles and best practices.Strong problem-solving skills and the ability to work independently and in a team environment.Effective communication skills to collaborate with stakeholders, data scientists, and other teams.Attention to detail and ability to prioritize tasks in a fast-paced environment.Continuous learning mindset to keep up with the evolving data engineering landscape.Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
#J-18808-Ljbffr
Job Purpose:The Data Engineer is critical to design, develop, and maintain the infrastructure and systems necessary for the collection, storage, processing, and analysis of large volumes of data. The Data Engineer will play a critical role in enabling the organization to make data-driven decisions and derive valuable insights from their data assets, including Data Pipeline development, Data Modeling and Architecture. The Data Engineer will support our software developers, database architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The Data Engineer will play a crucial role in the development and support of cloud database systems for our new customer platform. You will collaborate with cross-functional teams using the Agile methodology and Azure Cloud to create modern software applications, implement new technologies, and deliver end-to-end solutions utilizing DevOps and engineering practices.Essential Duties & Responsibilities:Expertise in designing, building, and maintaining scalable data pipelines and ETL (Extract, Transform, Load) processes.Experience with data modeling and database design principles.Knowledge of data warehousing concepts and tools.Understanding of data governance, data quality, and data integration techniques.Proficiency in Microsoft Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake, etc.Proficiency in data visualization tools like Power BI, Sisense.Experience with managing and optimizing cloud-based data storage and processing solutions.Knowledge of Azure DevOps for CI/CD (Continuous Integration/Continuous Deployment).Understanding of cloud security and compliance principles.Familiarity with data integration tools (e.g., Apache Kafka, Apache Nifi).Understanding of machine learning concepts and experience with ML platforms like Azure Machine Learning or TensorFlow.Minimum Qualifications & Competencies:A bachelor's or master's degree in computer science, data science, or a related field.Strong programming skills, particularly in languages like Python, Java, or Scala.Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).Familiarity with distributed computing frameworks, such as Apache Hadoop and Apache Spark.Experience with version control systems like Git.Knowledge of software engineering principles and best practices.Strong problem-solving skills and the ability to work independently and in a team environment.Effective communication skills to collaborate with stakeholders, data scientists, and other teams.Attention to detail and ability to prioritize tasks in a fast-paced environment.Continuous learning mindset to keep up with the evolving data engineering landscape.Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
#J-18808-Ljbffr