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Senior Data Engineer/Architect, ML
Nimbus Data Systems · Posted 23d ago
About the role
Design and build secure, scalable data analytics applications to clarify customer business outcomes.
Salary: $149000 - 149000 per year Requirements: We require a bachelors degree in computer science, engineering, mathematics, or an equivalent background. We need at least 5 years of experience with databases such as SQL, NoSQL, Hadoop, Spark, Kafka, or Kinesis. We require hands-on experience with SQL, Python, schema design, and software engineering best practices, including secure, testable, and maintainable code. We expect an understanding of distributed systems, data integration approaches such as ETL and federation, database tuning methods like partitioning and indexing, and relational performance optimization. We require an active U.S. Government Top Secret security clearance or higher. We require U.S. citizenship and the ability to maintain an active Top Secret clearance. Responsibilities: We help clarify customer business outcomes during discovery and translate them into data architecture and engineering solutions. We design and build secure, scalable, reliable, high-performing, and cost-efficient data analytics applications. We collaborate with stakeholders to gather requirements, evaluate current infrastructure, and recommend data migration and modernization strategies. We identify, reduce, and communicate risks tied to solution and service limitations by making sound technical trade-offs. We act as trusted advisors on industry trends, emerging data technologies, and innovative approaches. We share expertise through mentoring, training, and the creation of reusable assets. Technologies: AWS Cloud ETL Hadoop Kafka Network NoSQL Python SQL Security Spark Lambda CI/CD Data Vault Support Terraform Web More: We are AWS Professional Services, a global team of experts helping customers achieve business outcomes with the AWS Cloud. We partner with customer teams and the AWS Partner Network to deliver enterprise cloud initiatives and specialized guidance across a wide range of solutions, technologies, and industries. This is a customer-facing role based at one of the listed locations or customer sites Monday through Friday, and travel may be required. It is not a remote position. We value diverse backgrounds, work-life balance, an inclusive team culture, mentorship, and career growth. Our compensation package includes sign-on payments and restricted stock units, along with comprehensive benefits such as health insurance, 401(k) matching, paid time off, and parental leave. The role is based in Arlington, VA or Herndon, VA, with a listed annual base salary of USD 153,800. last updated 25 week of 2026
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FAQ
Is the Senior Data Engineer/Architect, ML role at Nimbus Data Systems remote?+
This Senior Data Engineer/Architect, ML position is listed as onsite.
What is the salary for the Senior Data Engineer/Architect, ML role at Nimbus Data Systems?+
The listing states $149000 - 149000.
What seniority level is this Senior Data Engineer/Architect, ML role?+
This is a senior level position.
How do I apply for the Senior Data Engineer/Architect, ML role at Nimbus Data Systems?+
Use the "Apply on devitjobs" button to open the original posting on devitjobs, where you can submit your application directly to Nimbus Data Systems.