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Data Engineer
Yakoa San Francisco, CA
$122k-155k (estimate)
Full Time 1 Month Ago
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Yakoa is Hiring a Data Engineer Near San Francisco, CA

We're looking for a forward-thinking, structured problem solver, and technical specialist passionate about building systems at scale. You will be among the first to tap into massive blockchain datasets, to construct data infrastructure that makes possible analytics, data science, machine learning, and AI workloads.

As the data domain specialist, you will partner with a cross-functional team of product engineers, analytics specialists, and machine learning engineers to unify data infrastructure across Yakoa's product suite. Requirements may be vague, but the iterations will be rapid, and you must take thoughtful and calculated risks. Your work will take place at the interface of the AI, blockchain, and intellectual property domains, so you must be a quick learner with a thirst for many types of knowledge.

Responsibilities

  • Design, build, test, and maintain scalable data pipelines and microservices sourcing both first-party and third-party datasets and deploying distributed (cloud) structures and other applicable storage forms such as vector databases and relational databases.
  • Index multiple blockchain data standards into responsive data environments, and tune those environments to power real-time query infrastructure.
  • Design and optimize data storage schemas to make terabytes of data readily accessible to our API.
  • Build utilities, user-defined functions, libraries, and frameworks to better enable data flow patterns.
  • Utilize and advance continuous integration and deployment frameworks.
  • Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing.
  • Mentor other engineers while serving as technical lead, contributing to and directing the execution of complex projects.
  • 4 years working as a data engineer.
  • Proficient in database schema design, and analytical and operational data modeling.
  • Proven experience working with large datasets and big data ecosystems for computing (spark, Kafka, Hive, or similar), orchestration tools (dagster, airflow, oozie, luigi), and storage(S3, Hadoop, DBFS).
  • Experience with modern databases (PostgreSQL, Redshift, Dynamo DB, Mongo DB, or similar).
  • Proficient in one or more programming languages such as Python, Java, Scala, etc., and rock-solid SQL skills.
  • Experience building CI/CD pipelines with services like Bitbucket Pipelines or GitHub Actions.
  • Proven analytical, communication, and organizational skills and the ability to prioritize multiple tasks at a given time.
  • An open mind to try solutions that may seem astonishing at first.
  • An MS in Computer Science or equivalent experience.

Exceptional candidates also have:

  • Experience with Web3 tooling.
  • Experience with artificial intelligence, machine learning, and other big data techniques.
  • B2B software design experience.

No crypto or Web3 experience? No problem! We’ll help coach you and cover any costs for educational materials for your growth.

  • Unlimited PTO.
  • Competitive compensation packages.
  • Remote friendly & flexible hours.
  • Wellness packages for mental and physical health.

Job Summary

JOB TYPE

Full Time

SALARY

$122k-155k (estimate)

POST DATE

03/24/2023

EXPIRATION DATE

08/16/2023

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The job skills required for Data Engineer include SQL, Python, Big Data, Computer Science, Machine Learning, Java, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.

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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.

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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.

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A data engineer prepares data for analytical or operational uses.

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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.

01/22/2022: Fort Wayne, IN

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.

04/10/2022: Fayetteville, NC

Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

03/09/2022: Saginaw, MI

Step 3: View the best colleges and universities for Data Engineer.

Butler University
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