{"schemaVersion":"jobsearcher.job.v1","id":"5ca7c5fddff3455a7829dd6f","url":"https://jobsearcher.com/jobs/5ca7c5fddff3455a7829dd6f","canonicalUrl":"https://jobsearcher.com/jobs/5ca7c5fddff3455a7829dd6f","title":"Data Engineer","description":"Data Integration SpecialistAs a Data Integration Specialist, you will build and maintain the data foundation that powers Aaru's simulations. You will work across large internal and third-party datasets, designing reliable integration workflows, and ensuring that data can be linked, queried, and trusted at scale. This role sits at the intersection of data engineering and architecture and is critical to how Aaru produces predictive intelligence.ResponsibilitiesBuild and maintain scalable pipelines to ingest, clean, and integrate large multimodal datasetsOwn data ingestion across APIs, flat files, cloud storage, and data warehousesDesign workflows for linkage, entity resolution, deduplication, and schema harmonization across imperfect or incongruent datasetsWork with engineering, research, and deployment teams to make integrated data usable for simulation ingestionEstablish and monitor data quality checks, validation logic, and documentation across datasets and pipelinesHelp evaluate new data sources and determine how they can be joined with existing data assetsYou May Be A Fit IfYou have 3+ years of experience in data integration, data engineering, ETL/ELT, or a similar role involving large-scale datasetsYou have hands-on experience working with messy, high-volume data (>100 TB) and know how to build systems that remain reliable at scaleYou are highly fluent in SQL and Python, and comfortable working across modern data infrastructure such as Snowflake, BigQuery, Databricks, or similar toolsYou have strong judgment around data quality and know how to preemptively identify inconsistencies, edge cases, and integration risksStrong Candidates May AlsoHave experience with alternative data, (transaction data, clickstream, geospatial, etc) either from a hedge fund or data marketplace lensHave experience building matching or entity-resolution systems across fragmented or noisy identifiersHave familiarity with privacy, compliance, and data licensing considerations when working with sensitive or third-party dataHave worked closely with researcher or product teams to turn raw data from disjoint sources into accessible structured databaseHave a background in statistics and familiarity with sampling biases, bot-detection, imputation, and standard data quality metricsLocationThis role is based in New York City. Aaru is an in-person company, working 5 days a week in office. Candidates are expected to be located within the New York City metropolitan area or open to Aaru, we take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.","company":"Aaru","rawCompany":"aaru","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-09-11T03:25:36.114Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Data Integration SpecialistAs a Data Integration Specialist, you will build and maintain the data foundation that powers Aaru's simulations. You will work across large internal and third-party datasets, designing reliable integration workflows, and ensuring that data can be linked, queried, and trusted at scale. This role sits at the intersection of data engineering and architecture and is critical to how Aaru produces predictive intelligence.ResponsibilitiesBuild and maintain scalable pipelines to ingest, clean, and integrate large multimodal datasetsOwn data ingestion across APIs, flat files, cloud storage, and data warehousesDesign workflows for linkage, entity resolution, deduplication, and schema harmonization across imperfect or incongruent datasetsWork with engineering, research, and deployment teams to make integrated data usable for simulation ingestionEstablish and monitor data quality checks, validation logic, and documentation across datasets and pipelinesHelp evaluate new data sources and determine how they can be joined with existing data assetsYou May Be A Fit IfYou have 3+ years of experience in data integration, data engineering, ETL/ELT, or a similar role involving large-scale datasetsYou have hands-on experience working with messy, high-volume data (>100 TB) and know how to build systems that remain reliable at scaleYou are highly fluent in SQL and Python, and comfortable working across modern data infrastructure such as Snowflake, BigQuery, Databricks, or similar toolsYou have strong judgment around data quality and know how to preemptively identify inconsistencies, edge cases, and integration risksStrong Candidates May AlsoHave experience with alternative data, (transaction data, clickstream, geospatial, etc) either from a hedge fund or data marketplace lensHave experience building matching or entity-resolution systems across fragmented or noisy identifiersHave familiarity with privacy, compliance, and data licensing considerations when working with sensitive or third-party dataHave worked closely with researcher or product teams to turn raw data from disjoint sources into accessible structured databaseHave a background in statistics and familiarity with sampling biases, bot-detection, imputation, and standard data quality metricsLocationThis role is based in New York City. Aaru is an in-person company, working 5 days a week in office. Candidates are expected to be located within the New York City metropolitan area or open to Aaru, we take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.","datePosted":"2026-09-11T03:25:36.114Z","dateModified":"2026-09-11T03:25:36.114Z","hiringOrganization":{"@type":"Organization","name":"Aaru","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5ca7c5fddff3455a7829dd6f"},"url":"https://jobsearcher.com/jobs/5ca7c5fddff3455a7829dd6f"}}