{"id":453621,"url":"https://alion.io/job/theguarantors-data-engineer","title":"Data Engineer","company":{"id":174606,"name":"TheGuarantors","domain":"theguarantors.com","url":"https://alion.io/company/theguarantors","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"A","score":100,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Fivetran","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"Azure","optional":true},{"name":"Dagster","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-08-25T16:28:41Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-25T01:57:55Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":59},"description":"TheGuarantors is a fintech company helping multifamily owners and operators mitigate leasing risk while expanding access for renters. With a deep understanding of owner, operator, and renter needs, we believe renters deserve better access to the home of their choice and operators deserve greater protection and growth opportunities. That’s why we’re leveraging our real estate expertiseand using AI-driven renter underwriting to help operators qualify renters faster while mitigating the financial risk of renter default. With $7B+in lease value protected, we work with 9 of the country’s top 10 operators, are the #1 lease guarantee provider nationwide, and have consistently been named one of Inc. 5000’s fastest-growing companies, Forbes’ Best Startup Employers, Deloitte’s Technology Fast 500.\nThe Role\nAs a Data Engineer at theGuarantors, you will play a vital role in the development, deployment and maintenance of our data infrastructure. You will work within our data engineering team to build, optimize, and maintain data pipelines, ensuring the availability and reliability of data for analytical and business purposes. You will help to execute on processes that leverage intelligence capabilities through advanced analysis of data sets, and that bring data and insights closer to the end user. This is an excellent opportunity for someone who is enthusiastic about data and eager to learn and grow in the field of data engineering.\nLocation\nThis will be a hybrid role based in NYC.\nWhat You'll Do\nData Ingestion and ETL/ELT: Assist in designing and implementing data pipelines to collect, ingest, and transform data from various sources into a structured format.\nData Quality: Collaborate with the team to monitor and maintain data quality standards, perform data validation, and resolve data quality issues.\nData Warehousing: Assist in the design and maintenance of data warehousing solutions to store and manage large volumes of data efficiently.\nAutomation and Orchestration: Work on automating routine data engineering tasks to improve efficiency and reliability.\nData Apps: Develop and maintain lightweight data applications for ML interfaces, simple CRUD operations, and quick interactive analysis.\nPerformance Optimization: Identify and implement optimizations to all parts of the data stack to improve data pipeline performance and reduce processing times.\nDocumentation: Create and maintain documentation for data pipelines, processes, and data flows.\nCollaboration: Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders to understand data requirements and deliver data solutions.\nContinuous Learning: Stay up to date with industry best practices and emerging technologies in data engineering.\nModeling Support: Curate and maintain data sets and pipelines that are crucial to core operational data models, to our feature store and to other AI/ML workflows.\nWhat You'll Bring\nBachelor's degree in Computer Science, Information Technology, or a related field.\nDemonstrated application of SQL and Python scripting skills.\nBasic understanding of data modeling concepts.\nProficiency in using data integration and ETL tools (e.g., Stitch/Talend, Airbyte, Fivetran, etc).\nKnowledge of data warehousing concepts and technologies (e.g., Snowflake, AWS Redshift, Google BigQuery, etc).\nExperience with AI-integrated development (tools such as Cursor, Claude Code, Github Copilot or similar).\nExcellent problem-solving skills and attention to detail.\nStrong communication and teamwork skills.\nAbility to work in a fast-paced, collaborative environment.\nEagerness to learn and adapt to new technologies and tools.\nNice To Have\nMaster’s degree in Computer Science, Information Technology, or a related field.\n1+ years of experience working for a small- to medium-sized technology company as a data engineer or similar role. \nExperience with cloud computing platforms such as AWS, Azure, or Google Cloud.\nKnowledge of data orchestration and workflow management tools (e.g., Dagster, Airflow).\nFamiliarity with data governance and security best practices.\nPrevious internship or coursework related to data engineering.\nBenefits\nOpportunities to make an impact within a fast growing company\nMedical, dental, & vision insurance, beginning day one\nHealth savings account with employer contribution\nFlexible spending accounts (healthcare, dependent care, commuter)\n401(k)\nGenerous PTO and paid holidays\nIn-office lunch perk\nFlexible working hours\nPaid parental leave\nCompany sponsored short and long term disability\nBase Salary\nThe base salary range is between $115,000 - $130,000 annually.\nBase salary does not include other forms of compensation or benefits. Final offer amounts are determined by multiple factors, including prior experience, expertise, location and current market data and may vary from the range above.\nTheGuarantors is an Equal Opportunity Employer. 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