Data Engineer
3 weeks ago
Senior Software Engineer
Direct Hire, Permanent Role
Herndon, VA (20171)- 100% onsite
AMAZING BENEFITS - including 100% employer paid healthcare benefits for employee, paid overtime, 401k match, etc
Rate: Up to $190k salary (some flexibility)
Key Responsibilities:
- Architect and Develop: Lead the design, development, and maintenance of complex, scalable data pipelines.
- Optimize and Troubleshoot: Ensure performance, reliability, and scalability of data pipelines.
- Collaborate: Work closely with engineers and analysts to understand data requirements and deliver high-quality data solutions.
- ETL Processes: Implement and manage ETL processes using advanced tools like Apache Airflow, Spark, or similar.
- Data Quality: Ensure data quality and consistency through rigorous testing, validation, and governance practices.
- Cloud Infrastructure: Deploy, monitor, and maintain data infrastructure in cloud environments (AWS, GCP, Azure).
- DevOps Practices: Implement DevOps practices to streamline data workflows, including CI/CD pipelines, Docker, and Kubernetes.
- Mentorship: Mentor and provide guidance to junior data engineers, fostering a culture of continuous improvement and collaboration.
- Innovation: Stay up-to-date with industry trends and emerging technologies to drive innovation within the data engineering team.
Qualifications:
- Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience: 7+ years of experience in data engineering or related roles.
- Technical Skills: Advanced proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
- Big Data Technologies: Extensive experience with big data technologies (e.g., Hadoop, Spark).
- Cloud Platforms: Deep understanding of cloud platforms (AWS, GCP, Azure) and their data services.
- DevOps Expertise: Strong understanding and practical experience with DevOps practices and tools (CI/CD, Docker, Kubernetes).
- Problem-Solving: Proven ability to optimize and troubleshoot complex data systems and pipelines.
- Communication: Excellent problem-solving skills and attention to detail.
- Leadership: Strong communication and leadership abilities, with experience mentoring junior engineers.
Preferred Qualifications:
- NoSQL Databases: Experience with NoSQL databases (e.g., MongoDB).
- Programming Languages: Proficiency in programming languages such as Python, Java, or Kotlin.
- Data Visualization: Experience with data visualization tools (e.g., Tableau, Power BI).
- Data Governance: Strong understanding of data governance and security practices.
- Agile/Scrum: Experience working in Agile/Scrum environments.
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