{"schemaVersion":"jobsearcher.job.v1","id":"9a0e6990d5fcf71772b74e1f","url":"https://jobsearcher.com/jobs/9a0e6990d5fcf71772b74e1f","canonicalUrl":"https://jobsearcher.com/jobs/9a0e6990d5fcf71772b74e1f","title":"Data Engineer","description":"Client: NDA (USA)\r\nLocation: remote (LATAM & Europe)\r\nEmployment: full-time (40 hours per week)\r\nOur client is a well-known US-based rewards marketplace that helps users earn for engaging with digital offers, while delivering strong value to advertisers through performance-driven solutions. We are looking for a skilled and detail-oriented Data Engineer who will play a key role in building and maintaining scalable data infrastructure within the AWS ecosystem.\r\nThe ideal candidate has solid hands-on experience with Apache Airflow, Snowflake, and Python, and knows how to design efficient, fault-tolerant pipelines. This role is perfect for someone who enjoys solving complex data challenges, optimizing workflows, and collaborating across product and engineering teams.\r\nRequirements\r\n3–5 years of proven experience as a Data Engineer , with strong expertise in designing and maintaining production-grade data pipelines.\r\n2+ years of experience with Apache Airflow (MWAA) , including building and debugging complex DAGs, and applying best practices for error handling and idempotency.\r\n2+ years of practical experience with Snowflake , including advanced SQL (MERGE, COPY INTO), query tuning, and orchestration tasks.\r\n3+ years of experience with Python , including object-oriented programming, Pandas , and concurrent execution (e.g., ThreadPoolExecutor for parallel data processing).\r\n3+ years of experience writing complex SQL queries (CTEs, window functions, stored procedures) and optimizing them for large datasets.\r\n2+ years of experience working with AWS (S3, IAM, Lambda).\r\nExperience with Infrastructure as Code tools (Terraform or CloudFormation) is a strong plus.\r\nStrong understanding of ETL/ELT principles , data modeling (star schema, slowly changing dimensions), and data quality management.\r\nExperience troubleshooting production data issues, including debugging race conditions, performance bottlenecks, and data inconsistencies.\r\nExcellent communication skills, attention to detail, and a proactive, team-oriented mindset.\r\nNice to have\r\nExperience with marketing and mobile attribution data sources (e.g., Adjust, Singular, AppsFlyer).\r\nFamiliarity with Looker or other BI visualization tools.\r\nExperience with ETL/Reverse ETL platforms (Hevo, Hightouch, Census).\r\nKnowledge of dbt or Great Expectations.\r\nCertifications in Snowflake, AWS, or Airflow will be a plus.\r\nResponsibilities\r\nDesign, develop, and maintain scalable ETL/ELT pipelines using Python, Apache Airflow (MWAA), and Snowflake.\r\nBuild data ingestion workflows from multiple sources, including AWS S3, Aurora MySQL, MongoDB, BigQuery, and third-party APIs (Singular, AppsFlyer, Google Ads, Facebook Ads, TikTok Ads).\r\nImplement processes for data validation, cleansing, and deduplication to ensure high accuracy and reliability.\r\nApply a declarative and idempotent approach to pipeline design to support reliable backfills and recovery.\r\nSet up monitoring, logging, and alerting systems (e.g., Slack notifications) for data operations and pipeline performance tracking.\r\nCollaborate with Data, Product, and Engineering teams to translate business needs into reliable technical solutions.\r\nContinuously optimize data workflows and SQL queries for performance and cost efficiency.\r\nEnsure adherence to data quality and governance standards across all processes.\r\nWe offer\r\nRemote work in an international company in the USA.\r\nCompetitive salary in the USD.\r\nFlexible working hours to help you manage your work/life balance.\r\nFully remote service/support\r\nCareer and professional growth.\r\nWarm and friendly attitude to every specialist.\r\nJ-18808-Ljbffr","company":"Ameware Group","rawCompany":"ameware group","city":"Snowflake","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-04-12T04:46:10.290Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Client: NDA (USA)\r\nLocation: remote (LATAM & Europe)\r\nEmployment: full-time (40 hours per week)\r\nOur client is a well-known US-based rewards marketplace that helps users earn for engaging with digital offers, while delivering strong value to advertisers through performance-driven solutions. We are looking for a skilled and detail-oriented Data Engineer who will play a key role in building and maintaining scalable data infrastructure within the AWS ecosystem.\r\nThe ideal candidate has solid hands-on experience with Apache Airflow, Snowflake, and Python, and knows how to design efficient, fault-tolerant pipelines. This role is perfect for someone who enjoys solving complex data challenges, optimizing workflows, and collaborating across product and engineering teams.\r\nRequirements\r\n3–5 years of proven experience as a Data Engineer , with strong expertise in designing and maintaining production-grade data pipelines.\r\n2+ years of experience with Apache Airflow (MWAA) , including building and debugging complex DAGs, and applying best practices for error handling and idempotency.\r\n2+ years of practical experience with Snowflake , including advanced SQL (MERGE, COPY INTO), query tuning, and orchestration tasks.\r\n3+ years of experience with Python , including object-oriented programming, Pandas , and concurrent execution (e.g., ThreadPoolExecutor for parallel data processing).\r\n3+ years of experience writing complex SQL queries (CTEs, window functions, stored procedures) and optimizing them for large datasets.\r\n2+ years of experience working with AWS (S3, IAM, Lambda).\r\nExperience with Infrastructure as Code tools (Terraform or CloudFormation) is a strong plus.\r\nStrong understanding of ETL/ELT principles , data modeling (star schema, slowly changing dimensions), and data quality management.\r\nExperience troubleshooting production data issues, including debugging race conditions, performance bottlenecks, and data inconsistencies.\r\nExcellent communication skills, attention to detail, and a proactive, team-oriented mindset.\r\nNice to have\r\nExperience with marketing and mobile attribution data sources (e.g., Adjust, Singular, AppsFlyer).\r\nFamiliarity with Looker or other BI visualization tools.\r\nExperience with ETL/Reverse ETL platforms (Hevo, Hightouch, Census).\r\nKnowledge of dbt or Great Expectations.\r\nCertifications in Snowflake, AWS, or Airflow will be a plus.\r\nResponsibilities\r\nDesign, develop, and maintain scalable ETL/ELT pipelines using Python, Apache Airflow (MWAA), and Snowflake.\r\nBuild data ingestion workflows from multiple sources, including AWS S3, Aurora MySQL, MongoDB, BigQuery, and third-party APIs (Singular, AppsFlyer, Google Ads, Facebook Ads, TikTok Ads).\r\nImplement processes for data validation, cleansing, and deduplication to ensure high accuracy and reliability.\r\nApply a declarative and idempotent approach to pipeline design to support reliable backfills and recovery.\r\nSet up monitoring, logging, and alerting systems (e.g., Slack notifications) for data operations and pipeline performance tracking.\r\nCollaborate with Data, Product, and Engineering teams to translate business needs into reliable technical solutions.\r\nContinuously optimize data workflows and SQL queries for performance and cost efficiency.\r\nEnsure adherence to data quality and governance standards across all processes.\r\nWe offer\r\nRemote work in an international company in the USA.\r\nCompetitive salary in the USD.\r\nFlexible working hours to help you manage your work/life balance.\r\nFully remote service/support\r\nCareer and professional growth.\r\nWarm and friendly attitude to every specialist.\r\nJ-18808-Ljbffr","datePosted":"2026-04-12T04:46:10.290Z","dateModified":"2026-04-12T04:46:10.290Z","hiringOrganization":{"@type":"Organization","name":"Ameware Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Snowflake","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9a0e6990d5fcf71772b74e1f"},"url":"https://jobsearcher.com/jobs/9a0e6990d5fcf71772b74e1f"}}