Find & Apply For Data Engineer Jobs in Sterling Heights, Michigan

Title:

Data Engineer /

Data Analytics Engineer Pay:

$58.65/hr on W2

Location:

Sterling Heights, MI 48312

Contract:

6+ Months Minimum Qualifications U.S. Citizenship required. Bachelor's degree in Data Science, Data Management, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline. 6+ years of experience in data engineering, business intelligence, analytics, or data management. Experience designing, building, and maintaining data pipelines, databases, and data warehouse solutions. Strong proficiency in SQL and data integration technologies. Experience with Power

BI, AWS/AWS

Redshift, MS Excel, and data modeling. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaborate effectively across cross-functional teams. Preferred Qualifications Master's degree in Mathematics, Statistics, Business, Engineering, Applied Sciences, Finance, Economics, Information Technology, or a related field. 10+ years of relevant professional experience. Experience with Dataiku, SSAS, Java, and Visual Basic. Familiarity with Agile methodologies, Scrum practices, Jira, and ServiceNow. Experience supporting engineering or manufacturing environments. Knowledge of structured problem-solving methodologies and process improvement frameworks. Experience developing business process models, process flows, and data governance frameworks. Experience with cloud-based data platforms and enterprise reporting solutions. About the Role As a Data Engineer, you will design, build, and maintain scalable data infrastructure that enables efficient access to trusted data across the organization. You will develop and optimize data pipelines, manage data storage environments, and ensure the quality, reliability, and accessibility of critical business information. You will work closely with analysts, data scientists, engineers, and business stakeholders to transform complex datasets into actionable insights, dashboards, and reports that support informed decision-making. This role requires strong technical expertise, analytical thinking, and the ability to solve complex data challenges in a collaborative environment. Responsibilities Design, develop, and maintain data infrastructure, including databases, data warehouses, and data integration solutions. Build and optimize data pipelines that collect, transform, and load data from multiple sources, including databases and APIs. Ensure data integrity, quality, consistency, and reliability through validation and quality control processes. Develop and maintain data models, reporting solutions, dashboards, and analytics tools. Manage and support cloud-based data environments, including AWS and related technologies. Collaborate with stakeholders to gather requirements and deliver scalable data solutions. Monitor system performance, troubleshoot issues, and perform regular maintenance activities. Document data architectures, business processes, process flows, and technical requirements. Support change management, configuration control, and impact analysis for enterprise data ecosystems. Identify opportunities to improve data accessibility, automation, and reporting capabilities. Translate complex datasets into actionable business insights and recommendations. Required Technical Skills SQL Power

BI AWS / AWS

Redshift Data Warehousing Data Modeling ETL / Data Pipelines MS Excel Reporting & Dashboard Development Data Quality Management Statistical Analysis Preferred Technical Skills Dataiku SSAS Java Visual Basic Jira ServiceNow Cloud Data Architecture Agile / Scrum Methodologies Additional Requirements Ability to pass background screening and employment verification checks. Strong verbal and written communication skills. Ability to manage multiple priorities in a fast-paced environment. Hybrid work schedule (3 days onsite, 2 days remote, subject to business needs). Alternate work schedule may include every other Friday off. U.S. Citizenship required.