{"id":4269635,"url":"https://alion.io/job/ally-sr-developer-data-eng","title":"Sr Developer - Data Eng","company":{"id":669884,"name":"Ally","domain":"ally.com","url":"https://alion.io/company/ally-4","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Detroit, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":true,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"DataStage","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Agile","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon EC2","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS Lambda","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"CI/CD","optional":true},{"name":"Data Vault","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Git","optional":true},{"name":"IAM","optional":true},{"name":"Scrum","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-30T00:00:00Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-13T17:22:36Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"Ally and Your Career\nAlly Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We love this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?\nWork Schedule: Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.\n\nThe Opportunity\nWe are looking for a Senior Data Engineer to design, build, and optimize scalable data pipelines and data platforms supporting analytics, reporting, and AI/ML use cases. The ideal candidate has strong hands-on experience with Snowflake on AWS, Python-based ETL/ELT development, and enterprise scheduling/orchestration tools like Control-M, along with legacy/enterprise ETL experience in IBM DataStage (Good to Have). You will collaborate across engineering, analytics, and business teams in an Agile delivery model.\n\nThe Work Itself\nKey Responsibilities\nDesign, develop, and maintain end-to-end data pipelines (batch and near real-time) using Snowflake, AWS services, and Python.\nBuild and optimize data models in Snowflake (e.g., dimensional modeling, data vault, or curated data marts) for analytics and downstream consumption.\nDevelop and maintain ETL/ELT workflows using Python and IBM DataStage; migrate/modernize workloads where applicable.\nImplement job scheduling, monitoring, and operational support using Control-M (alerting, retries, SLAs, and dependency management).\nEnsure data quality, governance, lineage, and documentation standards are met across pipelines.\nPerform performance tuning and cost optimization across Snowflake and AWS (query optimization, clustering, warehouse sizing, storage management).\nPartner with stakeholders (Data Science/AI, BI, Product, and Platform teams) to enable data products and AI-ready datasets.\nParticipate in Agile ceremonies, contribute to estimation, planning, and sprint execution; follow SDLC and change management processes.\nTroubleshoot production issues, perform root-cause analysis, and drive preventative improvements.\nRequired Technical Skills\nSnowflake: Strong expertise in Snowflake architecture, SQL development, performance tuning, security/roles, data loading/unloading, and best practices.\n AWS: Hands-on experience with AWS data ecosystem (commonly S3, IAM, CloudWatch; plus services such as Glue, Lambda, EC2, Step Functions, EMR, or Kinesis as applicable).\n Python: Strong Python programming for data engineering (ETL/ELT frameworks, API ingestion, automation, unit testing, logging).\nControl-M: Experience designing and managing enterprise job scheduling, dependencies, calendars, SLAs, monitoring, and incident handling.\nSQL: Advanced SQL skills for transformations, optimization, and data validation across large datasets.\n CI/CD & Version Control: Experience with Git and CI/CD practices for data pipelines (tools may vary).\nOperational Excellence: Monitoring, alerting, and production support experience in a 24x7 or business-critical environment.\nGood to Have\nAI/ML exposure: Experience enabling AI/ML pipelines or feature datasets; familiarity with ML lifecycle concepts, feature engineering, or MLOps tools/processes.\nIBM DataStage: Solid experience building and maintaining DataStage jobs, handling complex transformations, and supporting production workloads.\nExperience with data governance/metadata tools and practices (catalog, lineage, data quality frameworks).\nExposure to streaming or event-driven architectures.\nRequired Soft Skills\nStrong experience working in Agile/Scrum teams and delivering within structured SDLC processes.\nExcellent communication skills (technical and non-technical) with the ability to explain complex data concepts clearly.\nProven ability to coordinate across multiple teams (Data Engineering, Data Science, DevOps, Security, BI, and business stakeholders).\nStrong ownership mindset, problem-solving ability, and attention to detail.\nQualifications (Typical)\nBachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).\n9+ years of data engineering experience, including enterprise-grade data platform delivery and production support.\nMinimum qualifications\n3+ years of experience\nBachelor's degree in Computer Science, Engineering or related field or equivalent \n\nHow We'll Have Your Back\nAlly's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. Our Total Rewards program includes industry-leading compensation and benefits plus additional incentives that are designed to meet your needs and those of your family so you can get the most out of your career and your life, including:\nTime Away: Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part-time status and management level).\nPlanning for the Future: plan for the near and long term with an industry-leading 401K retirement savings plan with matching and company contributions, student loan pay downs and 529 educational save up assistance programs, tuition reimbursement, employee stock purchase plan, and financial learning center and financial coach access.\nSupporting your Health & Well-being: flexible health and insurance options including medical, dental and vision, employee, spouse and child life insurance, short- and long-term disability, pre-tax Health Savings Account with employer contributions, Healthcare FSA, critical illness, accident & hospital indemnity insurance, and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially.\nBuilding a Family: adoption, surrogacy and fertility assistance as well as paid parental and caregiver leave, Dependent Day Care FSA back-up child and adult/elder care days and childcare discounts.\nWork-Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.\nOther Compensations: depending on the role for which you are considered, you may be eligible for travel allowances, relocation assistance, a signing bonus and/or equity.\nTo view more detailed information about Ally’s Total Rewards, please visit this link: https://www.ally.com/content/dam/pdf/corporate/ally-total-rewards-snapshot.pdf\n\nWho We Are:\nAlly Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions. We are relentlessly focused on \"Doing it Right\" and being a trusted financial-services provider to our consumer, commercial, and corporate customers. For more information, visit www.ally.com.\nAlly is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law.\nIn accordance with the Americans with Disabilities Act, if after review of the position expectations, you believe that you may need a medical accommodation to fulfill the duties of this role, please email  with details of your accommodation request.\n\nBase Pay Range\n$85,000.00 - $150,000.00\nAn individual's position in the range is determined by the specific role, the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. 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Docs: https://alion.io/developers"}}