Data Engineer

S4tinc

Wixom (MI)

Hybrid

USD 90,000 - 120,000

Full time

14 days+

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Job summary

S4 Technologies Inc. is seeking a highly skilled Data Engineer to apply theoretical and practical data engineering knowledge across data architecture, pipelines, and analytics. The role focuses on scalable pipelines, ETL/ELT, data warehousing, and governance to support enterprise analytics.

You will work with SQL/NoSQL databases, build data lakes and warehouses, and collaborate with analysts, scientists, and stakeholders on cloud-based platforms to deliver reliable data solutions.

Qualifications

  • Bachelor's degree or higher in CS/IT/Engineering or related field.
  • Strong knowledge of data structures, algorithms, and database systems.
  • Experience with SQL and database technologies.
  • Experience in building data pipelines and ETL processes.
  • Understanding of SDLC.

Responsibilities

  • Design scalable data pipelines to process large volumes of structured and unstructured data.
  • Develop and maintain ETL/ELT processes from multiple data sources.
  • Apply data modeling, warehousing, and database design principles.
  • Build data integration solutions across enterprise systems, APIs, and cloud platforms.
  • Work with SQL and NoSQL databases for storage and retrieval.
  • Develop and manage data lakes and data warehouses for analytics and reporting.
  • Ensure data quality, integrity, and governance through validation and monitoring.
  • Optimize data processing performance and resolve data-related issues.
  • Collaborate with data analysts, data scientists, and business stakeholders.
  • Utilize big data technologies and distributed computing frameworks for large-scale processing.
  • Prepare and maintain technical documentation related to data architecture and workflows.

Skills

Data modeling
SQL databases
NoSQL databases
ETL/ELT processes
SDLC
Data pipelines
Big data technologies
Python/Java/Scala
Cloud platforms
Data governance

Education

Bachelor's degree in Computer Science/IT/Engineering or related

Tools

Hadoop
Spark
Kafka

Job description

S4 Technologies Inc. is seeking a highly skilled Data Engineer to perform duties requiring the theoretical and practical application of specialized knowledge in data engineering, computer science, and information technology. This position qualifies as a specialty occupation and requires at least a Bachelor’s degree or higher in Computer Science, Information Technology, Engineering, or a closely related field.

Detailed Job Duties
  • Design and develop scalable data pipelines to process large volumes of structured and unstructured data
  • Develop and maintain ETL/ELT processes for data extraction, transformation, and loading from multiple data sources
  • Apply knowledge of data modeling, data warehousing, and database design principles
  • Build and maintain data integration solutions across enterprise systems, APIs, and cloud platforms
  • Work with SQL and NoSQL databases for efficient data storage and retrieval
  • Develop and manage data lakes and data warehouses for analytics and reporting
  • Ensure data quality, integrity, and governance through validation and monitoring frameworks
  • Optimize data processing performance and resolve data-related issues
  • Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders
  • Utilize big data technologies and distributed computing frameworks for large-scale data processing
  • Prepare and maintain technical documentation related to data architecture and workflows
Minimum Qualifications
  • Bachelor’s degree or higher in Computer Science, Information Technology, Engineering, or a related field (or foreign equivalent)
  • Strong knowledge of data structures, algorithms, and database systems
  • Experience with SQL and database technologies
  • Experience in building data pipelines and ETL processes
  • Understanding of software development lifecycle (SDLC)
Preferred Qualifications
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Familiarity with big data technologies (Hadoop, Spark, Kafka)
  • Experience with programming languages such as Python, Java, or Scala
  • Knowledge of data visualization tools (Tableau, Power BI)
  • Experience with CI/CD and DevOps practices
Work Location
  • Primary work location: Wixom, MI
  • Employee may be assigned to client locations or remote work based on business requirements
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