Description
In today's tech-driven world, advancements like IoT, machine learning, and AI have led to an unprecedented volume of structured and unstructured data. As a data engineer, you understand the power of organizing this data to uncover crucial insights from diverse sources. We are looking for a talented data professional to join our team and help transform big data into actionable insights that drive important missions, from fraud detection to cancer research and national intelligence.
In this role, you will work on high-impact projects, developing and deploying data pipelines and platforms that make complex data meaningful. You will collaborate with a dynamic team of analysts, data engineers, developers, and data users in a fast-paced, agile environment.
Your responsibilities will include designing scalable and robust data platforms while enhancing your skills in analytical exploration to support the development and maintenance of these platforms tailored to meet our clients’ needs.
Key Responsibilities
- Design and develop highly scalable and fault-tolerant streaming data pipelines and applications.
- Collect, transform, and store data streams from diverse sources including databases, sensors, mobile devices, and web applications.
- Build batch data pipelines to complement real-time streaming pipelines.
- Monitor and optimize the performance, stability, and security of data streaming applications.
- Implement processes for failure recovery, high availability, and disaster recovery.
- Collaborate with software engineers, data scientists, and business teams to understand and address streaming data needs.
Qualifications
- 2+ years of experience with programming languages such as C++, Java, or Python.
- 2+ years of experience with messaging protocols like RTMP, MQTT, and AMQP.
- Experience in designing and developing scalable streaming data pipelines and applications.
- Familiarity with collecting, transforming, and storing data from various sources.
- Experience with batch data pipelines and real-time streaming data.
- Skills in monitoring and optimizing data streaming applications.
- Ability to implement processes for high availability and disaster recovery.
- Experience working with cross-functional teams to meet data needs.
- TS / SCI clearance.
- High School diploma or GED.
Preferred Qualifications
- 2+ years of experience with Enterprise or Cloud IT.
- Experience with AWS services such as Amazon Aurora, Amazon RedShift, AWS Lambda, Amazon S3, Amazon Kinesis, and Amazon SQS.
- Experience with Infrastructure as Code (IaC) using AWS CDK or AWS CloudFormation.
- Knowledge of CI/CD workflows in AWS environments.
- Understanding of industry standards like ICD 503, NIST 800-53, and FEDRAMP.
- Strong leadership skills across organizations.
- Excellent verbal and written communication skills.
- TS / SCI clearance with a polygraph.
- AWS Certifications, including AWS Certified Solutions Architect - Associate or Professional, AWS Certified Data Analytics - Specialty, and AWS Certified Database.
Compensation
We value your contributions and offer a comprehensive benefits package, including health, life, disability, financial, and retirement benefits, along with paid leave, professional development, tuition assistance, work-life programs, and dependent care. Full-time and part-time employees working at least 20 hours a week are eligible for our benefits programs.
Salary is based on various factors such as location, education, skills, and experience, with an expected salary range for this position being \(60,400 to \)137,000 per year.
Work Model
We prioritize flexibility and collaboration, whether in-person or remote. If this position is listed as remote or hybrid, you will work from a designated site as needed.
Equal Opportunity Employer
We are an equal employment opportunity and affirmative action employer, committed to driving change regardless of race, color, ethnicity, religion, sex, national origin, age, marital status, sexual orientation, gender identity, disability, veteran status, or any other protected status.
Employment Type: Full-Time