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Full-Time Roles - Data Engineer - Onsite - NJ / MI

Infinity Tech Group Inc

Detroit, Michigan • Yesterday

Easy Apply

Full-time

Depends on Experience

Data Engineer

Stefanini

Dearborn, Michigan • Today

Easy Apply

Contract

$61 - $66 /hr

Data Engineer

Samsara

Remote • Today

Full-time

USD 99,365.00 - 167,000.00 per year

Data Engineer

ICF Consulting Group, Inc.

Remote or Reston, Virginia • Today

Full-time

USD 81,499.00 - 138,549.00 per year

Data Engineer - Senior - USA

Quantiphi Inc.

Remote • Today

Full-time

Data Engineer

Kyndryl

Remote or Dallas, Texas • 30+d ago

Full-time

USD 76,080.00 - 137,040.00 per year

Data Engineer - Full-Time/OPT,H1B, are OK

Global Information Technology

Dearborn, Michigan • 7d ago

Easy Apply

Full-time

Compensation information provided in the description

Job Details

Skills

Amazon Web Services
Apache Spark
Continuous Delivery
Continuous Integration
Data Engineering
Data Integration
Data Modeling
Data Processing
Data Warehouse
Data Quality
Data Security
Databricks
ELT
Extract
Transform
Load
Microsoft Azure
Google Cloud Platform
SQL
Python
PySpark
NoSQL

Summary

Full-time Role: Data Engineer (Onsite)

(Direct Client)

Location: Princeton NJ/ Detroit, MI

Job Description:
We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data infrastructure. The ideal candidate will work closely with data scientists, analysts, software engineers, and business teams to ensure reliable and high-quality data.

Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines.
Build and optimize data processing workflows for large datasets.
Develop data solutions using Python, SQL, and cloud technologies.
Work with structured and unstructured data from multiple sources.
Design and maintain data warehouses, data lakes, and databases.
Perform data transformation, cleansing, validation, and quality checks.
Optimize SQL queries and data-processing jobs for performance.
Implement data integration solutions using APIs, files, databases, and streaming platforms.
Monitor data pipelines and troubleshoot data-related issues.
Collaborate with Data Scientists, Data Analysts, BI teams, and application developers.
Implement data security, governance, and access-control best practices.
Create and maintain technical documentation for data pipelines and architectures.

Required Skills

6+ years of experience in Data Engineering or a related field.
Strong experience with Python and SQL.
Experience building ETL/ELT pipelines.
Hands-on experience with AWS, Azure, or Google Cloud Platform.
Experience with data warehouses such as Snowflake, Redshift, BigQuery, or Azure Synapse.
Experience with Apache Spark / PySpark.
Knowledge of relational and NoSQL databases.
Experience with Airflow, Databricks, or similar orchestration/data platforms.
Strong understanding of data modeling and database concepts.
Experience with Git and CI/CD.
Good understanding of data quality, governance, and security.

Best Regards

Kyle,

Sr. US IT Recruiter

Infinity Tech Group Inc,

12 N Route 17 Suite # 201 Paramus NJ 07652

kylek Att infigroup Dottcomm

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: infnj003
Position Id: Kyle1576
Posted 1 day ago

Fitment

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Contact the job poster

Sanjay Kumar

Recruiter @ Infinity Tech Group Inc

View Profile

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Job Details

Skills

Amazon Web Services
Apache Spark
Continuous Delivery
Continuous Integration
Data Engineering
Data Integration
Data Modeling
Data Processing
Data Warehouse
Data Quality
Data Security
Databricks
ELT
Extract
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Summary

Full-time Role: Data Engineer (Onsite)

(Direct Client)

Location: Princeton NJ/ Detroit, MI

Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines.
Build and optimize data processing workflows for large datasets.
Develop data solutions using Python, SQL, and cloud technologies.
Work with structured and unstructured data from multiple sources.
Design and maintain data warehouses, data lakes, and databases.
Perform data transformation, cleansing, validation, and quality checks.
Optimize SQL queries and data-processing jobs for performance.
Implement data integration solutions using APIs, files, databases, and streaming platforms.
Monitor data pipelines and troubleshoot data-related issues.
Collaborate with Data Scientists, Data Analysts, BI teams, and application developers.
Implement data security, governance, and access-control best practices.
Create and maintain technical documentation for data pipelines and architectures.

Required Skills

6+ years of experience in Data Engineering or a related field.
Strong experience with Python and SQL.
Experience building ETL/ELT pipelines.
Hands-on experience with AWS, Azure, or Google Cloud Platform.
Experience with data warehouses such as Snowflake, Redshift, BigQuery, or Azure Synapse.
Experience with Apache Spark / PySpark.
Knowledge of relational and NoSQL databases.
Experience with Airflow, Databricks, or similar orchestration/data platforms.
Strong understanding of data modeling and database concepts.
Experience with Git and CI/CD.
Good understanding of data quality, governance, and security.

Best Regards

Kyle,

Sr. US IT Recruiter

Infinity Tech Group Inc,

12 N Route 17 Suite # 201 Paramus NJ 07652

kylek Att infigroup Dottcomm

Dice Id: infnj003
Position Id: Kyle1576
Posted 1 day ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Sanjay Kumar

Recruiter @ Infinity Tech Group Inc

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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