Job description

DATA Engineer

Springfield MA 01105
  • Bilingual Candidates Encouraged To Apply
  • EOE M/F/D/V

  • Port existing data pipelines and make data available to an internal data fabric.
  • Build new data acquisition and transformation pipelines using big data and cloud technologies.
  • Work with the broader technology team, including information technology, information systems, and 3rd parties to align pipelines.
  • Use Azure Data Factory to move/transform data.
  • Contribute to data quality framework.
  • Contribute to proof-of-concept efforts in Advanced Data Analytics
  • Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
  • Participate in establishing system documentation standards and QA methodologies.
  • Report Writing

  • BS in Computer Science or Engineering with at least 4 years of professional software work experience
  • Deep understanding of REST, good API design, and OOP principles
  • Experience with object-oriented/object function scripting languages: Python, R, PHP etc. In-depth knowledge of Structured Query Language (SQL), including advanced SQL coding, relational database design, data warehousing
  • Strong collaboration and teamwork skills with excellent written and verbal communications skills
  • Self-starter and motivated with the ability to work in a fast-paced software development environment
  • Proficiency in the development environment, including IDE, database server, GIT, Continuous Integration.
  • Basic understanding on software development programming languages like Java, Oracle PL/SQL.

Knowledge, Skills, And Abilities
  • High School Diploma or equivalent required; college degree preferred.
  • A minimum of 4 years of relevant work experience in data engineering, business intelligence, or a related field.
  • Solid grasp of data warehouse concepts and terminology.
  • Proficient in SQL. Experience with Python preferred.
  • Experience with the Microsoft Data/BI Stack (MS SQL, SSIS, SSRS, Power BI).
  • Experience with Azure
  • Experience with major ERP and Business Intelligence systems (Power BI and Cognos are a strong plus).

  • Retirement Plan 403(b) Employer Match
  • Health, Dental, Vision, and Life Insurance
  • Paid vacations
  • Paid holidays
  • 8 discretionary days a year
  • Hiring Incentives**
  • Mileage reimbursement
  • Wellness incentive

The Gandara Mental Health Center provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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