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Datasets Jobs in Michigan (NOW HIRING)

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99.60K - $135.20K/yr

... datasets (vision, depth, tactile, force/torque). · Build infrastructure for high-throughput data capture from real robots and simulation environments. · Develop and deploy semi-supervised/self ...

This individual contributor role is ideal for a detail-oriented professional who can independently analyze large datasets, identify measurement anomalies, and ensure defensible reporting aligned with ...

If diving deep into complex datasets and transforming them into actionable strategies the world has never seen before doesn't scare you, then read on. About Us Working at Hello Innovation is more ...

If diving deep into complex datasets and transforming them into actionable strategies the world has never seen before doesn't scare you, then read on. About Us Working at Hello Innovation is more ...

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 ...

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Showing results 1-20

Datasets information

What is the difference between Datasets vs Data Analysts?

AspectDatasetsData Analysts
Required credentialsNone specific; often familiarity with data formats and toolsBachelor's degree in data-related fields; skills in data analysis tools
Work environmentData repositories, databases, data warehousesOffice settings, data analysis software, reporting tools
Employer and industry usageUsed by data analysts, data scientists, and database managersUsed by business teams, data analysts, and decision-makers
Common search and comparison intentUnderstanding data sources and structuresInterpreting data, generating reports, making decisions

Datasets are collections of raw data used as sources for analysis, while Data Analysts interpret and analyze these datasets to generate insights and support decision-making. Datasets serve as the foundational data, whereas Data Analysts apply skills to extract value from them.

What are popular job titles related to Datasets jobs in Michigan? For Datasets jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Datasets jobs? Cities in Michigan with the most Datasets job openings:
Data Engineer - Project Delivery Specialist

Data Engineer - Project Delivery Specialist

Deloitte

Midland, MI

Other

Posted 13 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer - Project Delivery Specialist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on May 31st, 2026.

Work you'll do/Responsibilities  

As part of the Data & Analytics Foundry you will support numerous business product teams in designing, building, and operating modern data products and platforms across a scale delivery program (onshore/offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications.

Key responsibilities include:

  • Architect, build, and operate scalable batch and near-real-time data pipelines on AWS.
  • Design robust ingestion patterns from source systems into S3 and into Snowflake.
  • Develop transformation layers and curated datasets in Snowflake, including dimensional/data product modeling for analytics and downstream applications.
  • Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.
  • Build reusable Python components for ingestion, validation, and transformations; enforce standards via code reviews and testing.
  • Optimize Snowflake performance and cost warehouse sizing, concurrency patterns, query tuning, clustering/micro-partition considerations, and workload isolation.
  • Partner with stakeholders to translate requirements into well-defined datasets and data contracts.
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI& Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Qualifications

Required

  • 7+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets.
  • 7+ years of hands-on experience with SQL and Python, including Snowflake and/or PySpark for scalable data processing and ELT.
  • 7+ years of experience designing, building, and operating batch and near-real-time data pipelines on cloud platforms (AWS preferred; Azure/GCP acceptable).
  • Experience with data integration frameworks and orchestration tools.
  • Proficiency in designing and implementing Lakehouse/warehouse architectures and ELT patterns.
  • Knowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code.
  • Ability to optimize data storage, partitioning, file formats (Delta, Parquet), and performance.
  • Understanding of data quality, data governance, and metadata management.
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred

  • Agile delivery experience (5-10 years).
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products.
  • Can operate independently or with minimum supervision.
  • Excellent written and communication skills.
  • Ability to deliver technical demonstrations.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,750 to $171,250.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer - Project Delivery Specialist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on May 31st, 2026.

Work you'll do/Responsibilities  

As part of the Data & Analytics Foundry you will support numerous business product teams in designing, building, and operating modern data products and platforms across a scale delivery program (onshore/offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications.

Key responsibilities include:

  • Architect, build, and operate scalable batch and near-real-time data pipelines on AWS.
  • Design robust ingestion patterns from source systems into S3 and into Snowflake.
  • Develop transformation layers and curated datasets in Snowflake, including dimensional/data product modeling for analytics and downstream applications.
  • Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.
  • Build reusable Python components for ingestion, validation, and transformations; enforce standards via code reviews and testing.
  • Optimize Snowflake performance and cost warehouse sizing, concurrency patterns, query tuning, clustering/micro-partition considerations, and workload isolation.
  • Partner with stakeholders to translate requirements into well-defined datasets and data contracts.
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team 

AI& Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Qualifications

Required

  • 7+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets.
  • 7+ years of hands-on experience with SQL and Python, including Snowflake and/or PySpark for scalable data processing and ELT.
  • 7+ years of experience designing, building, and operating batch and near-real-time data pipelines on cloud platforms (AWS preferred; Azure/GCP acceptable).
  • Experience with data integration frameworks and orchestration tools.
  • Proficiency in designing and implementing Lakehouse/warehouse architectures and ELT patterns.
  • Knowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code.
  • Ability to optimize data storage, partitioning, file formats (Delta, Parquet), and performance.
  • Understanding of data quality, data governance, and metadata management.
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred

  • Agile delivery experience (5-10 years).
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products.
  • Can operate independently or with minimum supervision.
  • Excellent written and communication skills.
  • Ability to deliver technical demonstrations.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,750 to $171,250.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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