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Weekend Amazon Data Engineer Jobs in Michigan (NOW HIRING)

Eccalon LLC

Database Engineer - onsite

Detroit, MI · On-site

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 ...

Wwwinc

Lead Azure Data Engineer

Rockford, MI · Remote

$91K - $120K/yr

The Lead Azure Data Engineer operates as a technology expert and architect responsible for the ... Provides 24-hour on call support, including evenings and weekends * Performs other duties as ...

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 ...

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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All JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Michigan

Weekend Amazon Data Engineer information

What are Weekend Amazon Data Engineers?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

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

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

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 Weekend Amazon Data Engineer jobs in Michigan? For Weekend Amazon Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Michigan look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Weekend Amazon Data Engineer jobs? Cities in Michigan with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you
Senior Systems Engineer (AWS Data Engineer)

Senior Systems Engineer (AWS Data Engineer)

Syms Strategic Group, LLC (SSG)

Detroit, MI • On-site

$85K - $116K/yr

Full-time

Posted 5 days ago

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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