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Contract Python Jobs in Inkster, MI (NOW HIRING)

Voto Consulting LLC

PLM Consultant

Dearborn, MI

Dearborn, MI Mode: 4 days in office a week Duration: 12 months Contract Visas: No H1B Interview ... Familiarity with AI/ML frameworks (e.g., Python-based libraries like Scikit-learn or Pandas, or LLM ...

Saransh Inc

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99.60K - $135.20K/yr

W2 Contract Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Key Responsibilities: · Design and implement scalable data ...

Epitec

Systems Engineer

Southfield, MI · On-site

$120.35K/yr

Type: Contract * Job #103680 Employer: Epitec, Inc. Position: Systems Engineer (Job Code: 1390 ... Splunk Tool, JIRA, Six Sigma, AutoCAD, LINUX/Unix, AUTOSAR, Java, Python, ADAS software systems ...

Dataspace

Full Stack Developer (229)

Detroit, MI

$55 - $70/hr

Contract / Contract to Hire DURATION: Long term ( 6 Months+) REQUIRED: Applicants must be very strong in: * Javascript and front end development (Angular, HTML, CSS) * Python web frameworks (Django)

Guru Schools

Full Stack Developer

Troy, MI · On-site

Contract / Long-Term Overview: Looking for a Full Stack Developer with strong experience in ... Programming proficiency in Golang, Python, Node.js, Angular/Vue, Java. * Familiarity with data ...

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How much do contract python jobs pay per hour?

As of May 30, 2026, the average hourly pay for contract python in Inkster, MI is $54.86, according to ZipRecruiter salary data. Most workers in this role earn between $45.24 and $62.31 per hour, depending on experience, location, and employer.

What is a Contract Python job?

A Contract Python job is a temporary or project-based position where a developer is hired to work on Python-related tasks for a specific duration. These roles are often found in industries like software development, data science, and automation. Contract Python jobs can be freelance, short-term, or long-term, depending on the employer's needs. They offer flexibility but may not include benefits like full-time employment.

What are the key skills and qualifications needed to thrive in the Contract Python position, and why are they important?

To thrive as a Contract Python Developer, you need strong proficiency in Python programming, experience with frameworks such as Django or Flask, and a solid understanding of software development best practices. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and relevant certifications such as AWS Certified Developer or Microsoft Certified: Azure Developer Associate are often advantageous. Excellent problem-solving skills, adaptability, and effective communication are essential soft skills in this role. These capabilities ensure you can deliver high-quality, maintainable code on time while collaborating effectively with diverse teams in dynamic, project-based environments.

What kinds of projects and responsibilities can I expect as a Contract Python Developer?

As a Contract Python Developer, you can expect to work on a variety of projects ranging from web application development and API integrations to data processing, automation scripts, and machine learning tasks. Your daily responsibilities may include writing and testing code, debugging issues, collaborating with designers or front-end developers, and participating in code reviews. You'll often interact closely with project managers and clients to define requirements and provide technical solutions. The role offers exposure to different industries and technologies, making it a great opportunity to deepen your expertise and expand your professional network.
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What cities near Inkster, MI are hiring for Contract Python jobs? Cities near Inkster, MI with the most Contract Python job openings:
Contract Python jobs near you

Google Cloud Platform Data Engineer

Reliable Software Resources

Detroit, MI • Remote

$104.80K - $125.80K/yr

Other

Posted 2 days ago

Job description

Job Role: Google Cloud Platform Data Engineer

Location: Detroit, MI

Hire-type: Contract

Experience: 3–6 years  |  Detroit, MI (mandatory) — Remote up to 50% travel 

Python

Google Cloud Platform Native

BigQuery

ETL / ELT Pipelines

Data Modeling

SQL

ABOUT THE ROLE

As a Google Cloud Platform Data Engineer at DataFactZ you will design, build, and maintain cloud-native data pipelines and data warehouse solutions on Google Cloud. Working closely with data architects and analytics teams, you will deliver reliable ingestion, transformation, and serving pipelines that power enterprise reporting, analytics, and data products — handling structured and semi-structured data at scale using Python and Google Cloud Platform-native tooling.

 

KEY RESPONSIBILITIES

•      Build and maintain Python-based ETL/ELT pipelines for ingesting and transforming structured (BigQuery, Cloud SQL, Spanner) and semi-structured (JSON, Avro, Parquet, CSV) data on Google Cloud Platform

•      Develop batch and streaming data pipelines using Dataflow (Apache Beam) and Dataproc (PySpark) for large-scale data processing workloads

•      Implement data models in BigQuery including star schema, snowflake, and flat wide-table designs with appropriate partitioning and clustering

•      Write complex BigQuery SQL transformations, stored procedures, and scheduled queries for data warehouse population and aggregation layers

•      Build and maintain dbt models for transformation layer development, testing, and documentation within BigQuery

•      Orchestrate multi-step pipeline workflows using Cloud Composer (Airflow), handling dependencies, retries, and alerting

•      Ingest data from diverse sources including APIs, relational databases (Cloud SQL, AlloyDB), flat files, and streaming topics (Pub/Sub)

•      Monitor pipeline health, optimize query performance and costs in BigQuery, debug failures, and support production deployments

•      Write unit tests, maintain technical documentation, and participate in architecture and code reviews

 

REQUIRED SKILLS

•      Python: Strong proficiency for data pipeline development including pandas, PySpark, Apache Beam, and Google Cloud Platform client library usage

•      Google Cloud Platform services: Hands-on experience with BigQuery, Cloud Storage, Dataflow or Dataproc, Pub/Sub, Cloud Composer, and Cloud SQL

•      Data modeling: Practical experience implementing dimensional models (star/snowflake schema) and understanding of data warehousing concepts

•      SQL: Strong BigQuery SQL skills including window functions, nested/repeated fields, partitioning, clustering, and performance tuning

•      ETL/ELT pipelines: Experience building batch and streaming data pipelines for structured and semi-structured datasets

•      Data formats: Proficiency working with Parquet, Avro, JSON, and CSV in distributed processing contexts

•      Version control: Proficient with Git and collaborative development workflows

 

PREFERRED

•      Google Cloud Platform Professional Data Engineer certification

•      Experience with dbt for BigQuery transformation layer development

•      Familiarity with data quality frameworks: Great Expectations, dbt tests, or custom validation pipelines

•      Exposure to data catalog and lineage tooling: Google Cloud Platform Dataplex or Data Catalog

•      Experience with analytical or BI tooling: Looker, Looker Studio, or Tableau connected to BigQuery

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