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Senior Data Engineer

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · New York

Employer listed it 2 weeks ago · Added 12 days ago

Been open since 2 weeks ago, still being checked, but it has been live a while.

Salary

$205k to $230k per year

Location

Hybrid · New York

Timezone

Not stated

Contract

Full-time

Experience

Senior

Category

Data

Published by the employer

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences.
Contract
Not mentioned in the advert
Experience asked for
Not mentioned in the advert
Pay
From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences.

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around New York, Remote, San Francisco, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "New York, Remote, San Francisco, Hybrid"
  • Listing mentions "Hybrid"

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a nice-to-have

  • “Blockchain experience is not required.”

Questions worth asking: Nomaders interpretation

  • This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About Alchemy

Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences.

Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com .

The Role

Build and run the internal data platform that helps Alchemy understand product usage, revenue, and the cost of serving customers. The existing Data Engineer intake centers on ingestion, Snowflake operations, workflow orchestration, data quality, and collaboration with analytics partners.

You will own ingestion, schema changes, and checks that show whether shared datasets are current and correct. You will work with analytics engineers and data scientists to define those datasets for reporting, analysis, and AI-assisted tools.

What You Will Do

Build batch and streaming pipelines that connect operational databases, product events, billing systems, and external sources to the internal data platform.

Make ingestion recoverable through change-data capture, schema-change handling, idempotent processing, and safe backfills.

Operate and improve Snowflake, including access controls, workload management, query performance, and compute and storage costs.

Improve orchestration and deployment workflows so engineers can test, ship, and debug pipelines safely.

Build data-quality checks that detect stale, missing, duplicated, or inconsistent records before they reach downstream consumers.

Work with analytics partners on shared data models, source definitions, and documentation. Make dataset ownership and upstream dependencies clear.

Reduce recurring manual work and build reusable tools for self-service data access.

Participate in production support and incident response for pipelines and the data platform. Restore data flow, reconcile affected datasets, and fix the causes of recurring failures.

What We Are Looking For

Experience independently building and operating production data pipelines and the infrastructure around them.

Strong SQL and Python skills, including testing, debugging, and maintainable software design.

Experience with Snowflake or a comparable warehouse, including performance tuning and access management.

Experience with workflow orchestration and transformation tools such as Airflow and dbt, or equivalent systems.

Understanding of data modeling, incremental processing, schema evolution, and data-quality testing.

The ability to trace a data discrepancy from a downstream report back to its source, explain the cause, and fix it.

Good judgment about stakeholder needs: turn recurring requests into reusable datasets or tooling, and make trade-offs clear.

Blockchain experience is not required.

Requirements

The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.

Benefits

  • ·🏥 Private Health Insurance
  • ·💪 Gym Reimbursement
  • ·🚅 Commuter Benefits
  • ·🌴 Flexible Time Off
  • ·🥙 In-Office Group Meals

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Alchemy, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 13d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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