3 дня назад
Junior Data Engineer (Python)
85 000 - 93 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Junior Data Engineer (Python): Building and maintaining secure data pipelines, ETL/ELT workflows, and reliable datasets from APIs, databases, files, and other sources with an accent on data quality, documentation, and cloud-based modernization. Focus on validating and monitoring data, troubleshooting pipeline issues, supporting releases, and developing engineering practices under the guidance of senior engineers.
Location: Hybrid in Wakefield, Massachusetts, United States; in-office one day per week, with additional in-person trainings and workshops as needed.
Salary: $85,000–$93,000 per year. Compensation is calibrated to geographic location and may vary based on where you live.
Company
provides employee benefits, retirement plans, insurance, reimbursement accounts, and financial planning solutions to nearly 5,000 clients across the United States.
What you will do
- Build, maintain, and enhance batch data pipelines and ETL/ELT workflows.
- Write SQL and scripts to extract, transform, validate, and load data from APIs, databases, files, and other sources.
- Design and maintain datasets, tables, views, and data models for applications, reporting, and analytics.
- Implement data quality checks, reconciliation, logging, and monitoring.
- Troubleshoot pipeline issues, support releases, backfills, and reprocessing, and document changes.
- Help modernize legacy data processes with secure, automated, cloud-based solutions and contribute to code reviews, testing, build pipelines, and runbooks.
Requirements
- Entry-level experience through academic work, internships, projects, or professional experience with SQL, Python, databases, data analysis, or software development.
- Working knowledge of SQL, relational databases, data modeling, and ETL/ELT patterns.
- Familiarity with CSV, JSON, REST APIs, version control, pull requests, automated testing, and deployment pipelines.
- Foundational knowledge of AWS or another cloud platform, including storage, compute, and access control.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a related field, or equivalent experience.
- Must be authorized to work in the United States without current or future sponsorship and able to work in a hybrid environment with one office day per week.
Nice to have
- Experience with Git, build pipelines, authentication, or frontend testing.
Culture & Benefits
- Collaborative environment with guidance from experienced engineers, analysts, and business partners.
- Paid time off, flexible time off after two years, 12 paid holidays, community volunteer days, and summer half days.
- Medical, dental, vision, life, short-term disability, and long-term disability insurance.
- Retirement plan with a 4% employer match and parental leave.
- Inclusive workplace supporting diverse experiences, backgrounds, and perspectives.
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