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Senior Data Engineer
Tools for Humanity San Francisco, CA
$81k-103k (estimate)
Full Time 6 Months Ago
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Tools for Humanity is Hiring a Senior Data Engineer Near San Francisco, CA

About the Team:

The data team is responsible for deriving data-driven insights to support TFH’s key decisions. Because of our unique growth model of using a global network of Orb Operators to give a free share of Worldcoin to everyone on Earth, we require a high-performing Data team that is able to manage and analyze large amounts of data generated by the Orb, by the Worldcoin app, and by blockchain activity. In particular, the Data team’s responsibilities include data and analytics engineering, graph analysis, business intelligence, and statistical analysis.

About the Opportunity:

As a Senior Data Engineer, you will be responsible for developing the data architecture and pipelines that support our data-driven initiatives. In addition, you will also take on significant Analytics Engineering work, applying engineering best practices to provide clean, reliable, and up-to-date data, ready for analysis. You will work closely with data scientists, analysts, and other stakeholders to ensure data quality, accessibility, and performance across various data storage systems and platforms. You will be part of a team that serves and collaborates with many other teams, including Fraud and Risk Analytics, Product, Market Operations, Blockchain, and the wider Engineering team.

In this role, you will:

  • Work closely with other data engineers and analytics engineers and contribute to the building of a new data architecture, including data models, database structures, and storage solutions 
  • Build, maintain, and optimize scalable and efficient data pipelines to enable data ingestion, processing, and transformation from various internal and external sources
  • Assist with project planning, estimation, and resource allocation for data engineering initiatives, ensuring timely delivery of high-quality solutions
  • Monitor, troubleshoot, and optimize data pipeline performance; identifying and resolving issues to ensure high levels of reliability and availability
  • Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and develop solutions to address them

About You:

  • Degree in a quantitative field like computer science, engineering or physics
  • 5 years of hands-on work experience as a data engineer or in a similar role
  • Experience in database design and data warehousing concepts, with specific expertise in Snowflake
  • Strong analytical and problem-solving skills, with the ability to understand complex data systems and develop innovative solutions
  • Excellent programming skills in SQL
  • Significant programming experience in at least one high-level programming language (e.g., Python, Java)
  • Experience with DBT and data modeling techniques
  • Experience with AWS a plus
  • Familiarity with Spark
  • Familiarity with data integration and ETL (Stitch, Airbyte or Fivetran) or data replication (AWS DMS) tools and techniques
  • Familiarity with workflow management tools, such as Airflow, Prefect or Luigi a plus
  • Excellent communication and collaboration skills and experienced working in cross-functional teams
  • Proven track record of engineering systems in a fast-paced and continuously evolving environment; start-up experience a plus

Pay transparency statement (for CA and NY based roles): 

The reasonably estimated salary for this role at TFH ranges from $193,000 - $215,000, plus a competitive long term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, vision, 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend and much more!

By submitting your application, you consent to the processing and internal sharing of your CV within the company, in compliance with the GDPR

Job Summary

JOB TYPE

Full Time

SALARY

$81k-103k (estimate)

POST DATE

12/29/2023

EXPIRATION DATE

07/20/2024

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The job skills required for Senior Data Engineer include Problem Solving, Initiative, Collaboration, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior 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 Senior 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 Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Senior 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 Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Engineer job description and responsibilities

The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

03/09/2022: Billings, MT

The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

01/05/2022: Melbourne, FL

Create architecture for real-time, big data applications with minimal maintenance effort.

03/23/2022: Benton Harbor, MI

Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.

01/22/2022: Greenville, MS

Provides successful deployment and provisioning of data solutions to production or other required environments.

01/12/2022: Dothan, AL

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 Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

02/06/2022: Providence, RI

Earn a bachelor’s degree related to data engineering and begin working on projects.

02/16/2022: Denver, CO

Consider pursuing additional professional engineering or big data certifications.

03/06/2022: Raleigh, NC

Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

01/24/2022: Abilene, TX

Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

01/02/2022: New York, NY

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

Butler University
Carroll College
Cooper Union
High Point University
Princeton University
Providence College
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