Senior Data Engineer

Position Title: Senior Data Engineer Location: Remote Duration: Long Term Contract to Hire (w2 role) Note: Only W2 profiles can be entertained, no C2C profiles will be considered. If a C2C profile applies, they will be backlisted from further application) Must Have Skills: • Python • RedShift • SQL • AWS - CloudFormation • AWS - Dynamo • AWS - Lambda • AWS - S3 • AWS - SNS/SQS • AWS Step Function • BI Tool • Gen AI Preferred Skills: • BS degree in Engineering, Computer Science, or related field / equivalent experience • 10+ years of general experience in quality testing • Strong SQL skills and experience writing complex queries to analyze, validate, and troubleshoot data across multiple systems. • Professional experience in data engineering, analytics engineering, data quality, software Engineering, or a related field with a strong focus on data investigation and validation. • Exposure to AI-assisted development tools (e.g., GitHub Copilot, Claude) and hands-on experience applying to build and deploy AI agents that automate data pipelines, write code and testing workflows. • Experience working with cloud data platforms and tools such as AWS, Redshift, Athena, Snowflake, Databricks, or similar technologies. • Proficiency in Python or type script language used for automation, testing, and data analysis. • Experience designing or maintaining data quality checks, monitoring, alerting, or observability processes for production datasets or pipelines. • Strong understanding of data structures, data modeling, transformations, lineage, and common sources of data defects. • Ability to investigate issues across systems, apply business logic, and translate ambiguous problems into structured analysis and action. • Experience working with BI/reporting tools such as Tableau, QuickSight, or similar platforms is helpful. “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”