Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$98к-202к/год
$150к$160кмедиана$200к
По похожим ролям (49) ~ $160к/год
На СНГ рынке: $3.8к/мес ($3к - $5.6к)
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Роль хорошо описана и сочетает практическую инженерную работу с техническим лидерством и современными инструментами, хотя масштаб на несколько направлений означает высокую сложность.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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