Senior Data Engineer - Commerce Data Pipelines Job at aKUBE, Santa Monica, CA

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  • aKUBE
  • Santa Monica, CA

Job Description

City: Seattle, WA/ Santa Monica, CA or NYC

Onsite/ Hybrid/ Remote: Hybrid (4 days a week onsite, Friday - Remote)

Duration : 10 months

Rate Range : Up to$92.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract)

Work Authorization : GC, USC, All valid EADs except OPT, CPT, H1B

Must Have:

• SQL

• ETL design and development

• Data modeling (dimensional and normalization)

• ETL orchestration tools (Airflow or similar)

• Data Quality frameworks

• Performance tuning for SQL and ETL

• Python or PySpark

• Snowflake or Redshift

Responsibilities:

• Partner with business, analytics, and infrastructure teams to define data and reporting requirements.

• Collect data from internal and external systems and design table structures for scalable data solutions.

• Build, enhance, and maintain ETL pipelines with strong performance and reliability.

• Develop automated Data Quality checks and support ongoing pipeline monitoring.

• Implement database deployments using tools such as Schema Change.

• Conduct SQL and ETL tuning and deliver ad hoc analysis as needed.

• Support Agile ceremonies and collaborate in a fast-paced environment.

Qualifications:

• 3+ years of data engineering experience.

• Strong grounding in data modeling, including dimensional models and normalization.

• Deep SQL expertise with advanced tuning skills.

• Experience with relational or distributed data systems such as Snowflake or Redshift.

• Familiarity with ETL/orchestration platforms like Airflow or Nifi.

• Programming experience with Python or PySpark.

• Strong analytical reasoning, communication skills, and ability to work cross-functionally.

• Bachelor’s degree required.

Job Tags

Contract work, H1b,

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