Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,232 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer
New York · San Francisco · New York, United States
Live, first seen by us 24 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering › Software Engineering — team source
Department: Engineering › Software Engineering
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require visa sponsorship to work in the country where this role is based?
From the employer’s application form
What you’ll work on
Full postingBuild batch and streaming pipelines from databases, product events, and billing systems
Make ingestion recoverable with change-data capture, schema-change handling, and safe backfills
Operate and tune Snowflake for access controls, query performance, and costs
Build data-quality checks for stale, missing, duplicated, or inconsistent records
Take part in production support, restore data flow, and fix recurring failures
From the employer’s posting
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.
Build data-quality checks that detect stale, missing, duplicated, or inconsistent records before they reach downstream consumers.
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 you’ll bring
All qualificationsCore experience
- 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.
Qualification wording
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.
Benefits in the posting
Full benefits wording- 🏥 Private Health Insurance
- 🚅 Commuter Benefits
- 🧠 Learning & Development Stipend
From the employer’s posting.
About Alchemy
Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 16, 202624 days ago
- Recorded sightings
- 28
- Last seen by us
- Nov 9, 2026
- Employer says posted
- Oct 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 24
Similar jobs usually come down between day 5 and day 54.
From 12,127 similar postings that came down. Coming down is not always a hire.
Alchemy is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- dbt
- Iceberg
- Kafka
- Snowflake
- Spark
- Trino
- Airflow
Where the posting names them
- 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 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.
- Kafka, database replication, or change-data-capture systems. - Apache Iceberg, Spark, Trino, or other lakehouse and query technologies. - Infrastructure as code, data observability, lineage, and disaster recovery.
Helpful Experience - Kafka, database replication, or change-data-capture systems. - Apache Iceberg, Spark, Trino, or other lakehouse and query technologies.
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.
- 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.
- 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.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
Helpful Experience
Kafka, database replication, or change-data-capture systems.
Apache Iceberg, Spark, Trino, or other lakehouse and query technologies.
Infrastructure as code, data observability, lineage, and disaster recovery.
Usage metering, billing and revenue data, or semantic layers for self-service analytics.
What Success Looks Like
Within three months:
You own a production pipeline and have shipped an improvement to its freshness, reliability, or operating cost.
Downstream users can see whether its data is current, recovery procedures have been tested, and a recurring manual request has become a reusable dataset or tool.
Benefits & Perks
🏥 Private Health Insurance
💪 Gym Reimbursement
🚅 Commuter Benefits
🌴 Flexible Time Off
🥙 In-Office Group Meals
🧠 Learning & Development Stipend
🌎 Company Sponsored Conferences & Events
🎧 Books & Audiobook subscription with Bookster
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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