Senior Data Engineer

Amazon.com, Inc.
Seattle, WA, United States
5 days ago
Apply on www.careerjet.com
Prepare application

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$73,450.0 - $132,775.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Airflow Amazon Web Services Microsoft Azure Big Data Data Systems Data Visualization Python (Programming Language) Power BI Cloud Services Standard Sql Tableau (Software)
+4 more
Apache Spark Information Technology Data Pipelines Databricks

Job description

The Business Data team within Agent Software and Advertising is hiring a Senior Data Engineer (12-month contract, remote) to lead analytics to uncover insights to drive both better business decisions and customer experiences across our business. You Will Get To:

  • Collaborate with team members across product, engineering, support, operations, marketing, sales and more to understand business needs and convert them to technical requirements.
  • Design and implement scalable data pipelines to collect, process, and store large volumes of critical data from various sources.
  • Provide data reliability and uptime by monitoring and troubleshooting data pipeline performance and scalability to ensure efficient operations.
  • You are a “lazy” engineer - continuously seeking to improve the team’s efficiency by automating repeatable processes.
  • You are a fast learner with strong business insight and can collaborate with various product partners to quickly acquire a deep understanding of the business processes that feed into our team’s data pipelines
  • Authoritatively translate business use cases into well-thought-out data models that are easy to evolve with the business.
  • Communicate technical concepts effectively to non-technical audiences.
  • You are a bar-raiser for engineering best practices - carefully reviewing specifications, designs, pull requests and providing constructive/helpful feedback to raise the quality of our team’s output
  • Consistently write high-quality code, refactor, and optimize for better scalability, performance, and readability.
  • Provide leadership within the team and mentor other team members.

Who You Are

  • You are ready to bring your data and engineering expertise to transform what it means for the real estate industry to unlock the ability for consumers to dream, search, and find a home. You have an appreciation of the unique challenges posed by business-to-business product development and go-to-market.

Requirements

  • A degree (BS+) in Computer Science or a related field
  • 5+ years of experience building and maintaining data-intensive applications.
  • Experience developing sophisticated data pipelines scaling to billions of rows with production quality deployment, monitoring and reliability
  • Extensive experience with modern data technologies such as Spark and Airflow.
  • Strong proficiency in programming languages such as Python, Java, or Scala.
  • Extensive experience with SQL
  • Proven data modeling experience, translating business requirements into clean and easily evolvable data models.
  • Excellent interpersonal skills and a passion for collaborating across organizational boundaries.

Nice to have:

  • Experience working with cloud services (AWS/Azure/GCP)
  • Experience with Databricks
  • Understanding of data visualization tools (e.g., Tableau, Power BI).
  • We value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

Videos

See all

Related articles

See all