Data Engineer / Data Architect

Amazon.com, Inc.
Boston, MA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$93,400.0 - $140,200.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Airflow Cloud Computing Data Architecture Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Meta-Data Management Power BI
+7 more
Azure Data Factory Sql Optimization Snowflake Change Data Capture Data Lineage Tools for Reporting Data Pipelines

Job description

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Requirements

  • 5+ years of professional experience in Data Engineering, Data Architecture, or a combination of both.
  • Strong understanding of enterprise data architecture and data warehouse concepts.
  • Proven experience with Snowflake architecture, optimization, and administration.
  • Strong hands-on knowledge of advanced SQL and Python.
  • Solid experience designing and developing cloud-based ETL/ELT pipelines.
  • Strong data modeling skills across conceptual, logical, and physical layers.
  • Experience with CDC / Change Data Capture and event-driven data integration.
  • Familiarity with APIs and data orchestration frameworks.
  • Experience with one or more of dbt, Apache Airflow, Azure Data Factory, or equivalent technologies.
  • Knowledge of data governance, data lineage, metadata management, and MDM.
  • Experience supporting BI and reporting solutions such as Power BI., * Previous experience working within the insurance industry, particularly underwriting, claims, or finance data.
  • Snowflake certification is a plus.
  • Experience working with large-scale enterprise cloud data environments.

Benefits & conditions

  • $93,400-140,200 per year, + $138,000-144,000 per year JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology fo…

  • 4 hours ago +

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Good distractions

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

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Career evolution in data engineering and AI platforms

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Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

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Transforming data architecture from on-premise to cloud

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Standardizing data access schemas with OData

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