Software Engineer

TEKsystems
$45.00 - $68.00 / hr
life insurance, sick time, 401(k), retirement plan
United States, Michigan, Dearborn
Feb 25, 2025
*NO SPONSORSHIP. NO C2C // MUST BE LOCAL TO METRO DETROIT* Description Within the Global Data Insight and Analytics (GDIA) Data Platform, an exciting opportunity awaits you on a team responsible for supporting some of the company's most visible initiatives. GDIA Data Platform is the business owner of the enterprise data lake for all global embedded modem, Smart Mobility experiment and Manufacturing and other enterprise data. The engineer will ensure that the platform delivers capabilities for ingesting, classifying , cataloguing, quality, data governance, and data availability in the data lake. Join us and challenge your Software Engineering expertise and analytical skills to help create a smart future. A platform software Engineer is a versatile developer with expertise in Java or Python and a strong foundation in cloud platforms to build and manage applications at scale. Generally, platform engineers fall into two categories: backend engineers, who design and implement microservices with robust APIs, and full-stack engineers, who deliver native UI/UX solutions, and ability to develop frameworks and service to enable an enterprise data platform. With a solid understanding of the SDLC and hands-on experience in Git and CI/CD, platform engineers can independently design, code, test, and release features to production efficiently. Skills Required: Technical Skills: Proficient in Java, angular or any javascript technology with experience in designing and deploying cloud-based data pipelines and microservices using GCP tools like BigQuery, Dataflow, and Dataproc. o Ability to leverage best in-class data platform technologies to deliver platform features, and design & orchestrate platform services to deliver data platform capabilities. o Service-Oriented Architecture and Microservices: Strong understanding of SOA, microservices, and their application within a cloud data platform context. Develop robust, scalable services using Java Spring Boot, Python, Angular, and GCP technologies. o Full-Stack Development: Knowledge of front-end and back-end technologies, enabling collaboration on data access and visualization layers (e.g., React, Node.js). o Design and develop RESTful APIs for seamless integration across platform services. o Implement robust unit and functional tests to maintain high standards of test coverage and quality. o Database Management: Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases, as well as columnar databases like BigQuery. o Data Governance and Security: Understanding of data governance frameworks and implementing RBAC, encryption, and data masking in cloud environments. o CI/CD and Automation: Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform, and automation frameworks. o Manage code changes with GitHub and troubleshoot and resolve application defects efficiently. o Ensure adherence to SDLC best practices, independently managing feature design, coding, testing, and production releases. o Problem-Solving: Strong analytical skills with the ability to troubleshoot complex data platform and microservices issues. o Certifications (Preferred): GCP Data Engineer, GCP Professional Cloud Key Responsibilities: * Design and Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP. * Service-Oriented Architecture (SOA) and Microservices: Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions. * Full-Stack Integration: Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration. * Data Ingestion and Integration: Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics. * GCP Data Solutions: Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs. * Data Governance and Security: Implement and manage data governance, access controls, and security best practices while leveraging GCP's native row- and column-level security features. * Performance Optimization: Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions. * Collaboration and Best Practices: Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering. * Automation and Reliability: Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency. Full Stack Back End Java Required Hybrid Position For now, it is 2 days a week But may increase in the future Skills Java, Javascript, cloud, Data Engineer, data pieplines, data optimization Top Skills Details Java,Javascript,cloud,Data Engineer,data pieplines,data optimization Additional Skills & Qualifications The ideal candidate should be well-versed in software development (Java or Python) and capable of performing data engineering tasks when necessary. Initially, the candidate will help other groups and products focus on cost optimization. Eventually, they will transition to the developer enablement side of the team, with responsibilities including developing platform capabilities, writing a compliance engine, developing data retention solutions, and optimizing overall platform performance. Experience Required: Minimum 5 years of experience as a Software Engineer Education Required: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. Master's degree or equivalent experience preferred Pay and Benefits The pay range for this position is $45.00 - $68.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Dearborn,MI. Application Deadline This position is anticipated to close on Mar 3, 2025. About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.