What are the responsibilities and job description for the Lead Data Pipeline Engineer position at Precision Solutions?
Overview
Lead Data Pipeline Engineer
Hybrid | Crystal City, VA/Pentagon | 3 Days a week Onsite
Interim Top Secret
Summary
Our client provides leading edge cybersecurity services that improve security, promote innovation, and transform cybersecurity for government and commercial customers. Our client is on the front lines of the cyber landscape, specializing in unique cybersecurity solutions, infrastructure support, and end user support. They also remain committed to their clients’ success and ensure that their initiatives are properly aligned with their core mission.
Our client works closely with their partners and clients to understand their needs and ensure their short and long term targets are met or exceeded. Their expert team works to design and execute progressive, innovative solutions that are helping our clients modernize their infrastructure and stay ahead of the constantly evolving thread landscape.
They also believe in hiring smart people then giving them space to thrive. Staying ahead of the pack requires not just economic vigilance but ambitious business goals and a purposeful, cohesive workforce. Our client is able to attract and retain their professionals by consistently creating an environment based on trust, fairness and opportunity. Additionally, they believe in establishing open communication that encourages achievable performance expectations. With also incorporating collaboration within their organization, it creates a positive energy and true ownership in providing services that are essential to deliver results of the highest quality.
Responsibilities
Our client is seeking a Lead Data Pipeline Engineer to design and implement data pipelines for their data analytics platform. The ideal candidate will have a strong background in building scalable and robust data pipelines, as well as experience leading a team of data engineers.
- Lead the design and implementation of scalable and robust data pipelines
- Collaborate with data scientists and analysts to understand data needs and requirements
- Work closely with other engineers to ensure data quality and consistency across the platform
- Manage and mentor a team of data engineers, providing technical guidance and support
- Develop and maintain documentation for data pipelines and processes
- Stay up-to-date with the latest technologies and best practices in data pipeline engineering
- Ensure data security and compliance with relevant regulations
Requirements
- 7 years of experience in data pipeline engineering
- Strong knowledge of big data technologies such as Hadoop, Spark, and Kafka
- Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud
- Expertise in Python, Java, or Scala
- Experience leading a team of data engineers
- Excellent problem-solving and analytical skills
- Strong communication and interpersonal skills
Preferred Requirements
- A Bachelor's degree in Computer Science, Information Systems, or a related field is preferred.
Education Requirements
- None.
Clearance Requirements
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; an Interim Top Secret clearance is required.
