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Development

Senior Data Engineer, Data Quality & Observability

100% Fully RemoteFull-time$160,000 - $190,000 per yearPosted October 1, 2026

Overview

Talon Defense seeks a Senior Data Engineer specializing in Data Quality & Observability to improve the reliability and usability of enterprise data. Working as part of a larger engineering team, this role will develop data quality controls, integrate diverse sources, and implement monitoring that helps teams identify and resolve issues affecting analytics and AI applications.

Key Responsibilities

  • Design and implement data quality checks across ingestion and transformation pipelines
  • Monitor schema, freshness, completeness, distributions, and relationships to identify changes affecting data usability
  • Profile diverse data sources and develop source mappings and transformation logic
  • Build monitoring, alerting, and lineage capabilities that support investigation and resolution of data issues
  • Develop representative test and synthetic datasets to support engineering and validation activities
  • Investigate pipeline failures and data quality incidents in collaboration with engineering teams
  • Integrate new sources and improve pipeline reliability, scalability, and maintainability
  • Document data assumptions, quality controls, and operational procedures

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related discipline, or equivalent experience, certifications, or military technical training
  • Experience owning production data pipelines and implementing data quality or data observability controls
  • Proficiency in Python and SQL, with experience profiling and transforming heterogeneous datasets
  • Experience detecting schema changes, distribution drift, relational inconsistencies, and semantic data quality problems
  • Experience onboarding poorly documented data sources and investigating silent pipeline failures
  • Ability to design meaningful quality checks and alert thresholds across multiple monitoring dimensions
  • Experience working with unstructured or narrative data in addition to structured datasets
  • Strong communication skills and ability to collaborate within a multidisciplinary technical team

Preferred Qualifications

  • Experience with Great Expectations, Deequ, Evidently, OpenLineage, or comparable tools
  • Experience creating synthetic data for realistic development and evaluation scenarios
  • Experience supporting ML pipelines and assessing downstream effects of source data changes
  • Experience with secure cloud environments and sensitive multi-source data

Compensation

$160,000 - $190,000 per year

Medical, dental, and vision coverage; 401(k) with company match; paid time off and federal holidays; life insurance; professional development and certification reimbursement.

Annual performance bonus; employee referral bonuses.

Salary offered will depend on numerous qualifying factors such as clearance, degree and the years and depth of applicable experience.

Security Clearance

An active Secret security clearance is required before starting work. Interim Secret determinations are acceptable. Top Secret clearance is preferred. Candidates must meet applicable U.S. person requirements and maintain the required clearance throughout employment.

Talon Defense, Inc. provides equal opportunities to qualified employees and prospective employees without regard to age, race, color, religion, pregnancy, sex, national origin, veteran status, uniformed status, physical or mental disability, or other protected characteristics.

Interested in this role?

Send us your resume and a brief introduction. We'd love to hear from you.

Apply Now

Questions about this position? Contact us at careers@talondefense.com