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affinipay1
Страна
США
Зарплата
150 000 $ – 175 000 $
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SeniorУдалённоПолная занятость

Senior Data Engineer

Оценка ИИ

Отличная вакансия в стабильной, быстрорастущей компании с прозрачной вилкой зарплаты и сильным социальным пакетом. Четко прописанные обязанности и современный стек технологий делают эту роль привлекательной для опытных инженеров.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокий уровень сложности обусловлен требованием более 7 лет опыта и глубоких знаний в широком стеке технологий: от Spark и Python до IaC (Terraform) и систем потоковой передачи данных (Kafka). Роль подразумевает не только разработку, но и лидерство в архитектурных решениях и менторство.

Анализ зарплаты

Медиана165 000 $
Рынок145 000 $ – 190 000 $
Оценка ИИ

Предложенная вилка $150k–$175k полностью соответствует рыночным стандартам для Senior Data Engineer в США, работающих удаленно. Это конкурентоспособное предложение, учитывающее высокий уровень ответственности и требуемый опыт.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Data Engineer position at 8am. With over 7 years of experience in building robust data architectures and scaling analytics platforms, I am confident in my ability to contribute to your mission of empowering professionals with innovative technology. My background in designing complex ETL processes using Python and Spark, combined with extensive experience in cloud infrastructure (AWS) and data warehousing (Redshift/Snowflake), aligns perfectly with the technical requirements of this role.

Throughout my career, I have focused on not just building pipelines, but ensuring data reliability and observability. I am particularly drawn to 8am's culture of continuous learning and your commitment to technical excellence. I have a proven track record of mentoring junior engineers and establishing engineering standards that balance speed with technical quality. I am excited about the opportunity to help 8am evolve its data platform and turn raw data into decision-driving insights for your growing portfolio of products.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

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Присоединяйтесь к команде 8am и создавайте масштабируемую платформу данных для 250 000 профессионалов!

Описание вакансии

It's a new day with a new opportunity at 8am!

About the role:

8am is looking for a Senior Data Engineer to help design and scale the data platform that power analytics, product insights, and machine learning across the company.  In this role, you will own key parts of our data architecture, build reliable data pipelines, and partner closely with product, engineering, and analytics teams to turn raw data into decision-driving insights.  You’ll also help set engineering standards, mentor teammates, and drive momentum across the team by improving the way we build, review, and operate data systems.

About us:

At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters.

Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well!

What you'll do:

  • Lead design discussions around data architecture, modeling strategy, and platform evolution
  • Identify opportunities to simplify and scale the data platform
  • Drive improvements to data reliability, observability, and data quality
  • Establish and promote best practices for data modeling, testing, and code review
  • Help the team prioritize work and balance speed with technical quality
  • Develop and optimize ETL processes
  • Integrate data sources across a broad product portfolio to provide stakeholders access to key information they need to excel at their job
  • Mentor other data engineers
  • Challenge how business use cases fit together and fit into our product
  • Determine and proactively communicate future impacts of proposed or ongoing work
  • Help the team mitigate any issues that arise in their product and its ecosystem
  • Model data and metadata to support ad-hoc and pre-built reporting facilitating data access for our BI tools and analytical reporting
  • Provide technical guidance to help Data Engineering evolve access to data platform
  • Work with engineering to integrate tracking of new functionality into the data ecosystem
  • Optimize the performance of business-critical queries
  • Explain why the projects their team is working on have been prioritized over other projects

About you:

  • 7+ years of data engineering experience
  • Experience with data warehouses and large-scale analytics systems (Redshift, Snowflake, BigQuery, etc.)
  • Strong experience designing and building data pipelines and data platforms
  • Cloud infrastructure experience (AWS preferred)
  • Experience building and maintaining relational as well as  document, key-value, and other noSQL databases
  • Advanced Python & SQL skills
  • Experience working with third-party APIs for data integration
  • Experience with business process automation
  • Bachelor's degree or higher in a technical field (or similar combination of education and experience)
  • Spark and Redshift experience (PySpark preferred)
  • Experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.)
  • Experience with Infrastructure as Code (Terraform / CloudFormation)
  • Experience with event or streaming systems (Kafka or similar)
  • CI/CD experience

**Additional InformationThe annual salary range for this position is $150,000 to $175,000. The salary range for performing this role outside of the US / Austin / California may differ.  8am is committed to offering competitive, fair and commensurate compensation and has provided an estimated pay range for this role. Actual compensation may vary based on job-related knowledge, skills, experience and education. Why 8am:**

At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values: Work Smart, Win Fast; Outshine Ordinary, and We Find a Way. These values drive how we serve our customers and work with each other in a collaborative, inspiring, and empowering environment, every day.

Here’s how we support our 8Team:

  • Health Insurance Coverage: We offer our 8Team a variety of medical, dental, and vision plans, designed to fit your needs, including a 100% company-paid HDHP plan for employees.
  • Financial perks: We offer a competitive compensation and benefits package including annual bonuses, equity options and 401(k) or RRSP if in Canada, with a company match for all team members.
  • Time for what matters: Flexible Time Off, paid holidays, and a parental leave program for our new parents.
  • Wellness: Wellness stipends, mental health support, and one-on-one nutrition coaching.
  • Learning and Development: Continuous learning through 8am.edu, leadership programs, professional development funds, and individually focused talent development.
  • Giving back to the communities around us: Participate in our charitable matching gift program, paid time off for volunteer service, and company-sponsored volunteer events (both local and virtually).
  • Engagement: Virtual and in-person team-building events, quarterly award recognition through our Rise & Shine Award of Excellence Program, and our peer-to-peer appreciation platform.

At 8am, we don’t just offer benefits - we create an environment where people can thrive, grow, and make a real impact every day.

Diversity, equity & inclusion at 8am:

At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach.

Security advisory:

Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology.  As such, our Talent Acquisition Team only follows legitimate hiring practices.  We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process.  All interviews take place over phone call, Zoom/Google Meet or in person.  All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • SQL
  • AWS
  • Redshift
  • Snowflake
  • BigQuery
  • Spark
  • PySpark
  • Airflow
  • Prefect
  • Dagster
  • Terraform
  • CloudFormation
  • Kafka
  • NoSQL
  • CI/CD
  • ETL

Возможные вопросы на собеседовании

Проверка опыта проектирования сложных систем и понимания компромиссов в архитектуре.

Опишите случай, когда вам пришлось проектировать архитектуру данных с нуля. Какие ключевые решения вы приняли для обеспечения масштабируемости и надежности?

Вакансия требует глубоких знаний Spark и оптимизации запросов.

Как бы вы подошли к оптимизации производительности Spark-джоба, который постоянно падает с ошибкой OutOfMemory или работает слишком медленно?

В описании упоминается работа с различными типами БД (NoSQL, Relational).

В каких сценариях вы бы предпочли использование NoSQL базы данных вместо традиционной реляционной в рамках вашей аналитической платформы?

Роль Senior предполагает внедрение стандартов качества.

Какие практики CI/CD и тестирования данных (Data Quality) вы считаете обязательными для современной платформы данных?

Вакансия включает менторство и взаимодействие с бизнесом.

Как вы объясняете технические ограничения или приоритеты стейкхолдерам, которые не обладают глубокими техническими знаниями?

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affinipay1
Страна
США
Зарплата
150 000 $ – 175 000 $