Job#: 3046112 Job Description: Role: Google Cloud Platform Data Engineer
Location: Hybrid - 4 days/week in our SE Michigan office
Duration: 12+ months
Description:The Data Engineer is responsible for designing, building, and maintaining scalable data solutions that support enterprise analytics, machine learning, and business intelligence initiatives. This role develops and optimizes data infrastructure, pipelines, and platforms that enable the efficient collection, storage, processing, and analysis of large volumes of structured and unstructured data.
The ideal candidate will possess strong expertise in cloud-based data engineering, data modeling, pipeline development, and modern data platforms, while partnering closely with business and technology stakeholders to deliver reliable, high-performing data solutions.
Key Responsibilities- Collaborate with business and technology stakeholders to understand current and future data requirements and translate them into scalable technical solutions.
- Design, develop, and maintain reliable, efficient, and scalable data infrastructure supporting data collection, storage, transformation, and analytics.
- Build and optimize end-to-end data pipelines, workflows, and data models to ensure accurate and efficient data processing.
- Design, implement, and support enterprise data platforms, including data warehouses, data lakes, and lakehouse architectures.
- Develop tools, frameworks, scripts, and automation capabilities that improve data engineering efficiency and reduce manual effort.
- Create and maintain robust data integration solutions across multiple systems and sources.
- Ensure data quality, performance, reliability, and scalability through monitoring, testing, and continuous optimization.
- Partner with data scientists, analysts, and application teams to support advanced analytics and machine learning initiatives.
- Identify opportunities to improve data architecture, pipeline performance, cost optimization, and operational efficiency.
- Implement data governance, security, and best practices across the data ecosystem.
Required QualificationsData Engineering & Cloud Platforms- 5+ years of professional experience in Data Engineering.
- Hands-on experience designing, developing, and maintaining modern data architectures and data platforms.
- Strong experience with Google Cloud Platform (Google Cloud Platform) services and cloud-native data solutions.
- Advanced knowledge of BigQuery for data warehousing, analytics, and large-scale data processing.
Programming & Automation- Strong proficiency in Python for data engineering, automation, and data pipeline development.
- Experience developing reusable frameworks, scripts, and automation solutions.
- Proficiency using GitHub and modern source control practices.
Data Architecture & Modeling- Experience designing and implementing:
- Data Warehouses
- Data Lakes
- Lakehouse Architectures
- Strong understanding of data modeling concepts and relational database design.
- Experience building scalable ETL/ELT pipelines and data integration solutions.
Analytics & Machine Learning Enablement- Experience supporting machine learning and advanced analytics workloads through scalable data solutions.
- Ability to work with large, complex datasets to support business intelligence and predictive analytics initiatives.
Preferred Qualifications- Experience with machine learning frameworks such as:
- Understanding of algorithms and statistical modeling techniques.
- Experience supporting data science and AI/ML initiatives.
- Exposure to real-time or streaming data architectures.
- Experience implementing enterprise-scale data governance and data quality solutions.
Required Skills- Google Cloud Platform (Google Cloud Platform)
- BigQuery
- Python
- GitHub
- Data Engineering
- ETL/ELT Development
- Data Pipelines
- Data Warehousing
- Data Lakes
- Data Modeling
- Machine Learning Enablement
Preferred Skills- TensorFlow
- Scikit-learn
- Algorithms
- Relational Databases
- Advanced Data Modeling
- Data Lakehouse Architecture
EducationRequired- Master's Degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical field
Preferred- Advanced certifications in Cloud, Data Engineering, Analytics, or Machine Learning
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
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