Akkodis

GCP Data Engineer (7 YR+/GCP/Python)

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer in Dearborn, MI, offering a 12-month contract at $60-$65/hour. Requires 7+ years in data engineering, proficiency in GCP, Python, SQL, and experience with data infrastructure and pipelines.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
520
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๐Ÿ—“๏ธ - Date
November 12, 2025
๐Ÿ•’ - Duration
More than 6 months
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๐Ÿ๏ธ - Location
Hybrid
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๐Ÿ“„ - Contract
W2 Contractor
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๐Ÿ”’ - Security
Yes
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๐Ÿ“ - Location detailed
Dearborn, MI
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๐Ÿง  - Skills detailed
#Data Lakehouse #Data Lake #"ETL (Extract #Transform #Load)" #C++ #SQL (Structured Query Language) #Security #Scala #Storage #Python #Data Engineering #GCP (Google Cloud Platform) #BigQuery #Data Pipeline #GitHub #Data Architecture #Data Warehouse #Licensing #Documentation
Role description
Job Title: Data Engineer (GCP/Python) Job Location: Dearborn, MI (04 days onsite) Duration: 12 Months (Contract) Pay Range: $60-$65/hour on W2 (All-inclusive) The rate may be negotiable based on experience, education, geographic location, and other factors. Position Description: Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately Key Responsibilities: 1) Partner with business, technology, and finance stakeholders to deeply understand complex business processes and translate them into detailed, actionable technical requirements. 2) Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis 3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow 4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data 5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks 6) Ensure optimum performance and identify improvement opportunities 7) Lead identification and validation of appropriate source systems within our BigQuery environment, leveraging SME relationships and documenting findings for future reuse. 8) Collaborate with our data architect to ensure all delivered solutions align with enterprise warehouse standards and promote reusable components. 9) Create comprehensive documentation including business requirement documents, data dictionaries, and implementation guides that reduce knowledge transfer overhead Skills Required: GitHub, SQL, Python Skills Preferred: Financial Analysis, Tekton, Financial Planning, Manufacturing Processes, GCP Experience Required: Engineer 3 Exp: 7+ years Data Engineering work experience Experience Preferred: 0 Education Required: Bachelor's Degree Education Preferred: Additional Safety Training/Licensing/Personal Protection Requirements: Additional Information : Hybrid Role 4 days a week onsite Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visithttps://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: ยท The California Fair Chance Act ยท Los Angeles City Fair Chance Ordinance ยท Los Angeles County Fair Chance Ordinance for Employers ยท San Francisco Fair Chance Ordinance