Senior Backend Engineer, Data Modeling and Ingestion Platform

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$180K-$220K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

72% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Backend Engineer, Data Modeling and Ingestion Platform New York About the Role We are looking for a Senior Backend Engineer to lead the unification of large, highly rich, and heterogeneous datasets sourced from a wide range of external providers. These datasets are used to power our generative audio models. Your work will create the foundational dataset that powers our research by building robust, scalable systems for linking, deduplicating, reconciling, and enriching data at massive scale. This role centers on high-impact bulk ingestion and advanced data linkage . You will design the logic, algorithms, and strategies that transform many independent datasets into a unified, high-quality canonical asset used throughout the company. You will collaborate closely with ML researchers and product teams, working with tools such as BigQuery, Dataflow/Beam, TFRecords , and-where beneficial-distributed systems frameworks like Ray . Familiarity with ML workflows using JAX or multihost training is a plus, as the datasets you produce will directly support that ecosystem. What You'll Do - Build high-throughput bulk ingestion workflows to integrate datasets from multiple external providers. - Design and implement scalable entity-resolution solutions, including record linking, deduplication, clustering, and conflict arbitration. - Create and refine matching logic, decision rules, and similarity functions to align datasets with high accuracy and strong coverage. - Define and track data quality indicators , such as overlap metrics, match precision/recall, duplicate rates, and completeness. - Prepare training-ready datasets in formats such as TFRecords , and structure data to meet ML research requirements. - Develop processing components

Read the full description at job-boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.