Principal Lead Data Engineer : Local to Detroit MI : (Snowflake, AWS services, Python, Control-M,IBM DataStage, SQL, CI/CD. Operation)

Position : Principal Lead Data Engineer (Snowflake, AWS services, Python, Control-M,IBM DataStage, SQL, CI/CD. Operation) : CTH/FTE : Visa Independent : Local to Detroit MI : Only USA

Location : Detroit MI (Onsite & Local Needed) Type of Job : CTH/FTE Experience : 15+ Years 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. IBM DataStage: Solid experience building and maintaining DataStage jobs, handling complex transformations, and supporting production workloads. 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. 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.