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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** KAnand Corporation - **Location:** Detroit, MI, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Unit Testing, Big Data, Cluster Analysis, Software Documentation, Continuous Integration, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mart, Data Vault Modeling, Database Development, IBM InfoSphere DataStage, DevOps, Dimensional Modeling, Identity and Access Management, Job Scheduling, Python (Programming Language), Metadata, Performance Tuning, Scrum Methodology, Systems Development Life Cycle, Query Optimization, SQL Databases, Data Streaming, Workflow Management Systems, Data Logging, Data Storage Management, Feature Engineering, Sql Optimization, Snowflake, Git, Event Driven Architecture, Information Technology, Data Management, Machine Learning Operations, Cloudwatch, Software Version Control, Data Pipelines, Control M - **Published:** August 27, 2026 - **Apply:** https://www.dice.com/job-detail/7aad20e4-4d20-42c6-a605-eba6e7b23d7a ## About the Role * 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. ## Description 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. 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)