Senior Data Engineer, Product

CoinBucha

Northern (KY)

Hybrid

USD 198.000 - 297.000

Vollzeit

vor 28 Stunden
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Remote work
Medical insurance
Flexible time off
Retirement savings plan
Family planning

Zusammenfassung

Block's Product Data Engineering Team is hiring a Data Engineer to build the data foundation powering Cash App, Square, Afterpay, and TIDAL. You will design scalable data models across event streams, customer data, and operational datasets.

You will own pipelines, implement AI-assisted tooling, monitor quality and lineage, and collaborate with product, engineering, and data science teams to enable analytics at scale.

Qualifikationen

  • 10+ years of related experience; or 8+ years with a Master’s degree.
  • Strong SQL, Python, and Dbt proficiency.
  • Experience in end-to-end data engineering lifecycle.

Aufgaben

  • Lead the creation and optimization of data models across eventing, customer-level, and process-level data.
  • Own critical data pipelines, including money transfer datasets and experimentation platform data.
  • Build monitoring for data quality and lineage; develop AI agents for automation.
  • Participate in on-call rotation; diagnose issues; ensure SLAs are met.
  • Collaborate with non-technical partners to translate business needs into data solutions.

Kenntnisse

SQL
Python
Dbt
Airflow
Prefect
Data modeling
Data pipelines
Data quality
Data lineage
Snowflake

Ausbildung

Bachelor's degree
Master's degree

Tools

Snowflake
Databricks
Dbt
Github
Airflow
Omni
Terraform

Jobbeschreibung

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

As a Data Engineer, you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable a range of other engineering and business teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. This role will support the product data engineering team.

The Product Data Engineering Team at Block builds and maintains the curated data foundation that powers all of Block's product lines — Cash App, Square, Afterpay, and Tidal. We transform raw event streams, transactional systems, and operational data into governed, tested, and reliable analytical assets across domains including banking, lending, commerce, investing, checkout, and AI assistants. We partner with Product, Engineering, Data Science, Machine Learning, and Applied AI teams to deliver the metrics, experimentation frameworks, and ML-ready datasets that enable Block's products to grow, improve, and serve customers at scale.

You Will
  • Lead the creation and optimization of data models across eventing, customer-level, and process-level data, leveraging AI-assisted development tools to accelerate delivery.
  • Take shared or independent technical ownership of critical data pipelines across Block — including foundational customer datasets, money transfer and movement pipelines, and the data infrastructure powering Block's experimentation platform.
  • Build monitoring to assess data quality and lineage and further, build AI agents for false positive reduction and automated resolution.
  • Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders. Automate this process through AI agents to focus human effort on highest priority tasks.
  • Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and develop automated end-to-end solutions.
You Have
  • A minimum of 10 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.
  • High proficiency in SQL, Python, and Dbt
  • Experience designing medium-to-large data engineering solutions and responsible for the entire lifecycle of projects including scoping, design, development, testing, deployment, and documentation
  • Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect, as well as
  • Experience in schema design and dimensional data modeling
  • Experience with setting up data quality and data lineage monitoring
  • Experience with data driven decisions through AI and agentic automation
Technologies We Use and Teach
  • Snowflake
  • Databricks
  • Dbt
  • Github
  • Airflow
  • Omni
  • Terraform

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page .

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

To find a location’s zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information.

Zone A:

$198,000 — $297,000 USD

Zone B:

$188,100 — $282,100 USD

Zone C:

$178,200 — $267,400 USD

Zone D:

$168,300 — $252,500 USD

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.

Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people.Squaremakes commerce and financial services accessible to sellers.Cash Appis the easy way to spend, send, and store money.Afterpayis transforming the way customers manage their spending over time.TIDALis a music platform that empowers artists to thrive as entrepreneurs.Bitkeyis a simple self-custody wallet built for bitcoin.Protois a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.

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