Назад
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18 часов назад

Senior Data Engineer

98 340 - 201 900$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
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
Senior Data Engineer (Snowflake/SQL/Python): Designing and delivering complex data pipelines, ETL/ELT processes, data warehouses, data marts, and integrations across enterprise Value Streams with an accent on scalable, secure, reliable, and production-ready data solutions. Focus on translating architecture standards into technical designs, solving complex engineering challenges, leading code reviews, and mentoring engineers through implementation.

Location: Atlanta, Georgia, USA; other locations include Chattanooga, Tennessee, USA; Portland, Maine, USA; and Columbia, South Carolina, USA.

Base salary: $98,340.00–$201,900.00.

Company

hirify.global is a Fortune 500 provider of employee benefits and service solutions, with 10,000 employees serving more than 39 million people worldwide.

What you will do

  • Serve as a hands-on technical lead for data engineering across at least two Value Streams.
  • Design and implement complex data pipelines, ETL/ELT processes, data warehouses, data marts, data models, and enterprise data assets.
  • Translate enterprise architecture standards, patterns, and governance guardrails into scalable, production-ready technical designs.
  • Lead cloud, on-premises, internal, and external integrations using batch, near-real-time, real-time, and API-based patterns.
  • Make technical design decisions, conduct design and code reviews, troubleshoot complex challenges, and guide solutions through production.
  • Establish engineering practices, mentor engineers, and support Value Stream transformation using modern data engineering technologies and AI-enabled tools where appropriate.

Requirements

  • 6+ years of experience in Data Engineering, Software Engineering, Data Integration, or related technical disciplines.
  • Hands-on experience designing and building complex data pipelines, ETL/ELT solutions, data warehouses, data marts, and data models in large-scale enterprise environments.
  • Strong hands-on expertise with Snowflake, SQL, Python, and modern ETL/ELT technologies.
  • Experience with cloud data platforms and integrations through APIs, batch, near-real-time, and real-time patterns.
  • Deep knowledge of data modeling, data integration patterns, solution design, and modern data engineering practices.
  • Ability to translate enterprise architecture patterns, standards, and guardrails into detailed, scalable, production-ready designs.
  • Experience as a hands-on technical lead, including design decisions, design and code reviews, complex problem-solving, and implementation guidance.
  • Understanding of DevOps, CI/CD, Git, automated testing, automation, deployment, and operational excellence.
  • Experience delivering solutions across complex enterprise environments with multiple systems, platforms, and data sources; strong problem-solving, communication, stakeholder management, and business acumen.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field is preferred.

Nice to have

  • Familiarity with legacy data platforms such as Teradata and DB2, particularly in modernization or transformation environments.

Culture & Benefits

  • Award-winning culture with inclusion and diversity as priorities.
  • Performance-based incentive plans and competitive health, vision, dental, and disability benefits.
  • Generous paid time off, including paid volunteer time, plus mental health support.
  • Up to 9.5% 401(k) employer contribution, student loan repayment options, and tuition reimbursement.
  • Career advancement opportunities and flexible work environments.

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