{"schemaVersion":"jobsearcher.job.v1","id":"b9c2e5baf35b41e9954bd608","url":"https://jobsearcher.com/jobs/b9c2e5baf35b41e9954bd608","canonicalUrl":"https://jobsearcher.com/jobs/b9c2e5baf35b41e9954bd608","title":"Software Engineer – Mid Level | Ab Initio, Python, UNIX","description":"Software Engineer – Mid Level (Ab Initio, Python, UNIX).Key ResponsibilitiesBuild and maintain scalable batch and near real-time data pipelines.Develop ETL solutions using Ab Initio, Python, PySpark, SQL, and PL/SQL.Develop complex Ab Initio graphs and Psets and perform performance tuning.Integrate, cleanse, normalize, and transform data from multiple source systems.Review technical designs and translate solution blueprints into reusable, production-ready code.Work with Oracle, Teradata, BigQuery, and other enterprise data platforms.Support migration and modernization initiatives from legacy platforms to Google Cloud Platform (GCP).Build, schedule, orchestrate, and deploy data solutions through enterprise CI/CD pipelines.Participate in code reviews, testing, debugging, and production deployments.Support monitoring, incident resolution, root cause analysis, and production reliability.Collaborate with Product Owners, Architects, Engineers, and business stakeholders.Contribute to data quality, governance, metadata, and lineage initiatives.Required Qualifications4+ years of experience in Data Engineering, ETL Development, or related software engineering.4+ years of hands-on experience with Ab Initio, including complex graph development, Psets, and performance tuning.4+ years of strong SQL and PL/SQL experience.Strong experience with Oracle and/or Teradata.3+ years of professional Python development experience.Hands-on experience with PySpark and distributed data processing.3+ years of experience with ETL design, data warehousing, and data modeling.Strong UNIX/Linux shell scripting skills.Experience with CI/CD and Git-based development workflows.Strong analytical, troubleshooting, and communication skills.Preferred QualificationsExperience in the financial services or mortgage industry.Experience with Google Cloud Platform, BigQuery, and Dataplex.Experience migrating legacy ETL platforms to Spark/SQL or cloud-native solutions.Experience with AutoSys, Airflow, or Google Cloud Composer.Experience with Jenkins, Harness, and uDeploy.Experience with Informatica Data Quality.Knowledge of data governance, metadata management, classification, and lineage.Experience developing batch and near real-time/event-driven data pipelines.Experience supporting production applications, SLAs, incident response, and root cause analysis.Familiarity with GCP IAM, service accounts, monitoring, quotas, and cost controls.Experience using AI-assisted coding tools responsibly in software development.Technical EnvironmentData Engineering & ETL: Ab Initio, ETL, Oracle, Teradata, Data Warehousing, Data ModelingProgramming: Python, PySpark, PL/SQL, SQL, UNIX Shell ScriptingCloud: Google Cloud Platform, BigQuery, DataplexScheduling & Orchestration: AutoSys, Airflow, Google Cloud ComposerCI/CD & DevOps: Jenkins, Harness, uDeploy, Git, Automated TestingData Quality & Governance:Informatica Data Quality, Data Profiling, Metadata, Classification, LineageSkills: ab initio,google cloud,data,python,data quality,google,cloud,sql,etl,software","company":"Staffing Spot","rawCompany":"staffing spot","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-08-22T10:55:29.117Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer – Mid Level | Ab Initio, Python, UNIX","description":"Software Engineer – Mid Level (Ab Initio, Python, UNIX).Key ResponsibilitiesBuild and maintain scalable batch and near real-time data pipelines.Develop ETL solutions using Ab Initio, Python, PySpark, SQL, and PL/SQL.Develop complex Ab Initio graphs and Psets and perform performance tuning.Integrate, cleanse, normalize, and transform data from multiple source systems.Review technical designs and translate solution blueprints into reusable, production-ready code.Work with Oracle, Teradata, BigQuery, and other enterprise data platforms.Support migration and modernization initiatives from legacy platforms to Google Cloud Platform (GCP).Build, schedule, orchestrate, and deploy data solutions through enterprise CI/CD pipelines.Participate in code reviews, testing, debugging, and production deployments.Support monitoring, incident resolution, root cause analysis, and production reliability.Collaborate with Product Owners, Architects, Engineers, and business stakeholders.Contribute to data quality, governance, metadata, and lineage initiatives.Required Qualifications4+ years of experience in Data Engineering, ETL Development, or related software engineering.4+ years of hands-on experience with Ab Initio, including complex graph development, Psets, and performance tuning.4+ years of strong SQL and PL/SQL experience.Strong experience with Oracle and/or Teradata.3+ years of professional Python development experience.Hands-on experience with PySpark and distributed data processing.3+ years of experience with ETL design, data warehousing, and data modeling.Strong UNIX/Linux shell scripting skills.Experience with CI/CD and Git-based development workflows.Strong analytical, troubleshooting, and communication skills.Preferred QualificationsExperience in the financial services or mortgage industry.Experience with Google Cloud Platform, BigQuery, and Dataplex.Experience migrating legacy ETL platforms to Spark/SQL or cloud-native solutions.Experience with AutoSys, Airflow, or Google Cloud Composer.Experience with Jenkins, Harness, and uDeploy.Experience with Informatica Data Quality.Knowledge of data governance, metadata management, classification, and lineage.Experience developing batch and near real-time/event-driven data pipelines.Experience supporting production applications, SLAs, incident response, and root cause analysis.Familiarity with GCP IAM, service accounts, monitoring, quotas, and cost controls.Experience using AI-assisted coding tools responsibly in software development.Technical EnvironmentData Engineering & ETL: Ab Initio, ETL, Oracle, Teradata, Data Warehousing, Data ModelingProgramming: Python, PySpark, PL/SQL, SQL, UNIX Shell ScriptingCloud: Google Cloud Platform, BigQuery, DataplexScheduling & Orchestration: AutoSys, Airflow, Google Cloud ComposerCI/CD & DevOps: Jenkins, Harness, uDeploy, Git, Automated TestingData Quality & Governance:Informatica Data Quality, Data Profiling, Metadata, Classification, LineageSkills: ab initio,google cloud,data,python,data quality,google,cloud,sql,etl,software","datePosted":"2026-08-22T10:55:29.117Z","dateModified":"2026-08-22T10:55:29.117Z","hiringOrganization":{"@type":"Organization","name":"Staffing Spot","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b9c2e5baf35b41e9954bd608"},"url":"https://jobsearcher.com/jobs/b9c2e5baf35b41e9954bd608"}}