217 Sr. Data Engineer (Data product engineering) Jobs in Irvine, CA
Allergan Data Labs is Hiring a Remote Sr. Data Engineer (Data product engineering)
As the Sr. Data Engineer, you will report to the Director, Data and Machine Learning, as well as continuously collaborate with key stakeholders across the business to solve the most important technical problems.
Responsibilities
Collaborate with cross functional partners (Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers, Business teams) to build data products
Develop, optimize, and maintain complex ETL processes for moving and transforming data.
Champion code quality, reusability, scalability, security and help make strategic architecture decisions
Implement processes and tools to ensure data quality, enforce data governance policies and engineering best practices
Develop APIs and Microservices to expose and integrate data products with software systems
Required Experience & Skills
Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or other quantitative field
5 years of experience as a Data Engineer writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases)
Strong programming skills in Python and understanding of core computer science principles
Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks
Knowledge of relational and dimensional data modeling concepts to build data products
Experience with data quality checks, data monitoring solutions
Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools
Experience with Git, CI/CD pipelines, Docker, Kubernetes
Experience with architecting solutions on AWS or equivalent public cloud platforms.
Experience with developing data APIs, Microservices and event driven systems to integrate data products
Strong interpersonal and verbal communication skills
Preferred Experience & Skills:
Knowledge of data mesh concepts
Experience in assessing and implementing new data tools to enhance the data engineering stack
Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science
Knowledge of vector databases, knowledge graphs, and other approaches for organizing & storing information
Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools
Our Core Values
Be Humble: You’re smart yet always interested in learning from others.
Work Transparently: You always deal in an honest, direct and transparent way.
Take Ownership: You embrace responsibility and find joy in having the answers.
Learn More: Through blog posts, newsletters, podcasts, video tutorials and meetups you regularly self-educate and improve your skill set.
Show Gratitude: You show appreciation and return kindness to those you work with.
Perks
Competitive salary.
Competitive annual bonus targets.
401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution.
RSU grants (Long Term Incentives) for approved roles.
Comprehensive medical, dental, vision and life insurance.
17 paid holidays per year, including 3 floating holidays.
Annual Paid Time Off (PTO), with separate sick days
12 weeks paid Parental Leave
Caregiver Leave
Adoption and Surrogacy Assistance Plan
Flexible workplace accommodations.
Free gym membership for those in our Irvine, CA WeWork office.
We celebrate our wins with opportunities to attend Lakers, Knicks, Anaheim Ducks, Anaheim Angels and NY Rangers games.
Opportunities to attend concerts, festivals and other live entertainment events in recognition of delivering great work.
Attend AWS Re:Invent in person (Las Vegas) or virtually each year.
Tuition reimbursement.
Attend a tech or marketing conference of your choice each year.
A MacBook Pro and accompanying hardware to do great work.
A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more.
Generous discounts on SkinMedica skin care products.
Job Summary
Full Time
$110k-136k (estimate)
02/02/2024
04/29/2024
allergandatalabs.com
Irvine, CA
<25
Related Companies
The job skills required for Sr. Data Engineer (Data product engineering) include SQL, Python, Data Engineering, AWS, Computer Science, Machine Learning, etc. Having related job skills and expertise will give you an advantage when applying to be a Sr. Data Engineer (Data product engineering). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Sr. Data Engineer (Data product engineering). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Sr. Data Engineer (Data product engineering) positions, which can be used as a reference in future career path planning. As a Sr. Data Engineer (Data product engineering), it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Sr. Data Engineer (Data product engineering). You can explore the career advancement for a Sr. Data Engineer (Data product engineering) below and select your interested title to get hiring information.
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