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Data Engineer

Boston, MA | Contractor

Job Description

This is a remote 3-month part-time contract position that could become permanent. Work week is 7 hrs per day - 35 hrs per week.

Our client is a Higher Ed institution in Boston and is a joint center for health systems innovation at a local hospital and the institution. The goal is to drive scalable solutions for better care at critical moments in people’s lives everywhere. Better care means better health outcomes, lower costs, and more actual caring. Critical means solving health systems failures that have major impact, typically touching people by the millions. They currently have research programs in the areas of childbirth, surgery, palliative care, and primary health care. Under the supervision of the Platform Manager, Computer Science the Data Engineer is responsible for helping support the entire product line for client and its programs. A primary focus of this role will be development of a scalable data architecture, reusable data pipelines and development and support of analytical reports for end users, but it is expected that the individual will contribute across the tech stack - UI, backend and the cloud infrastructure. This is an excellent opportunity for the individual to learn and develop new skills in data architecture, architecting scalable applications , platform development, electronic medical data, mobile deployments, analytics, and healthcare technologies. As part of the client's matrix structure, the Data Engineer will sit on the Computer Sciences team within the Science & Technology platform and will work with research teams in a variety of health domains such as surgical safety, palliative care, safe childbirth, and primary healthcare. 

Responsibilities include:

 ● Work collaboratively with Science and Technology and project teams to design and build scalable, resilient and distributed applications. ● Develop and maintain scalable data architecture. ● Implement and maintain data quality and integrity across programs. ● Develop and maintain reporting and ETL environments and support the needs of end-user analysts ● Provide constructive feedback on data architecture design and data model decisions ● Design and implement RESTful APIs and internal tools. ● Implement high quality and reusable UI components from UI/UX designs ● Take part in monitoring and benchmarking of test and production systems. ● Provide foresight while planning sprints and product roadmap 

Required qualifications are:

● 4 years of professional experience building products with focus on data (SQL or NoSQL) and advanced knowledge of SQL. ● Professional experience in one or more programming languages- Python, JavaScript, Java,C#,Go,. ● Experience in both Object oriented and functional paradigms. ● Professional experience using both relational databases (SQL) and NoSQL data stores. ● Ability to pitch in on various database-related tasks, depending on need. ● Solid understanding of data modeling techniques. ● Competency in working within Linux environments. ● Background in computer science or related field preferred. Preferred qualifications ● Experience with Reporting/ETL tools. ● Experience creating products that use one or more AWS services. ● Understanding of best practices in networking and security. ● Familiarity with Linux containers and virtual machines is a plus. ● Familiarity with scripting languages (bash/python/ruby) is helpful. ● Demonstrated curiosity about the data and the business processes ● Understanding of research and/or healthcare domain ● Experience working in a matrix organization/environment 

About Millennial Tech:

At Millennial Tech, we match great people with great companies. We provide recruitment and career placement services in many areas, including project management, business analysis, software development, and business intelligence. Our process is to get to know the role and the company's culture to select the best fit and solution for the organization. Please visit our site to get to learn more about us.

Skills for Data Engineer

The job skills required for Data Engineer include SQL, Python, ETL, AWS, Computer science,and Data Modeling etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.

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Career Path for Data Engineer

The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

How to Become a Data Engineer

If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1 Understand the job description and responsibilities of a Data Engineer

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Step 2 Knowing the best tips for becoming a Data Engineer can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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