Top 64 Data engineer Jobs in Madison Heights Mi

Big Data Engineer
Pyramid Consulting, Inc —Detroit, MI
- $105,000 - $110,000 a year
- Urgently hiring
- Hybrid work
- Computer science
- Computer Science
- SQL
- Health insurance
- Dental insurance
Quick Apply
Data Engineer
General Motors —Warren, MI
- $138,700 - $206,950 a year
- Email
- Computer Science
- 5 years
- System design
- Health savings account
- Paid holidays
9d
Data Engineer
Continental Services —Sterling Heights, MI
- Full-time
- Hybrid work
- Computer Science
- System design
- No experience needed
- Paid parental leave
- AD&D insurance
Quick Apply
Data Analytics Engineer
General Motors —Warren, MI
- Email
- Hybrid work
- Computer Science
- Mid-level
- Office
- Benefits from day one
10d
Data Engineer
Contact Government Services, LLC —Detroit, MI
- $112,597.33 - $152,810.66 a year
- Full-time
- Hybrid work
- 7 years
- SQL
- IT
- Health insurance
- Dental insurance
Quick Apply
Data Engineer
CNS Healthcare —Detroit, MI
- Computer science
- Computer Science
- System design
- Paid parental leave
- Paid holidays
Quick Apply
Data Engineer
Stellantis —Auburn Hills, MI
- On call
- Computer Science
- System design
- Mid-level
Data Engineer
Freudenberg-NOK General Partnership —Plymouth, MI
- From $120,000 a year
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid holidays
- Health insurance
Data Engineer
CompuTekSolutions —Farmington Hills, MI
- Computer Science
- No experience needed
- Office
Data Engineer
CompuTek Solutions —Farmington Hills, MI
- Computer Science
- No experience needed
- Office
ICT Data Engineer
Stellantis —Auburn Hills, MI
- Azure
- Computer Science
- 3 years
18h
Data Engineer
IB Systems —Farmington Hills, MI
- $114,691 a year
- Full-time
- Azure
- Oracle
- Computer Science
Databricks Data Engineer
Deloitte —Detroit, MI
- $86,700 - $170,900 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Data Engineer
Browse Info Solutions. —Canton, MI
- Email
- Computer Science
- Java
- Analysis skills
Senior Data Engineer
Sun, Inc. —Southfield, MI
- Full-time
- Computer Science
- DevOps
- Office
- Paid jury duty
- Paid parental leave
Data Engineer - Supply Chain
Stellantis —Auburn Hills, MI
- Office
- Senior level
Data Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Detroit, MI
- $77,000 - $202,000 a year
- Mid-level
- AWS
- Fair chance
- Paid holidays
- Health insurance
Senior Data Engineer
Rocket Companies —Detroit, MI
- Full-time
- Computer science
- Computer Science
- 5 years
Data Engineer - Manager
PRICE WATERHOUSE COOPERS —Detroit, MI
- $99,000 - $232,000 a year
- Computer Science
- Mid-level
- AWS
- Paid holidays
- Health insurance
Full-Stack Data Engineer
Hearst Media Services —Troy, MI
- Full-time
- SQL
- Bachelor's degree
- Senior level

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Big Data Engineer

Pyramid Consulting, Inc -
Detroit, MI

Quick Apply

Job Details

Full-time
$105,000 - $110,000 a year

Benefits

Health insurance
Dental insurance
401(k)
Vision insurance
Paid sick time

Qualifications

Function as a Service (FaaS)
Commercial use (data warehousing systems)
Cloud analytics services
Data Integration (Data management)
Infrastructure as Code (IaC)
Spark
Data retrieval time improvement
GitHub Actions
Schema design
SQL
Event-driven architecture
Data Architecture Design (Architecture design skills)
Spark implementation
AWS Glue
Terraform
Cloud Architecture Design (Architecture design skills)
Cloud automation
Kafka
DevOps automation
Real-time data processing implementation
System tuning
Query management
Python
Data analytics technologies
Cross-functional communication
AWS Lambda

Full Job Description

Immediate need for a talented Big Data Engineer. This is a Fulltime opportunity with long-term potential and is located in Detroit MI (Hybrid). Please review the job description below and contact me ASAP if you are interested.

Job ID:26-13596

Pay Range: $105000 - $110000/annum+ 5% org bonus + 5% performance bonus. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

Design, develop, and maintain scalable big data pipelines and ETL workflows using AWS Glue and Python.
Build and optimize Spark-based Glue jobs for efficient data processing and transformation.
Develop and manage real-time data streaming solutions using Apache Kafka.
Create and support event-driven serverless applications using AWS Lambda.
Design, optimize, and maintain Client data warehouse solutions, including schema design, query optimization, and performance tuning.
Write advanced SQL queries for large-scale data transformation, reporting, and analytics.
Manage and integrate AWS cloud services such as S3, CloudWatch, SES, and IAM.
Implement CI/CD pipelines and infrastructure automation using Terraform and Git Actions.
Monitor data workflows and troubleshoot issues related to data quality, system performance, and scalability.
Collaborate with cross-functional teams including developers, analysts, and business stakeholders to deliver data-driven solutions.
Ensure data security, reliability, and operational efficiency across cloud-based data platforms.
Participate in code reviews, technical discussions, and continuous improvement initiatives.
Work effectively in a fast-paced hybrid environment with minimal supervision.

Key Requirements and Technology Experience:

Strong Python experience (hands-on coding required)
AWS Glue experience with Spark-based Glue jobs
Apache Kafka experience for real-time streaming
Experience with Client data warehousing
Advanced SQL skills
Experience with AWS Lambda
Experience with Terraform
Experience with Git Actions / CI-CD
AWS Glue: Proficiency in developing and managing Spark-based Glue jobs.
Client: Strong experience in Client data warehousing, including schema design, query optimization, and performance tuning.
Kafka: Hands-on experience with Kafka for real-time data streaming and integration.
AWS Lambda: Experience in building serverless functions for event-driven workflows.Programming: Proficiency in Python - SQL: Advanced SQL skills for data transformation and analysis.
Cloud Infrastructure: Familiarity with AWS services such as S3, CloudWatch, SES and IAM.
CI/CD: Familiarity with Terraform and Git actions.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work in a fast-paced, dynamic environment with minimal supervision.
Spark optimization experience
Real-time data pipeline architecture
Event-driven/serverless architecture
AWS certification
Experience in enterprise-scale data engineering
Strong communication/client-facing experience
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field is preferred

Our client is a leading IT Industry and we are currently interviewing to fill this and other similar fulltime positions. If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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data engineer jobs in madison heights mi

Big Data Engineer

Data Engineer

Data Engineer

Data Analytics Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

ICT Data Engineer

Data Engineer

Databricks Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer - Supply Chain

Data Engineer - Senior Associate

Senior Data Engineer

Data Engineer - Manager

Full-Stack Data Engineer

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