Mid-Level DevOps Engineer - HTS Data Derivation
$90k - $130kDev Technology
Mid-Level DevOps Engineer - HTS Data Derivation HTS Data Derivation • Trade Compliance • Federal Data Modernization Location: Hybrid (Onsite in Reston 2 days a week) Clearance: U.S. Citizenship required; ability to obtain a public trust A Role with Purpose and Impact We are seeking a Mid-Level DevOps Engineer to support our federal client, focused on modernizing the Harmonized Tariff Schedule of the United States (HTS). This role requires building and operating a secure, reliable pipeline to ingest, transform, validate, and deliver complex structured datasets. The senior DevOps engineer will own the infrastructure, automation, and security that make high-volume, high-accuracy data delivery possible, which includes support for LLM-assisted quality validation workflows. As a DevOps Engineer, you will: * Design, build, and maintain CI/CD pipelines that automate ingestion, transformation, and packaging of HTS datasets * Design, implement, and maintain cloud-based infrastructure for data processing in AWS GovCloud. * Work with the architect to manage the cloud infrastructure supporting data processing workloads, document storage, and LLM-based validation tooling. * Support the OCR and PDF extraction pipeline infrastructure for digitizing historical HTS publications. * Build monitoring, alerting, and logging capabilities to track pipeline health, data processing status, and deliverable readiness.
- Implement automated testing and validation for data pipelines.
- Coordinate with trade analysts and the project manager to ensure
- Bachelor’s or master’s degree in computer science or Engineering
- 4+ years of experience in DevOps, SRE, or platform engineering roles.
- Strong experience with cloud platforms (AWS, Azure, or GCP).
- Proficiency in scripting languages such as Python, Bash, or PowerShell.
- Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, Azure DevOps,
- Experience with containers (Docker) and orchestration (Kubernetes).
- Knowledge of infrastructure-as-code (Terraform, Bicep, or similar).
- Hands-on experience designing, operating, and maintaining versioned data
- Experience working with HTS or Trade Data pipelines
- Strong Python skills with a focus on data processing, transformation, and
- Understanding of Trade data formats (CSV, Excel, or JSON formats)
- Experience with big data technologies (Spark, Hadoop) or distributed
- Generous and flexible time-off policy
- Flexible work schedules and telework options, including remote work
- 401K matching with a 5% matching contribution
- Regular team and company social events including our annual party, happy
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