Digital & Technology - Software Engineer Principal

Job Description: Title:Software Engineer PrincipalJob FamilyD&TBackground Package StandardHoursBill Rate:M-F 8am - 5pmRemote/Hybrid/In-personFully RemoteLocation:N/aWhy is this role open? (Coverage, looking for perm, etc.)Project has grown and more support is neededAssignment DurationPossible for extension?3/31/2026 - possible extensionPotential To Convert To FTE, If So, What RateNot at this timeOverview Of Work Environment/Client NuancesCandidate will be working mostly with the hiring manager and independentlyTeam OverviewResource's typical working day:Looking to resolve issues with the platform/dataWill be working in Python and making sure all aspects are working correctlyThere will be some development as well Moving from Postgres to SnowflakeUpdating scriptsLots of support and development tasksLicenses/Certificationsn/aMust Have SkillsExperience with databasesExperience with Python and moving dataFamiliarity with Lennox and UnixNice To Have SkillsFamiliarity with SnowflakeExposure to AI copilotFullstack experience Front end experienceYears Of Experience5-10 yearsEducationH.S. diploma with applicable experienceSoftware SkillsPythonExperience with PI toolsLennox and UnixSnowflakeAI toolsPre Screening QuestionsInterview Process:1 round virtual (Teams) with hiring managerRole OverviewWe are seeking a skilled Data Engineer to support our data quality program by developing robust Python-driven integrations. The ideal candidate will have deep experience with Apache Airflow and a strong command of Linux/Unix environments. In addition, exposure to cloud platforms like AWS or Azure will be a valuable asset.Key Responsibilities" Design and implement Python-based data integration pipelines using Apache Airflow." Collaborate with data quality teams to translate requirements into effective solutions." Maintain, monitor, and troubleshoot workflows on Linux/Unix systems." Optimize data processing for performance and scalability.Qualifications" Strong proficiency in Python." Hands-on experience with Apache Airflow (required)." Solid understanding of Linux/Unix operating systems." Experience with data quality tools and methodologies." Exposure to cloud platforms like AWS or Azure is a plus." Strong problem-solving abilities and attention to detail.