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Senior Data Engineer

K Anand Corporation

Hybrid in Detroit, Michigan • Today

Easy Apply

Contract

Depends on Experience

Senior Data Engineer

Randstad Digital

Remote or Miami, Florida • Today

Full-time

USD150,000 - USD180,000

Senior Data Engineer

Hearst Magazines

Troy, Michigan • Today

Full-time

Senior Data Engineer - Agentic AI, Automation, and Data Platforms

General Motors

Warren, Michigan • Today

Full-time

USD 138,700.00 - 173,750.00 per year

Sr. Data Engineer

INSPYR Solutions

Remote • 21d ago

Easy Apply

Contract

$90 - $100

Senior Data Engineer - C# OR Python, Remote - 69852

PRIMUS Global Services Inc.

Remote or Texas • Today

Easy Apply

Contract

$55.00 - 60.00

Senior Data Engineer

Gemini

Remote or New York, New York • Today

Full-time

USD 126,000.00 - 180,000.00 per year

Senior Data Engineer

AmeriSave Mortgage Corporation

Remote or Enterprise, Oregon • Today

Full-time

USD 100,000.00 - 170,000.00 per year

Senior Data Engineer

Brooksource

Remote • Today

Contract

$80.00 - $90.00

Senior Data Engineer

Node.Digital

Remote or Washington, District of Columbia • Today

Full-time

Senior Data Engineer

Vanta

Remote • Today

Full-time

USD 190,000.00 - 224,000.00 per year

Senior Data Engineer

Quantiphi Inc.

Remote • Today

Full-time

Senior Data Engineer

NinjaOne

Remote or Texas • Today

Full-time

USD 110,000.00 - 200,000.00 per year

Senior Data Engineer

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Contract

$75 - $80

Senior Data Engineer

CVS Health

Remote or Illinois • Today

Full-time

USD 101,970.00 - 203,940.00 per year

Senior Data Engineer

Immersion Consulting

Remote • Today

Full-time

Senior Data Engineer

Kforce Technology Staffing

Remote or Atlanta, Georgia • Today

Contract

$35 - $45 hourly

Data Architect / Engineer - Snowflake - ADF

KE Staffing

Remote • 21d ago

Easy Apply

Contract

$60+

Sr Data Engineer

Sacrum Technologies LLC

Remote • Today

Easy Apply

Contract

90 - 95

Sr. Data Engineer

WellSky

Remote • Today

Full-time

Sr Data Engineer

Boeing Employees Credit Union

Remote or Washington • Today

Full-time

USD 141,800.00 - 173,300.00 per year

Senior Data Engineer

Calsoft Pvt Ltd

Remote • 23d ago

Easy Apply

Full-time

125000 - 180000

Senior Data Engineer

Samsara

Remote • Today

Full-time

USD 118,107.50 - 178,650.00 per year

Sr. Data Engineer

DTN

Remote or Texas • Today

Full-time

USD 109,400.00 - 145,800.00 per year

Sr. Data Engineer

Par Technology Corporation

Remote or Philadelphia, Pennsylvania • Today

Full-time

USD 130,000.00 - 144,000.00 per year

Sr Data Engineer

Guild

Remote • Today

Full-time

USD 109,000.00 - 156,000.00 per year

Sr Data Engineer --Tibco & RHEL Migration Lead---W2 Role

Cyber Sphere LLC

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Senior Data Engineer

Thumbtack

Remote • Today

Full-time

USD 210,800.00 - 272,800.00 per year

Senior Data Engineer

Novanta Inc

Remote • Today

Full-time

USD 101,100.00 - 161,800.00 per year

Sr. Data Engineer

NinjaTrader

Remote or Chicago, Illinois • Today

Full-time

USD 100,000.00 - 150,000.00 per year

Job Details

Skills

API
Snowflake
AWS
Python
ETL
DataStage

Summary

Job Title: Senior Data Engineer

Location: Detroit, MI (Onsite)

12 Months Contract

Role Summary

We are looking for a Senior Data Engineer to design, build, and optimize scalable data pipelines and data platforms supporting analytics, reporting, and AI/ML use cases. The ideal candidate has strong hands-on experience with Snowflake on AWS, Python-based ETL/ELT development, and enterprise scheduling/orchestration tools like Control-M, along with legacy/enterprise ETL experience in IBM DataStage. You will collaborate across engineering, analytics, and business teams in an Agile delivery model.

Key Responsibilities

Design, develop, and maintain end-to-end data pipelines (batch and near real-time) using Snowflake, AWS services, and Python.
Build and optimize data models in Snowflake (e.g., dimensional modeling, data vault, or curated data marts) for analytics and downstream consumption.
Develop and maintain ETL/ELT workflows using Python and IBM DataStage; migrate/modernize workloads where applicable.
Implement job scheduling, monitoring, and operational support using Control-M (alerting, retries, SLAs, and dependency management).
Ensure data quality, governance, lineage, and documentation standards are met across pipelines.
Perform performance tuning and cost optimization across Snowflake and AWS (query optimization, clustering, warehouse sizing, storage management).
Partner with stakeholders (Data Science/AI, BI, Product, and Platform teams) to enable data products and AI-ready datasets.
Participate in Agile ceremonies, contribute to estimation, planning, and sprint execution; follow SDLC and change management processes.
Troubleshoot production issues, perform root-cause analysis, and drive preventative improvements.

Required Technical Skills

Snowflake: Strong expertise in Snowflake architecture, SQL development, performance tuning, security/roles, data loading/unloading, and best practices.
AWS: Hands-on experience with AWS data ecosystem (commonly S3, IAM, CloudWatch; plus services such as Glue, Lambda, EC2, Step Functions, EMR, or Kinesis as applicable).
Python: Strong Python programming for data engineering (ETL/ELT frameworks, API ingestion, automation, unit testing, logging).
Control-M: Experience designing and managing enterprise job scheduling, dependencies, calendars, SLAs, monitoring, and incident handling.
IBM DataStage: Solid experience building and maintaining DataStage jobs, handling complex transformations, and supporting production workloads.
SQL: Advanced SQL skills for transformations, optimization, and data validation across large datasets.
CI/CD & Version Control: Experience with Git and CI/CD practices for data pipelines (tools may vary).
Operational Excellence: Monitoring, alerting, and production support experience in a 24x7 or business-critical environment.

Good to Have

AI/ML exposure: Experience enabling AI/ML pipelines or feature datasets; familiarity with ML lifecycle concepts, feature engineering, or MLOps tools/processes.
Experience with data governance/metadata tools and practices (catalog, lineage, data quality frameworks).
Exposure to streaming or event-driven architectures.

Required Soft Skills

Strong experience working in Agile/Scrum teams and delivering within structured SDLC processes.
Excellent communication skills (technical and non-technical) with the ability to explain complex data concepts clearly.
Proven ability to coordinate across multiple teams (Data Engineering, Data Science, DevOps, Security, BI, and business stakeholders).
Strong ownership mindset, problem-solving ability, and attention to detail.

Qualifications (Typical)

Bachelor s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
9+ years of data engineering experience, including enterprise-grade data platform delivery and production support.

Thanks & Regards,

Aditya Kumar

Recruitment Manager Talent Acquisition

KAnand Corporation

Email:

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: 10119616
Position Id: MY392001
Posted 20 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Vikas Anand

Recruitment Manager @ K Anand Corporation

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Job Details

Skills

API
Snowflake
AWS
Python
ETL
DataStage

Summary

Job Title: Senior Data Engineer

Location: Detroit, MI (Onsite)

12 Months Contract

Role Summary

Key Responsibilities

Design, develop, and maintain end-to-end data pipelines (batch and near real-time) using Snowflake, AWS services, and Python.
Build and optimize data models in Snowflake (e.g., dimensional modeling, data vault, or curated data marts) for analytics and downstream consumption.
Develop and maintain ETL/ELT workflows using Python and IBM DataStage; migrate/modernize workloads where applicable.
Implement job scheduling, monitoring, and operational support using Control-M (alerting, retries, SLAs, and dependency management).
Ensure data quality, governance, lineage, and documentation standards are met across pipelines.
Perform performance tuning and cost optimization across Snowflake and AWS (query optimization, clustering, warehouse sizing, storage management).
Partner with stakeholders (Data Science/AI, BI, Product, and Platform teams) to enable data products and AI-ready datasets.
Participate in Agile ceremonies, contribute to estimation, planning, and sprint execution; follow SDLC and change management processes.
Troubleshoot production issues, perform root-cause analysis, and drive preventative improvements.

Required Technical Skills

Snowflake: Strong expertise in Snowflake architecture, SQL development, performance tuning, security/roles, data loading/unloading, and best practices.
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Control-M: Experience designing and managing enterprise job scheduling, dependencies, calendars, SLAs, monitoring, and incident handling.
IBM DataStage: Solid experience building and maintaining DataStage jobs, handling complex transformations, and supporting production workloads.
SQL: Advanced SQL skills for transformations, optimization, and data validation across large datasets.
CI/CD & Version Control: Experience with Git and CI/CD practices for data pipelines (tools may vary).
Operational Excellence: Monitoring, alerting, and production support experience in a 24x7 or business-critical environment.

Good to Have

AI/ML exposure: Experience enabling AI/ML pipelines or feature datasets; familiarity with ML lifecycle concepts, feature engineering, or MLOps tools/processes.
Experience with data governance/metadata tools and practices (catalog, lineage, data quality frameworks).
Exposure to streaming or event-driven architectures.

Required Soft Skills

Strong experience working in Agile/Scrum teams and delivering within structured SDLC processes.
Excellent communication skills (technical and non-technical) with the ability to explain complex data concepts clearly.
Proven ability to coordinate across multiple teams (Data Engineering, Data Science, DevOps, Security, BI, and business stakeholders).
Strong ownership mindset, problem-solving ability, and attention to detail.

Qualifications (Typical)

Bachelor s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
9+ years of data engineering experience, including enterprise-grade data platform delivery and production support.

Thanks & Regards,

Aditya Kumar

Recruitment Manager Talent Acquisition

KAnand Corporation

Email:

Dice Id: 10119616
Position Id: MY392001
Posted 20 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Vikas Anand

Recruitment Manager @ K Anand Corporation

View Profile

Create job alert

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

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