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Liquid Agency, a brand experience agency, is looking for a Data Engineer to join our Analytics team. This is a remote position and you must be based in the US.
If you enjoy solving complex data challenges, while also designing and implementing data processing and transformation at scale that power state-of-the-art interactive product experiences, we would love to hear from you!
You will enable smarter, more innovative uses of data by building robust data pipelines and implementing data best practices.
What you’ll do:
Design and build reusable components, frameworks and libraries at scale to support analytics products
Develop architecture and design patterns to process and store high volume data sets
Collaborate on the implementation of new data management projects and re-structure of the current data architecture
Implement automated workflows and routines using workflow scheduling tools
Build continuous integration, test-driven development and production deployment frameworks
Build data gathering and extraction solutions across a variety of unconventional data sets
Work with the analytics team to ensure high-functioning data ETL and storage systems are in place
Maintain back-end support for functional endpoints that teams and clients use to access data
What you bring:
Bachelor’s degree in Computer Engineering, Data Science, Mathematics or related fields preferred. Master’s degree is a plus.
2-3 years of experience writing code and contributing to large data pipeline codebases with Python, Scala, or Java
Expertise designing and developing with distributed data processing platforms like Spark and pipeline orchestration tools like Airflow
Experience with SQL and query design on large, complex datasets
Experience with relational, NoSQL, and MPP (Snowflake, BigQuery, Redshift, DynamoDB, Redis, Elasticsearch) databases leading data modeling, schema design, and data storage best practices
Experience with enhancing CI/CD build tooling in a containerized environment, from deployment pipelines (Jenkins, etc), infrastructure as code (Terraform, Cloudformation), and configuration management via Docker and Kubernetes
We are brand makers born of Silicon Valley. In a world that’s moving fast, Liquid looks for new ways to solve complex problems. We meet each challenge with a fresh perspective, deploying smart tools and new approaches to create the right path forward. We call this Silicon Valley Thinking. Whether it is helping reposition an organization’s brand in a competitive market, engaging their employees to deliver on their brand’s promise, or reimagining the customer experience, we strive to design meaningful and relevant brand experiences at every possible touchpoint.
Liquid Agency is recognized the world over as a progressive thought leader in the field of branding, culture, and experience. We are fortunate to work with some of the most innovative clients of our time. Join us so you can do the best work of your career!
Full Time
Business Services
$101k-124k (estimate)
12/02/2022
02/03/2023
liquidagency.com
SAN JOSE, CA
50 - 100
2001
Private
SCOTT GARDNER
$5M - $10M
Business Services
Liquid Agency is a provider of marketing consulting and startups advisory services.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, 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 Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
03/12/2022: Dothan, AL
A data engineer prepares data for analytical or operational uses.
03/03/2022: Boulder, CO
Data engineers simplify complex data structure and prevent the reduplication of data.
03/28/2022: New Suffolk, NY
Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
04/13/2022: Harrisburg, PA
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
02/26/2022: Newark, NJ
A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.