Data Engineering Manager
United States
Bixal
A mission-driven organization determined to improve people’s lives through human-centered strategies and transformative technologies. We deliver on this promise by partnering with leading federal agencies to conceive and create powerful...LocationThis role has the ability to work remotely within the United States. You must be legally authorized to work in the USA. Bixal does not provide visa sponsorship.
What will you do?We are looking for an experienced Data Engineering Manager to join our growing team of experts. Bixal builds and maintains the foundational systems that support data scientists, analysts, researchers and policy makers at Federal agencies. Our teams are responsible for the architecture, deployment and maintenance of core infrastructure components in the cloud. We strive to build automated, resilient, scalable and secure systems to help enable users to do their best work with minimal disruptions.
The Data Engineering Manager will lead systems architects, database architects and data analysts on complex projects and programs. They will supervise medium to large teams, focusing priorities and ensuring progress along an agreed project roadmap. The Data Engineering Manager will be responsible for maintaining strategic alignment of technical design and architecture to meet business growth and directions. They must have a thorough understanding of the unique needs of foreign assistance data programs. They will be highly capable at managing technical teams as well as maintaining excellent customer communication. They must be self-directed and comfortable collecting requirements from multiple teams and systems, as well as coordinating the progress of multiple teams toward desired outcomes. This role will positively impact millions of people by infusing their knowledge into foreign assistance data processes. The ideal candidate is an experienced engineer who enjoys optimizing data systems, while understanding the flow from ingestion points to delivery to various statistical and analytics packages.
Important noteThis is a full-time proposal position contingent on contract award.
Responsibilities
- Serve as a primary technical point of contact for a medium to large data program.
- Oversee the implementation of transformational cloud enhancements, in collaboration with multi-contractor teams.
- Research and experiment with new technologies and implement them to help improve systems and processes.
- Supervise the maintenance of existing infrastructure for production servers, data analysis pipelines, and analytics tool sets.
- Implement production and testing infrastructure using infrastructure as code.
- Evaluate existing CI/CD pipelines and improve their scalability, stability, security, and efficiency.
- Help improve builds and deployments to move away from custom tools towards industry standard tooling and technologies.
- Continuously monitor all aspects of technical contract activities and recommend adjustments when necessary.
- Architect overall systems using prototyping and proof of concepts.
- Collect requirements to create and maintain optimal data pipeline architectures.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Supervise the building of infrastructure required for optimal ELT of data from a wide variety of data sources using SQL and ‘big data’ technologies.
- Communicate with a wide range of digital delivery disciplines and talent.
- Work with data and analytics experts to strive for greater functionality in data systems.
Qualifications
- Ability to undergo a background investigation by the U.S. Government and meet eligibility requirements for suitability.
- Experience working for an organization related to supporting international development and humanitarian assistance programs.
- Experience leading cross-functional teams in a dynamic environment, fostering mutual understanding, and presenting findings to a variety of audiences.
- Knowledge of automated configuration management, continuous integration/deployment, and continuous monitoring solutions.
- Ability to evaluate complex data and computer systems to find inefficiencies, analyze, weaknesses, or security threats.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Proficient at working with a team to build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Experience with AWS including EMR, EC2, RDS, ELB, and Lambda.
- Experience with infrastructure as code technologies such as Cloud Formation or Terraform.
- Experience with CI/CD automation technologies such as Github Actions, Jenkins, GitLab, AWS CodeBuild or similar.
- Demonstrated ability to troubleshoot and resolve build and deployment failures in CI/CD pipelines.
- Experience with scripting languages such as Bash, Python/Boto3, Groovy or similar.
- Proven communication skills and strong situational awareness of large programs.
- We are looking for a candidate with a graduate degree in a technology field and 10+ years of experience in a combination of Data Engineer, Cloud Engineer, or Cybersecurity Engineer roles, or a commensurate combination of education and experience.
Nice to haves
- Project management professional (PMP) certification or similar.
- Experience managing projects with a global reach.
Bixal is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Big Data CI/CD Data analysis EC2 ELT Engineering GitHub GitLab Lambda Pipelines Prototyping Python Research Security SQL Statistics Terraform Testing
Perks/benefits: Career development Health care Team events
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