Sr Developer - Data Eng

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., * 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.

• 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

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.

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 .