Sr Developer - Data Eng at Ally

Job description

Ally and Your Career Ally 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? Work 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. The Opportunity We 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. The Work Itself Key Responsibilities Design, develop, and maintain end-to-end data pipelines (batch and near real-time) using Snowflake, AWS services, and Python. Build and optimize data models in Snowflake (e.g., dimensional modeling, data vault, or curated data marts) for analytics and downstream consumption. Develop and maintain ETL/ELT workflows using Python and IBM DataStage; migrate/modernize workloads where applicable. Implement job scheduling, monitoring, and operational support using Control-M (alerting, retries, SLAs, and dependency management). Ensure data quality, governance, lineage, and documentation standards are met across pipelines. Perform performance tuning and cost optimization across Snowflake and AWS (query optimization, clustering, warehouse sizing, storage management). Partner with stakeholders (Data Science/AI, BI, Product, and Platform teams) to enable data products and AI-ready datasets. Participate in Agile ceremonies, contribute to estimation, planning, and sprint execution; follow SDLC and change management processes. Troubleshoot production issues, perform root-cause analysis, and drive preventative improvements. Required Technical Skills Snowflake: Strong expertise in Snowflake architecture, SQL development, performance tuning, security/roles, data loading/unloading, and best practices. 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). Python: Strong Python programming for data engineering (ETL/ELT frameworks, API ingestion, automation, unit testing, logging). Control-M: Experience designing and managing enterprise job scheduling, dependencies, calendars, SLAs, monitoring, and incident handling. SQL: Advanced SQL skills for transformations, optimization, and data validation across large datasets. CI/CD & Version Control: Experience with Git and CI/CD practices for data pipelines (tools may vary). Operational Excellence: Monitoring, alerting, and production support experience in a 24x7 or business-critical environment. Good to Have AI/ML exposure: Experience enabling AI/ML pipelines or feature datasets; familiarity with ML lifecycle concepts, feature engineering, or MLOps tools/processes. IBM DataStage: Solid experience building and maintaining DataStage jobs, handling complex transformations, and supporting production workloads. Experience with data governance/metadata tools and practices (catalog, lineage, data quality frameworks). Exposure to streaming or event-driven architectures. Required Soft Skills Strong experience working in Agile/Scrum teams and delivering within structured SDLC processes. Excellent communication skills (technical and non-technical) with the ability to explain complex data concepts clearly. Proven ability to coordinate across multiple teams (Data Engineering, Data Science, DevOps, Security, BI, and business stakeholders). Strong ownership mindset, problem-solving ability, and attention to detail. Qualifications (Typical) Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). 9 years of data engineering experience, including enterprise-grade data platform delivery and production support. Minimum qualifications 3 years of experience Bachelor s degree in Computer Science, Engineering or related field or equivalent How We ll Have Your Back Ally 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: Time 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). Planning 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. Supporting 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. Building 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. Work-Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs. Other 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. To view more detailed information about Ally’s Total Rewards, please visit this link: ally.com Who We Are : Ally 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 . Ally 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. In 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 hrpolicy ally.com with details of your accommodation request. Base Pay Range $85,000.00 - $150,000.00 An 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. We review internal pay, the competitive market, and business environment prior to extending an offer. Incentive Compensation: This position is eligible to participate in our annual incentive plan.

Requirements

Must-haves

Ally and Your Career
Design, develop, and maintain end-to-end data pipelines (batch and near real-time) using Snowflake, AWS services, and Python.
Build and optimize data models in Snowflake (e.g., dimensional modeling, data vault, or curated data marts) for analytics and downstream consumption.
Develop and maintain ETL/ELT workflows using Python and IBM DataStage; migrate/modernize workloads where applicable.
Implement job scheduling, monitoring, and operational support using Control-M (alerting, retries, SLAs, and dependency management).
Ensure data quality, governance, lineage, and documentation standards are met across pipelines.
Perform performance tuning and cost optimization across Snowflake and AWS (query optimization, clustering, warehouse sizing, storage management).
Partner with stakeholders (Data Science/AI, BI, Product, and Platform teams) to enable data products and AI-ready datasets.
Participate in Agile ceremonies, contribute to estimation, planning, and sprint execution; follow SDLC and change management processes.
Troubleshoot production issues, perform root-cause analysis, and drive preventative improvements.
Required Technical Skills
Snowflake: Strong expertise in Snowflake architecture, SQL development, performance tuning, security/roles, data loading/unloading, and best practices.
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).
Python: Strong Python programming for data engineering (ETL/ELT frameworks, API ingestion, automation, unit testing, logging).
Control-M: Experience designing and managing enterprise job scheduling, dependencies, calendars, SLAs, monitoring, and incident handling.
SQL: Advanced SQL skills for transformations, optimization, and data validation across large datasets.
CI/CD & Version Control: Experience with Git and CI/CD practices for data pipelines (tools may vary).
Operational Excellence: Monitoring, alerting, and production support experience in a 24x7 or business-critical environment.
Good to Have
AI/ML exposure: Experience enabling AI/ML pipelines or feature datasets; familiarity with ML lifecycle concepts, feature engineering, or MLOps tools/processes.
IBM DataStage: Solid experience building and maintaining DataStage jobs, handling complex transformations, and supporting production workloads.
Experience with data governance/metadata tools and practices (catalog, lineage, data quality frameworks).
Exposure to streaming or event-driven architectures.

Nice-to-haves

Other 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.

Application prep

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Keywords to mirror

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Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off