Data Engineer - Hybrid-Home & Office(Parsippany, NJ) - Managed Health Care Associates, Inc.

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

Who we’re looking for:

Data Engineer will be critical to design, develop, and maintain the infrastructure and systems necessary for the collection, storage, processing, and analysis of large volumes of data. Data Engineers play a critical role in enabling organizations to make data-driven decisions and derive valuable insights from their data assets. Data Pipeline development, Data Modeling and Architecture. The Data Engineer will support our software developers, database architects, data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.  Data Engineer will play a crucial role in the development and support of cloud database systems for our new customer platform. Collaborates 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

What You’ll Be Doing:

• 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

What You’ll Bring to the Table:

• 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.

What’s Good to Know:

• No travel needed

• Hybrid environment with work on site on Tue and Wed

Physical Demands:

The physical demands and work environment characteristics described here are representative of those that an employee must meet to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Physical Demands: While performing the duties of this job, the employee is occasionally required to move around the work area; sit; perform manual tasks; operate tools and other office equipment such as computer, computer peripherals and telephones; extend arms; kneel; talk and hear.  The employee must occasionally lift and/or move up to 15 pounds. 
• Mental Demands: The employee must be able to follow directions, to get along with others, and handle stress.
• Work environment:  The noise level in the work environment is usually minimal.

Managed Health Care Associates, Inc. is an Equal Opportunity Employer and ensures its employment decisions comply with principles embodied in Title VII, the Age Discrimination in Employment Act, the Rehabilitation Act of 1973, the Vietnam Veterans Readjustment Assistance Act of 1974, Executive Order 11246, Revised Order Number 4, and applicable state regulations.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Information Systems