8 дней назад
Senior Data Engineer
11 500 - 144 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (GCP/Python/SQL): Building and maintaining scalable data infrastructure and batch and real-time pipelines for analytics, machine learning, and decision intelligence with an accent on data modeling, governance, and pipeline reliability. Focus on designing cloud-native data solutions, optimizing ETL/ELT workflows, automating CI/CD and quality controls, and supporting reproducible machine learning environments.
Location: Minneapolis headquarters; four days per week in-office and one day working from home. Must be eligible to work in the U.S.
Salary: $115,00–$144,000 annually, with potential additional compensation through commission and/or an incentive program.
Company
provides commercial real estate solutions across the United States through 16 offices and has more than 88 years of experience.
What you will do
- Architect, build, and maintain scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, and Cloud Storage.
- Design dimensional data models, star schemas, and data warehousing solutions for business intelligence and analytics.
- Develop and orchestrate batch and real-time ETL/ELT workflows with Cloud Composer or Apache Airflow using Python and SQL.
- Monitor, troubleshoot, and optimize pipeline performance, data quality, and data integration workflows.
- Build CI/CD automation and reproducible data environments that support machine learning model deployment and monitoring.
- Lead data solution implementation, collaborate with architects and analysts, and mentor other data engineers.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
- 5+ years of professional experience in data engineering or a similar role.
- Strong programming skills in Python and SQL, with experience using Cloud Composer or similar tools.
- Experience designing and maintaining data pipelines on GCP, AWS, Azure, or comparable platforms.
- Experience with data quality, validation, testing, governance, and secure data handling.
- Eligibility to work in the U.S. is required.
Nice to have
- Cloud-native data infrastructure experience, preferably with GCP and exposure to AWS.
- Familiarity with MLOps or production machine learning pipelines.
- Exposure to domain-driven architecture.
- Strong cross-functional collaboration and communication skills.
Culture & Benefits
- Medical, dental, and vision benefits.
- Retirement and savings benefits, flexible spending and health savings accounts.
- Life insurance, short- and long-term disability coverage, and paid time off.
- Educational assistance, parenting benefits, employee discounts, and pet insurance.
- Employee assistance, wellness programs, charitable matching funds, and paid volunteer time.
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