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Contract Aws Data Engineer Jobs in Michigan (NOW HIRING)

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Leverage AWS services-including Lambda, Glue, Redshift, Bedrock, and SageMaker-to build, optimize, and modernize data platform capabilities. * Understand where data originates and how it is used ...

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

Data Engineer - Senior Associate

Grand Rapids, MI · On-site

$77K - $202K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

Data Engineer - Manager

Grand Rapids, MI · On-site

... e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

... e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI · On-site

$124K - $280K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role will lead cross-functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure ... Data engineering exposure: pipelines, transformations, data modeling concepts, and working with ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

A minimum of 4 years of hands-on experience working with AWS cloud services * Comprehensive ... Software Engineering Foundation: Solid understanding of data structures, algorithms, and design ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

This role will lead cross-functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure ... Data engineering exposure: pipelines, transformations, data modeling concepts, and working with ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

A minimum of 4 years of hands-on experience working with AWS cloud services * Comprehensive ... Software Engineering Foundation: Solid understanding of data structures, algorithms, and design ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Integrates Databricks with cloud platforms (Azure, AWS, or GCP) and other enterprise systems ... Mentors junior data engineers and provide technical guidance on best practices, including MLOps ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Integrates Databricks with cloud platforms (Azure, AWS, or GCP) and other enterprise systems ... Mentors junior data engineers and provide technical guidance on best practices, including MLOps ...

Tech Tammina LLC

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

... experience with AWS. 5+ years' experience with data warehousing, data visualization Tools, data integrity. 5+ years using CMM/CMMI Level 3 methods and practices. 5+ years implemented agile ...

Corning

$104K - $125K/yr

AWS experience is preferred. - Strong communication and collaboration skills, with the ability to ... Data Engineering, technical subject-matter expertise, AI/ML, or future technical leadership ...

Deloitte

Forward Deployed Engineer- AWS

Detroit, MI · On-site

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

Corning

$104K - $125K/yr

AWS experience is strongly preferred. - Strong communication skills, with the ability to explain ... Data Engineering delivery. - Direct influence over data architecture, platform strategy ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently ... Programming: Fluency in programming languages such as Python and SQL, and familiarity with others ...

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Contract Aws Data Engineer information

What skills and qualifications are needed to thrive as a contract AWS data engineer?

To thrive as a Contract AWS Data Engineer, you need strong expertise in data engineering concepts, proficiency in SQL and Python, and a solid understanding of AWS cloud services like Redshift, S3, and Glue, often supported by a degree in computer science or a related field. Familiarity with data pipeline tools (e.g., Apache Airflow), ETL frameworks, and certifications such as AWS Certified Data Analytics are highly valued. Excellent problem-solving, communication, and adaptability help you collaborate effectively with teams and respond to changing project requirements. These skills and qualities ensure efficient data solutions, robust cloud infrastructure, and successful project delivery in dynamic environments.

What is a contract AWS data engineer?

Contract AWS Data Engineers are professionals hired on a temporary basis to design, develop, and manage data solutions using Amazon Web Services (AWS) technologies. They are responsible for building and maintaining data pipelines, processing large datasets, and ensuring data is secure and accessible. These engineers typically work with services like AWS Glue, Redshift, S3, and Lambda to enable efficient data workflows and analytics. Their contract roles allow organizations to scale their data engineering capabilities for specific projects or periods without long-term commitments.

What are common challenges faced by contract AWS data engineers, and how can they be addressed?

Contract AWS Data Engineers often encounter challenges such as quickly onboarding to new environments, understanding existing data architectures, and ensuring secure data handling within AWS services. Since contract roles require rapid integration, it's important to proactively communicate with team members and utilize available documentation to get up to speed. Additionally, keeping up-to-date with AWS best practices and automation tools can help streamline tasks and ensure compliance with security standards.
What are popular job titles related to Contract Aws Data Engineer jobs in Michigan? For Contract Aws Data Engineer jobs in Michigan, the most frequently searched job titles are:
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What cities in Michigan are hiring for Contract Aws Data Engineer jobs? Cities in Michigan with the most Contract Aws Data Engineer job openings:
Contract Aws Data Engineer jobs near you

Sr. Data Engineer

BISSELL Homecare

Grand Rapids, MI • On-site

$110K - $132K/yr

Full-time

Re-posted 20 days ago

Job description

Overview
The Sr. Data Engineer will serve as a key technical contributor responsible for the design, development, and ongoing support of the company's enterprise data platform and business intelligence ecosystem. This role enables the organization to extract hidden insights from vast amounts of data-leveraging scalable ETL pipelines and cloud technologies-to empower smarter, faster decision-making across the business.
This person will lead the development of scalable ETL/ELT pipelines using IICS (Informatica Intelligent Cloud Services) and AWS services (Lambda, Glue, Redshift, Bedrock, and SageMaker). Working closely with Data Engineers, BI analysts, business stakeholders, and external consultants, this person will architect and evolve the data lake-ensuring data quality and integrity are maintained at all times. The Sr. Data Engineer must be a strong problem solver and multitasker who thrives managing multiple concurrent projects, resolves production bugs under pressure, and translates complex business needs into scalable technical solutions.
Responsibilities
  • Lead the design and development of ETL/ELT code to integrate data into the enterprise data lake using IICSd (Informatica Intelligent Cloud Services) and AWS Glue; mentor junior engineers and contribute to platform architecture decisions with direction from the Data Engineering Lead.
  • Develop and maintain deep knowledge of the customer's business needs as they relate to data flows, data models, and BI consumption patterns.
  • Support the integration of AI and machine learning capabilities into data workflows using AWS Bedrock and SageMaker; ensure data pipelines are clean, well-structured, and optimized for analytics and AI consumption.
  • Design and implement AI-ready data pipelines-ensuring data is clean, well-structured, and optimized for downstream model training, inference, and analytics consumption.
  • Collaborate with business process owners, external consultants, and the broader business community to define, understand, and prioritize demand for process and solution changes that optimize business value and BI delivery efficiency.
  • Work closely with the Data Engineering Lead to estimate levels of effort for platform changes and partner with the business community to set priorities across multiple concurrent initiatives.
  • Own the full delivery lifecycle: participate in requirements gathering; prepare requirements documents, functional and technical designs, test scenarios, and deployment plans.
  • Manage and resolve all Data Engineering production support tickets; proactively triage and fix bugs in production pipelines, maintain SLAs, and report resolution progress to the business as requested.
  • Leverage AWS services-including Lambda, Glue, Redshift, Bedrock, and SageMaker-to build, optimize, and modernize data platform capabilities.
  • Understand where data originates and how it is used across most process areas; ensure data lineage, quality, and integrity are maintained throughout the data lifecycle.
  • Champion continuous improvement across data engineering practices, tooling, and documentation standards.
  • May be required to perform other duties as assigned.

Qualifications
REQUIRED EDUCATION AND EXPERIENCE
  • Education: or B.S. degree in Computer Information Systems, Computer Science, or related field.
  • Experience: 6+ years of hands-on experience in data engineering and ETL/ELT development is required. This includes strong proficiency in Python and GUI ETL tools such as IICS (Informatica Intelligent Cloud Services); and experience with AWS data services (Lambda, Glue, Redshift, Bedrock, SageMaker). Candidates with fewer than 6 years of relevant experience will not be considered.

REQUIRED SKILLS
  • Strong Python proficiency: ability to develop, analyze, debug, and optimize ETL pipelines, automation scripts, and data transformation logic end-to-end.
  • Hands-on experience with IICS (Informatica Intelligent Cloud Services) for enterprise-scale ETL/ELT development, maintenance, and CI/CD pipeline integration.
  • Deep AWS expertise across Lambda, Glue, Redshift, Bedrock, and SageMaker; ability to architect and deploy cloud-native data solutions.
  • Experience working with generative AI services such as AWS Bedrock or SageMaker to support AI-powered data workflows and analytics use cases.
  • Proven ability to resolve bugs and incidents in production data pipelines; conducts root-cause analysis and implements preventive controls to maintain SLA commitments.
  • Must be a strong multitasker with the ability to manage and lean into multiple concurrent projects simultaneously; quickly and accurately shifts attention among dynamic priorities, picks up new initiatives with minimal ramp-up time, and delivers results across workstreams without sacrificing quality or missing deadlines.
  • Strong critical-thinking and problem-solving skills: demonstrates a decisive, creative approach to difficult business and technical challenges; translates problems into practical, scalable solutions.
  • Ability to develop, analyze, and modify complex processes, data structures, and models.
  • Ability to create and maintain thorough documentation, including requirements, functional/technical designs, and user manuals.
  • Excellent listening, communication, interpersonal, and presentation skills; ability to work with and interview management, consultants, and subject matter experts to gather, identify, and document complex business requirements.
  • Organizational ability: demonstrates a systematic, process-oriented approach; excels at cutting through ambiguity and turning chaos into order across large, multi-stakeholder projects.
  • Client service skills: consistently provides attentive, courteous, and informed service; willing to listen and collaborate with customers; driven to deliver practical, sustainable results.
  • Quality control mindset: checks data pipelines, new data sets, and reports for errors related to both data accuracy and presentation.
  • Self-motivated, independent, and resourceful; able to plan, organize, and execute projects with minimal supervision.
  • Effective in a team-oriented environment; works collaboratively with data engineers, BI analysts, business stakeholders, and external consultants.
  • This position requires the ability to manage data flows, perform analysis, generate summary reports, and communicate by voice or data while connected from the office, at home, or while traveling by laptop or mobile device regularly without regard to time zone or day of the week.

WHAT'S NEXT, APPLY NOW!
BISSELL is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law.

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