Data Engineer I: Build Scalable Data Pipelines & Insights

Socket.dev; Seattle (WA); On-site; USD 101,000 - 160,000; Full time

Benefits offered by this job

Sign-on bonus

Restricted stock units (RSUs)

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon in Seattle is hiring a Data Engineer to translate raw data into actionable insights. You will design data pipelines and data models, enabling automated reporting and data-driven decisions across teams such as analytics, product, and operations.

The role emphasizes building scalable ETL pipelines with SQL, Python and Spark, and collaborating with business customers to deliver comprehensive reporting solutions. Excel in a fast-paced data environment with Amazon-scale data.

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with one or more query languages (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).
• Experience with scripting languages (Python, KornShell).
• Familiarity with Hadoop, Hive, Spark, EMR and ETL tools is a plus.

Responsibilities

• Be hands-on with ETL to build data pipelines to support automated reporting.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
• Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift.
• Model data and metadata for ad-hoc and pre-built reporting.
• Interface with business customers, gathering requirements and delivering complete reporting solutions.
• Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
• Build and deliver high quality data sets to support business analyst, data scientists, and customer reporting needs.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
• Participate in strategic & tactical planning discussions

Skills

Data engineering

Data modeling

Data warehousing

ETL pipelines

SQL

Python

Spark

Tools

Apache Hadoop

Apache Hive

Apache Spark

EMR

Job description

Amazon in Seattle is hiring a Data Engineer to translate raw data into actionable insights. You will design data pipelines and data models, enabling automated reporting and data-driven decisions across teams such as analytics, product, and operations.

The role emphasizes building scalable ETL pipelines with SQL, Python and Spark, and collaborating with business customers to deliver comprehensive reporting solutions. Excel in a fast-paced data environment with Amazon-scale data.