{"id":1474151,"url":"https://alion.io/job/fis-senior-data-engineer","title":"Senior Data Engineer","company":{"id":4808,"name":"FIS","domain":"fisglobal.com","url":"https://alion.io/company/fis","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":50,"ghost_share":0.04,"stale_share":0.58,"repost_share":0.1,"time_to_fill_p50_days":21,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":106000,"max_usd":208000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":769},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"COBOL","optional":false},{"name":"DataStage","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"ETL/ELT","optional":true}],"status":"live","first_seen_at":"2026-09-29T18:08:19Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-09-30T20:54:15Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\nWe are FIS. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you FIS?\nSummary of This Role\nWe’re seeking a Senior Software Engineer to design, build, and maintain reliable data solutions across cloud and legacy platforms. The ideal candidate brings strong experience with SQL, DBT, Snowflake, Python, and Spark, along with familiarity integrating AWS services, IBM DataStage, and mainframe data-including copybooks.\nJob Description\nResponsibilities\nDesign, develop, and maintain scalable data pipelines and transformation workflows.\nBuild and optimize DBT models and Snowflake workloads, with attention to performance, data quality, and cost.\nDevelop data-processing applications and automation using Python and Apache Spark.\nIntegrate data from cloud, relational, and mainframe systems, including files defined by COBOL copybooks.\nSupport and modernize existing IBM DataStage workflows while enabling migration to cloud-based platforms.\nApply software engineering practices such as version control, code reviews, automated testing, CI/CD, and technical documentation.\nCollaborate with product, analytics, architecture, and operations teams to translate requirements into dependable data solutions.\nTroubleshoot production issues and improve pipeline reliability, observability, and operational support.\nWhat Are We Looking for in This Role?\nRequired Qualifications\nSignificant professional software engineering or data engineering 5+ years of experience.\nStrong SQL skills, including query development, optimization, and data modeling.\nHands-on experience with DBT and Snowflake.\nProficiency in Python and experience building data-processing solutions with Apache Spark.\nExperience with AWS data services and cloud-based application or pipeline deployment.\nKnowledge of IBM DataStage and enterprise data integration patterns.\nFamiliarity with mainframe data formats and the ability to interpret COBOL copybooks.\nStrong problem-solving, communication, and collaboration skills.\nPreferred Qualifications\nExperience modernizing legacy data platforms or migrating workloads to the cloud.\nKnowledge of data warehousing, dimensional modeling, and data governance.\nExperience with orchestration, monitoring, and automated data-quality testing.\nFamiliarity with Agile delivery and CI/CD practices.\nGood understanding of data lake concepts, ETL patterns, data modeling, distributed data processing.\nExperience developing and supporting production data pipelines\nWhat we offer you:\nA career at FIS is more than just a job. It’s the change to shape the future of fintech. At FIS, we offer you:\nA voice in the future of fintech\nAlways-on learning and development\nCollaborative work environment\nOpportunities to give back\nCompetitive salary and benefits\nPrivacy Statement\nFIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.\nEEOC Statement\nFIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here\nFor positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.\nSourcing Model\nRecruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.","description_format":"text","description_chars":4613,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-09-29T18:08:19Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":21,"reasons":["conf:8","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/fis-senior-data-engineer","json_url":"https://alion.io/job/fis-senior-data-engineer.json","meta":{"generated_at":"2026-10-01T09:37:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":303,"day_limit":5000,"remaining_today":4697,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}