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Contractual Derivatives Operations Jobs (NOW HIRING)

CoreWeave

Manager, Treasury Accounting

Dallas, TX · On-site

In addition, you will support the company's hedging programs, including derivative and hedge ... Lead accounting for OEM and vendor financing arrangements, including evaluation of contractual ...

Sempra

General Accounting Senior - Commodity

Houston, TX · On-site

$69K - $86K/yr

... derivative instruments, including analysis of contractual terms, valuation support, settlement ... operations * Contributes to the preparation of financial reports and supporting schedules for ...

Matador Resources

Geophysical Technician

Dallas, TX

... other derivative products to inform operational or business decisions. * Ensure precision of ... Manage contractual obligations and geophysical product sharing externally with vendors or partners

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How much do contractual derivatives operations jobs pay per year?

As of Jul 15, 2026, the average yearly pay for contractual derivatives operations in the United States is $76,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $88,500.00 per year, depending on experience, location, and employer.
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Contractual Derivatives Operations jobs near you

Mid-Level DevOps Engineer - HTS Data Derivation

Dev Technology

Reston, VA • Hybrid

$90K - $130K/yr

Other

Posted 19 days ago

Job description

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 obtaina public trust 

A Role with Purpose and Impact 

We are seeking a Mid-Level DevOps Engineer to supportour federal client, focusedon 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 infrastructure supports delivery milestones as per project requirements 
  • Promote DevOps best practices, including infrastructure-as-code, version control, and automation.  
  • Document systems, architecture, and operational procedures 

Required Qualifications 

  • 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, GitLab CI). 
  • 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 engineering and machine learning pipelines, with an emphasis on reproducibility, lineage, and controlled releases.
  • Demonstrated experience implementing monitoring and evaluation frameworks for LLM-based systems, tracking output quality, operational cost, and latency.

Preferred Qualifications 

  • Experience working with HTS or Trade Data pipelines  
  • Strong Python skills with a focus on data processing, transformation, and pipeline development 
  • Familiarity with workflow management tools (Nextflow, Snakemake, WDL/Cromwell). 
  • Understanding of Trade data formats (CSV, Excel, or JSON formats) 
  • Experience with big data technologies (Spark, Hadoop) or distributed computing. 
  • Knowledge of data storage solutions for large datasets (object storage, distributed file systems). 
  • Experience with HPC schedulers (SLURM, PBS, LSF). 

Our estimated salary range for this position is $90,000-$130,000. This presented salary range is not a guarantee of compensation or salary. Offered salary is based on education, experience, geographic location, and possibly contractual requirements as appropriate to the role. *Salary could fall outside of this range.

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