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Temporary Amazon Data Engineer Jobs in Michigan (NOW HIRING)

Eccalon LLC

Database Engineer - onsite

Detroit, MI

We are seeking a highly skilled Database Engineer with deep expertise in Data Warehousing to design ... Cloud Data Warehouses: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse * On-Prem / MPP ...

Stefanini

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

Stefanini is looking for a Machine Learning Engineer (Dearborn, MI) For quick apply, please reach ... Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery. Workflow ...

Deloitte

Manager - Data Science / Data Lake

Detroit, MI · On-site

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services ...

Scalence L.L.C.

Data Product Manager

Dearborn, MI · On-site

The role involves bridging business, engineering, analytics, and data science teams to deliver ... Amazon Web Services, Microsoft Azure, or Google Cloud Platform. • Familiarity with SQL, Python ...

TEKsystems

Application Data Engineer

Lansing, MI

$45 - $65/hr

Skills Etl, Data, Sql, Scala Job Type & Location This is a Contract to Hire position based out of ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Ascentt

Senior Machine Learning Engineer

Ann Arbor, MI

$102K - $140K/yr

Senior Machine Learning Engineer Ascentt is building cutting-edge data analytics & AI/ML solutions ... using big data technologies like PySpark and cloud platforms like Amazon SageMaker. Key ...

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Temporary Amazon Data Engineer information

What is the difference between Temporary Amazon Data Engineer vs Temporary Google Data Engineer?

AspectTemporary Amazon Data EngineerTemporary Google Data Engineer
Required CredentialsBachelor's in CS, Data Engineering certifications, AWS knowledgeBachelor's in CS, Data Engineering certifications, GCP knowledge
Work EnvironmentAmazon's cloud infrastructure, e-commerce, and logisticsGoogle Cloud Platform, advertising, and tech services
Employer & Industry UsageAmazon, retail, logistics, cloud servicesGoogle, tech, advertising, cloud services
Search & Comparison IntentHigh overlap in cloud data roles, certifications, and industrySimilar roles in cloud data engineering, but with different platform focus

Temporary Amazon Data Engineers and Temporary Google Data Engineers share similar skills, certifications, and work environments focused on cloud data platforms. The main difference lies in the cloud platform expertise—AWS for Amazon and GCP for Google—making each role suited to specific employer ecosystems and industry applications.

What are some common challenges Temporary Amazon Data Engineers face when onboarding to new projects?

Temporary Amazon Data Engineers often encounter challenges such as quickly adapting to existing data infrastructure, understanding proprietary tools and processes, and integrating with teams that may already have established workflows. Since the role is time-limited, it’s crucial to rapidly build relationships with stakeholders and clarify project goals early on. Proactive communication and leveraging available documentation can help overcome these hurdles, ensuring a smoother transition and effective project delivery.

What are the key skills and qualifications needed to thrive as a Temporary Amazon Data Engineer, and why are they important?

To thrive as a Temporary Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with Amazon Web Services (AWS) data tools like Redshift, S3, Glue, and ETL pipelines, as well as relevant certifications like AWS Certified Data Analytics, is highly valuable. Excellent problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating on short-term projects and delivering timely results. These skills and qualifications ensure efficient data solutions, seamless integration with Amazon's platforms, and the ability to meet dynamic business needs in a fast-paced environment.

What does a Temporary Amazon Data Engineer do?

A Temporary Amazon Data Engineer is responsible for designing, building, and maintaining data pipelines and systems within Amazon on a short-term or contract basis. They work with large datasets, ensure data quality, and collaborate with other teams to support analytics and business intelligence initiatives. Their role includes tasks such as data extraction, transformation, and loading (ETL), as well as troubleshooting data issues and optimizing data workflows. Although the position is temporary, it often requires strong technical skills in SQL, Python, and cloud services like AWS. The work helps Amazon make data-driven decisions and improve its services.
What are the most commonly searched types of Amazon Data Engineer jobs in Michigan? The most popular types of Amazon Data Engineer jobs in Michigan are:
What are popular job titles related to Temporary Amazon Data Engineer jobs in Michigan? For Temporary Amazon Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Temporary Amazon Data Engineer jobs in Michigan look for? The top searched job categories for Temporary Amazon Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Temporary Amazon Data Engineer jobs? Cities in Michigan with the most Temporary Amazon Data Engineer job openings:
Temporary Amazon Data Engineer jobs near you
Senior Systems Engineer (AWS Data Engineer)

Senior Systems Engineer (AWS Data Engineer)

Syms Strategic Group, LLC (SSG)

Ann Arbor, MI • On-site

$85K - $116K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Syms Strategic Group (SSG) is seeking a talented Senior Systems Engineer (Amazon Web Services (AWS) Data Engineer)
Location: Remote
Department: Veterans Affairs (VA)
Type: Full Time
Min. Experience: Experienced
Security Clearance Level: Public Trust (MBI)
Salary Range: $85,389 - $116,975
If you have previously applied to Syms Strategic Group (SSG), there is no need to reapply. Applications are still under review.
Military Veterans are highly encouraged to apply!
Essential Duties and Responsibilities
  • Lead the next phase of the healthcare data platform modernization
  • Implement the evolution from a Microsoft SQL eXtensible Markup Language (MSSQL XML) object store toward a scalable, cloud-native AWS data architecture that enables business stakeholders and analysts to run performant, SQL-based reports and queries against healthcare data seamlessly
  • Evaluate and decide the right AWS data strategy for the platform
  • Evaluate and recommend the optimal AWS-native data storage and query architecture for the XML object store data, assessing options such as S3 + Athena, Aurora, DynamoDB, Redshift, and OpenSearch based on query patterns, reporting needs, cost, and scalability
  • Design and build the reporting and query layer that allows business stakeholders and non-technical users to run relational SQL queries against healthcare data using familiar tooling
  • Architect the migration path for XML object store data from MSSQL into the target AWS platform, defining storage formats, partitioning strategies, and data organization for optimal query performance
  • Build and maintain AWS data catalog, schemas, and metadata management so that object store data is discoverable and queryable by business users
  • Optimize query performance and cost across chose AWS services - partitioning, compression, file formats, and query pattern tuning
  • Work directly with business stakeholders and analysts to understand reporting requirements and translate them into durable, performant data models and query patterns
  • Collaborate with back-end C#/.Net engineer to ensure data flows cleanly from Electronic Data Interchange (EDI) processing pipelines into the new data layer
  • Implement and maintain CI/CD pipelines for data infrastructure using AWS-native tooling (CodePipeline, CodeBuild, and CodeDeploy)
  • Apply Infrastructure as Code (IaC) practices using AWS Cloud Development Kit (CDK), CloudFormation, or Terraform
  • Document architecture decisions, data flows, and data dictionaries clearly for both technical and non-technical audiences
Required Skills and Experience
  • 8+ years' experience in software or data engineering with a strong AWS focus
  • Proven experience architecting and executing cloud data platform migrations in production enterprise or healthcare environments
  • Track record of evaluating and selecting AWS data services to meet business reporting and query requirements
  • Experience delivering reporting or analytics solutions that serve non-technical business users
  • Deep hands-on AWS experience across data-oriented services - S3, Athena, Glue, Aurora, DynamoDB, Redshift, OpenSearch, Lambda, IAM, and Cloudwatch
  • Strong SQL skills with the ability to design relational query layers over semi-structured or non-relational data (XML, JSON)
  • Experience working with XML-heavy data stores - parsing, querying, and transforming XML at scale
  • An ability to evaluate trade-offs across AWS data services and make architecture recommendations based on cost, performance, and business requirements
  • Familiarity with AWS analytics and reporting services, including Athena, QuickSight, RedShift, or equivalent Business Intelligence (BI) tooling
  • Proficiency with Git and GitHub - branching strategies, pull requests, and collaborative workflows
  • Familiarity with CI/CD practices and AWS-native tooling (CodePipeline, CodeBuild, and CodeDeploy)
  • IaC experience (AWS CDK, CloudFormation, or Terraform)
  • Strong ability to communicate technical architecture decisions and trade-offs to non-technical stakeholders
  • Experience gathering and translating business reporting requirements into technical data models
  • Comfort driving ambiguous architecture decisions to resolutions with limited direction
  • Experience with Agile methodologies (Scrum, Kanban) and JIRA
  • Strong documentation habits - architecture diagrams, data dictionaries, migration runbooks
Professional CertificationsNon but AWS certifications are a bonusYears of Professional Experiencen/aDesired experienceElectronic Data Interchange X.12 (EDI) Medical Claims
  • X.12, Medical Claims (837, 835, 277CA, etc), Health Level (HL7), Fast Healthcare Interoperability Resources (FHIR)
Familiarity with C#/.Net back-end services for integration touchpoints
Experience with Entity Framework migration or deprecation projects
Experience with healthcare payer/Pharmacy Benefit Management (PBM) systems, clearinghouses, or pharmacy operations
Knowledge of HIPAA compliance requirements in cloud data architectureFormal EducationBachelor's degree or higher in Computer Science, Engineering, or a related technical discipline; equivalent practical experience consideredCitizenship RequirementU.S. Citizenship required for this specific opportunitySecurity Clearance RequirementsMust possess or qualify for a Public Trust (MBI)CRITICAL NOTES:
  1. SSG will not make assumptions regarding your qualifications. Your answers to the mandatory screening questions must be supported by the information on your resume. Applications with inconsistencies will not be considered.
  2. Recruiters or Third parties will not be considered.
  3. This is a 100% U.S. based remote position. However, candidates from CA, CO, IL, MN, NJ, NY, OR, or WA will not be considered.
  4. This is a W-2 position
  5. All interviews will be conducted on Microsoft Teams with your camera on; there will be no exceptions
  6. As part of our screening process, you will be requested to provide a link to your LinkedIn profile

U.S Citizenship is required for this specific opportunity. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information and be able to obtain a government-granted security clearance. Individuals may also be subject to a background investigation including, but not limited to criminal history, employment and education verification, drug testing, and creditworthiness.
Syms Strategic Group, LLC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, marital status, disability, veteran status, sexual orientation, or genetic information.

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