Job Information
Motion Recruitment Partners Data Engineer in Los Angeles, California
Data Engineer
Los Angeles, California
Hybrid
Contract
$65/hr - $77/hr
Our client, a global leader in media & entertainment is actively looking for a Data Engineer to join their team in Los Angeles, CA!
This role is a *hybrid position , working onsite 3 days/week . Candidates must be commutable to Hollywood, California *
Key Responsibilities:
Build complex data engineering pipelines using Python and Airflow to hydrate datamarts in Snowflake and Data Lake in AWS Cloud.
Quick thinking in troubleshooting production scale data pipelines and analytical thinking in identifying data issues.
Integrate code with defined CI/CD framework and AWS services required for building secure data pipelines.
Work in an agile software development team to complete backlog items, working in conjunction with other developers and other data engineers & architects.
Test and create automated tests for your code, ensuring every function, service, and object is compatible with your team’s work and with the many systems within the system portfolio.
Act alongside other senior data engineers, help formulate best practices and setting up toolsets and procedures for the team, leveraging internally available tools and communicating with other internal development & product teams.
Stay up to date on new development and platform technologies, make recommendations for the right tool for the job, and take the lead in setting up those tools and training other developers on them.
Communicate with business partners to understand the needs of the user and implement those ideas in the code.
Create documentation for developers as well as business users to help them understand your products.
Maintain cloud-based platforms and environments of supported applications, troubleshooting and patching functional issues and data issues in lower or production environments when necessary.
Required Skills & Experience:
Minimum 7 years of related experience in data engineering
Strong understanding of Data warehousing concepts
Proficient in Python for building UDFs and pre-processing scripts
Proficient in sourcing data from APIs and cloud storage systems
Proficient in SQL with analytical thought process
Experience working on Airflow orchestration
Must have experience working on any of the cloud platforms - AWS would be preferred
Experience with CI/CD tools in a python tech stack
Experience working on Snowflake Datawarehouse would be nice to have
Experience working in story and task-tracking tools for agile workflows
Bachelor’s Degree in related field
Motion Recruitment Partners is an Equal Opportunity Employer, including disability/vets. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment Employee Accommodation policy. Applicants need to make their needs known in advance.
You will receive the following benefits:
Medical Insurance - Four medical plans to choose from for you and your family
Dental & Orthodontia Benefits
Vision Benefits
Health Savings Account (HSA)
Health and Dependent Care Flexible Spending Accounts
Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
Hospital Indemnity Insurance
401(k) including match with pre and post-tax options
Paid Sick Time Leave
Legal and Identity Protection Plans
Pre-tax Commuter Benefit
529 College Saver Plan
Motion Recruitment Partners is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment Employment Accommodation policy. Applicants need to make their needs known in advance.
Posted by: Jake Patrick
Specialization: Data Engineering