Summary: Seeking an AWS Data Engineer to design and implement data pipelines and optimize large-scale data systems.

Bachelor's or Master's degree in Computer Science or related field

8+ years of experience in data engineering

Proficiency in programming languages such as Python, Java, Scala

Experience with AWS Glue, Python/PySpark for ETL pipeline development

Strong understanding of database design principles and data modeling

Proficiency in SQL and query optimization

Experience with Oracle, SQL Server, Redshift, Apache Kafka, Fivetran

Relevant cloud certifications (e.g., AWS Certified Data Analytics - Specialty)

Responsibilities:

Design and implement ETL data pipelines for large datasets

Build and maintain data warehouses ensuring quality and security

Optimize systems for performance and scalability

Provide technical support for Amazon Redshift

Collaborate with cross-functional teams to deliver data solutions

Pay Details: $40.00 to $60.00 per hour

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Equal Opportunity Employer/Veterans/Disabled

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The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
The California Fair Chance ActLos Angeles City Fair Chance OrdinanceLos Angeles County Fair Chance Ordinance for EmployersSan Francisco Fair Chance Ordinance

Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.