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Amazon Computer Science Jobs in Detroit, MI (NOW HIRING)

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or ... Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse * On-Prem / MPP Databases: Teradata ...

Sr Databricks Data Engineer

Detroit, MI

$113K - $136K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Bachelor's degree or higher in computer science, information technology, software engineering ... OCI), Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * 2+ years of ...

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field ... Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ...

Data Engineer

Dearborn, MI

$105K - $127K/yr

You will have... * Master's degree or foreign equivalent degree in Computer Science, Software ... Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

You will have... * Master's degree or foreign equivalent degree in Computer Science, Software ... Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.

Bachelor's degree in computer science, cybersecurity, information technology, engineering, or ... Amazon Web Services, Microsoft Azure, Google Cloud Platform, and Oracle Cloud. * Developing client ...

Senior Manager - Cloud Architect

Detroit, MI

$64.75 - $86.25/hr

Bachelor's degree in computer science, cybersecurity, information technology, engineering, or ... Amazon Web Services, Microsoft Azure, Google Cloud Platform, and Oracle Cloud. * Overseeing the ...

Consultant - Cloud Architect

Detroit, MI · On-site

$58 - $79/hr

Bachelor's degree in computer science, cybersecurity, information technology, engineering, or ... Amazon Web Services, Microsoft Azure, Google Cloud Platform, and Oracle Cloud. * Developing client ...

Preferred ExperienceExperience with cloud platforms such as Amazon Web Services, Microsoft, or ... degree in Computer Science, Information Systems, Engineering, Business, Data Analytics, or a ...

Consultant - Cloud Architect

Detroit, MI

$64.75 - $86.25/hr

Bachelor's degree in computer science, cybersecurity, information technology, engineering, or ... across Amazon Web Services, Microsoft Azure, Google Cloud Platform, and Oracle Cloud.

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Showing results 1-20

Amazon Computer Science information

What are typical projects or tasks for a Computer Science professional working at Amazon?

Computer Science professionals at Amazon often work on designing and optimizing large-scale software systems, developing new features for customer-facing applications, or improving backend infrastructure. Daily tasks might include writing high-quality code, reviewing peers’ code, participating in design discussions, and collaborating with cross-functional teams such as product managers, UX designers, and data scientists. You may also be expected to contribute to ongoing process improvements and explore innovative solutions for performance and scalability. The work is fast-paced and encourages creative problem-solving, giving professionals the chance to impact millions of customers globally.

What is an Amazon Computer Science job?

An Amazon Computer Science job typically involves designing, developing, and optimizing software and systems that support the company's vast technology infrastructure. These roles can include software development, machine learning, data science, and cloud computing, among others. Employees work on scalable and innovative solutions for e-commerce, AWS, artificial intelligence, and logistics. Strong programming skills, problem-solving abilities, and knowledge of algorithms and data structures are essential.

What are the key skills and qualifications needed to thrive in the Amazon Computer Science position, and why are they important?

To thrive in an Amazon Computer Science role, you need a strong background in computer science principles, programming (such as Java, C++, or Python), and a relevant degree in computer science or a related field. Familiarity with Amazon Web Services (AWS), distributed systems, and possibly certifications like AWS Certified Solutions Architect are often beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate in Amazon's fast-paced, team-oriented environment. These competencies are vital for creating innovative solutions, scaling complex systems, and meeting the high-performance standards at Amazon.

What are the most commonly searched types of Amazon Computer Science jobs in Detroit, MI? The most popular types of Amazon Computer Science jobs in Detroit, MI are:
What are popular job titles related to Amazon Computer Science jobs in Detroit, MI? For Amazon Computer Science jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Amazon Computer Science jobs in Detroit, MI look for? The top searched job categories for Amazon Computer Science jobs in Detroit, MI are:
Infographic showing various Amazon Computer Science job openings in Detroit, MI as of May 2026, with employment types broken down into 19% Internship, 61% Full Time, 10% Temporary, and 10% Contract. Highlights an 82% In-person, 4% Hybrid, and 14% Remote job distribution.
Database Engineer - onsite

Database Engineer - onsite

Eccalon LLC

Detroit, MI • On-site

Full-time

Posted 17 days ago


Job description

Job Description

We are seeking a highly skilled Database Engineer with deep expertise in Data Warehousing to design, build, optimize, and maintain large-scale analytical databases that support reporting, business intelligence, and advanced analytics use cases. This role is responsible for ensuring data correctness, performance, scalability, and reliability across enterprise data warehouse platforms. The ideal candidate has strong experience with dimensional modeling, SQL performance tuning, data pipelines, and modern cloud or on-prem data warehousing technologies.

Responsibilities

  • Data Warehouse Architecture & Design
    • Design, implement, and maintain enterprise-grade data warehouse architectures
    • Develop and manage dimensional data models (star, snowflake, fact and dimension tables)
    • Translate business and analytical requirements into scalable data schemas
    • Support historical, slowly changing dimensions (SCD), and aggregations
  • Database Development & Optimization
    • Write and optimize complex SQL queries, views, materialized views, and stored procedures
    • Tune database performance for large-scale analytical workloads
    • Implement partitioning, indexing, clustering, and distribution strategies
    • Ensure high availability, backup, recovery, and disaster-recovery readiness
  • Data Integration & Pipelines
    • Support and optimize ELT/ETL pipelines feeding the data warehouse
    • Collaborate with data engineers to ensure reliable ingestion from source systems
    • Validate data quality, consistency, and integrity across datasets
    • Partner with analytics and BI teams to ensure data readiness and usability
  • Platform Operations & Governance
    • Monitor and maintain warehouse performance, cost, and usage efficiency
    • Implement data access controls, security policies, and governance standards
    • Maintain documentation for schemas, metrics, and data definitions
    • Support audit, compliance, and data lineage requirements
  • Collaboration & Leadership
    • Work closely with analytics, product, finance, and business stakeholders
    • Provide guidance on best practices for querying and modeling
    • Contribute to architectural discussions and platform evolution
    • Mentor junior database or data engineers when applicable

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
  • 5+ years of experience as a Database Engineer, Data Engineer, or Data Warehouse Engineer
  • Expert-level SQL skills with experience handling large datasets
  • Strong experience designing and operating data warehouses for analytics and BI
  • Cloud Data Warehouses: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse
  • On-Prem / MPP Databases: Teradata, Oracle, SQL Server, Vertica, Greenplum
  • OLAP / Analytics Concepts: Columnar storage, MPP architectures, query optimization
  • Strong knowledge of data modeling methodologies (Kimball, Inmon)
  • Experience with ELT/ETL tools and orchestration frameworks
  • Understanding of data partitioning, compression, and workload management
  • Familiarity with BI tools (Tableau, Power BI, Looker, etc.)
  • Experience with cloud infrastructure, cost optimization, and scaling strategies
  • Exposure to metadata management, data catalogs, and governance tools

Eccalon logo

About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017