5 дней назад
Senior Data Engineer (Databricks)
155 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Databricks): Building enterprise-grade ETL/ELT pipelines, data models, warehouses, and lakehouse environments with an accent on Python, SQL, Azure, and Databricks. Focus on transforming large-scale data, implementing governance and quality controls, and optimizing secure, scalable data infrastructure.
Location: Hybrid work in Atlanta, Georgia, or Washington, DC; on-site support is required. Preference is given to candidates located in Atlanta or with prior CDC experience. U.S. citizenship or a Green Card is required, and the ability to obtain Public Trust is mandatory.
Salary: $155,000 per year
Company
delivers outsourced services and workforce solutions across North America.
What you will do
- Design, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL.
- Build and optimize data models, warehouses, and Databricks lakehouse environments.
- Ingest, clean, validate, and transform large-scale data from APIs, flat files, relational sources, and unstructured systems.
- Implement data quality, metadata management, governance, security, and compliance controls.
- Deploy, monitor, troubleshoot, and improve Azure data solutions using logging, alerting, and CI/CD practices.
- Document data architecture, pipeline logic, and operational procedures while collaborating with data scientists, operational leaders, and infrastructure architects.
Requirements
- 8+ years of experience in data engineering, software engineering, or database architecture.
- 6+ years of experience with Python and SQL, including scalable ETL/ELT pipelines.
- Experience with Azure data ecosystems such as Azure Data Factory and modern processing frameworks such as Databricks.
- Knowledge of relational and NoSQL databases, data modeling, schema design, governance, security, and compliance.
- Bachelor’s degree in computer science, engineering, information systems, or a related quantitative field.
- Must be able to work on-site in Atlanta or Washington, DC, be a U.S. Citizen or Green Card holder, and obtain Public Trust.
Nice to have
- Experience supporting data engineering initiatives in government-related environments.
- Experience collaborating with data scientists and analysts on evolving data models.
- Knowledge of IT infrastructure practices, data access methodologies, advanced security practices, governance policies, and compliance frameworks.
- Azure Data Engineer Associate certification.
Culture & Benefits
- Direct-hire W-2 employment.
- Medical, dental, and vision coverage options.
- Spending accounts, life insurance, and voluntary benefit plans.
- Participation in a 401(k) plan.
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