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2 дня назад

Data Engineer

130 000 - 145 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (SQL/Data Pipelines): Building and maintaining reliable data pipelines, transformations, and integration structures for federal health agency applications with an accent on data quality, lineage, migrations, and secure data handling. Focus on designing recoverable ETL workflows, troubleshooting distributed data processing, supporting controlled cloud migrations, and validating AI-assisted analysis outputs.

Location: Washington, DC, USA; on-site support in the Bethesda, Maryland area may be required as directed. Work-from-home flexibility is available.

Salary: $130,000–$145,000 per year

Company

hirify.global delivers IT, data, and technology capabilities to government agencies, including federal health agencies.

What you will do

  • Build and maintain production data pipelines, transformations, and integration structures for enterprise business applications and modernization initiatives.
  • Profile source data, schemas, interfaces, and data movement to document lineage, dependencies, and integration requirements.
  • Design ETL processes with validation, reconciliation, data quality checks, error handling, logging, and recoverable processing.
  • Develop SQL and transformation logic for application integration, operational reporting, and approved data products.
  • Support database and application migrations through mapping, test loads, reconciliation, performance optimization, and controlled cutover.
  • Monitor workflows, investigate failures, maintain runbooks and documentation, coordinate with stakeholders, and transfer knowledge during service transition.

Requirements

  • Experience building and supporting production data pipelines and integration workflows.
  • Strong SQL skills with relational data modeling, schema analysis, and data transformation experience.
  • Experience implementing data quality checks, reconciliation, lineage, and operational error handling.
  • Experience troubleshooting performance and reliability issues in scheduled or distributed data workflows.
  • Experience with source control, automated testing, and controlled deployment of data changes.
  • Ability to collaborate with application engineers, database administrators, business analysts, data owners, Government stakeholders, and contractor teams.
  • Ability to document work clearly, protect sensitive program information, use Government-approved tools, and validate AI-assisted output before delivery decisions.
  • 6–10 years of experience with Oracle, SQL Server, or approved managed cloud databases relevant to assigned systems.
  • Ability to meet federal suitability and access requirements; must hold or be eligible for a Public Trust Moderate (Tier 2) background investigation and applicable badging and system-access requirements.
  • On-site support in the Bethesda, Maryland area may be required as directed.
  • Clear verbal and written communication skills, including explaining findings, documenting decisions and procedures, and communicating risks and recommended actions.

Nice to have

  • Experience modernizing data integration or migrating application data to cloud services.
  • Experience preparing governed data sources for approved analytics or AI-assisted requirements analysis.
  • Experience supporting a Federal IT services environment, preferably for a federal health agency or comparable federal IT environment.
  • Experience transferring knowledge from an incumbent team and maintaining reliable services during transition.
  • Degree or relevant coursework in computer science, information systems, engineering, or a related discipline.
  • Relevant data platform, database, or cloud certification.

Culture & Benefits

  • Full-time role with work-from-home flexibility and a mainly routine office environment.
  • Collaboration across Government, prime contractor, subcontractor, application, database, and data-owner teams.
  • Flexible availability for extended working hours may be required.
  • Pre-employment screening is required.
  • Reasonable accommodations may be available for qualified individuals with disabilities.

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