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Data Engineer Two Jobs in Portage, MI (NOW HIRING)

Parker

Engineer II- Systems

Kalamazoo, MI · On-site

Analyze customer feedback and performance data to identify trends and areas for improvement in ... 2-3 years of experience in engineering roles, preferably in aerospace or a related industry.

New

Beacon Specialized Living

AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

Data Integration & Platform Collaboration • Work with Data Engineering to leverage: • Microsoft Fabric • Azure Data Lake • Power BI semantic models • Integrate data from: • EHR and eMAR ...

Perrigo

Production Engineer II

Allegan, MI

Reviews the previous 24 hours of production data on designated work centers. Addresses any urgent ... Demonstrated understanding of core engineering principles. * Ability to solve complex technical ...

Perrigo Company plc

Production Engineer II

Allegan, MI · On-site

Reviews the previous 24 hours of production data on designated work centers. Addresses any urgent ... Demonstrated understanding of core engineering principles. * Ability to solve complex technical ...

Perrigo Company plc

Production Engineer II

Allegan, MI · On-site

Reviews the previous 24 hours of production data on designated work centers. Addresses any urgent ... Demonstrated understanding of core engineering principles. * Ability to solve complex technical ...

Denso

Electrical Design Engineer 2

Battle Creek, MI · On-site

$81K - $101K/yr

Innovative problem solver and capable to make decisions independently using data, statistical tools ... engineering disciplines * Excellent written and verbal communication skills, capable of organizing ...

Denso

Electrical Design Engineer 2

Battle Creek, MI · On-site

$81K - $101K/yr

Innovative problem solver and capable to make decisions independently using data, statistical tools ... engineering disciplines * Excellent written and verbal communication skills, capable of organizing ...

CIBC

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ... spend 2 days per week on-site in Chicago, while other days may be remote. At CIBC, we offer a ...

CIBC US

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ... spend 2 days per week on-site in Chicago, while other days may be remote. At CIBC, we offer a ...

Post Consumer Brands

Reliability Engineer

Battle Creek, MI · On-site

$92K - $116K/yr

We are hiring Engineers I, II and III. The Pay range listed below is for an Engineer III. Ready to Make an Impact If you're a hands-on, data-driven problem solver who wants to prevent the next ...

spidf

Project Engineer

Portage, MI · On-site

Provide the latest data and/or drawings to tooling sources and document control. Analyze all ... S. degree in engineering and 2 years manufacturing (automotive related preferred) experience or ...

Norsk Hydro

Automation Engineer (20830)

Cassopolis, MI · On-site

Analyze process data (temperature profiles, throughput, fuel/energy usage, emissions) and implement ... 2. Continuous Improvement: * Develop and implement process improvement projects using appropriate ...

City of Portage

Assistant City Engineer

Portage, MI · On-site

$66K - $89K/yr

... Phase II permitting for the city. * Perform stormwater management and soil erosion reviews for ... Work with potential vendors to provide field data, design data, and other requested information.

Post Consumer Brands

Reliability Engineer

Battle Creek, MI · On-site

$92K - $116K/yr

Key Responsibilities * Use equipment health and performance data to identify issues early ... Schedule: 6:30AM-2:30PM * Travel is not specifically defined; work may require moving between ...

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Showing results 1-20

All JobsData Engineer Two JobsData Engineer Two Jobs in Portage, MI

Data Engineer Two information

See Portage, MI salary details

$41.8K

$121.8K

$166.7K

How much do data engineer two jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer two in Portage, MI is $121,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Two vs Data Engineer One?

AspectData Engineer TwoData Engineer One
Required CredentialsBachelor's degree in Computer Science or related field; experience with cloud platformsSimilar credentials, often entry-level or less experience
Work EnvironmentCollaborates on complex data pipelines, often in team settingsSupports basic data tasks, more independent work
Employer & Industry UsageUsed in tech, finance, healthcare industriesCommon in same industries, often as entry-level roles
Search & Comparison IntentOften searched for by those with some experience seeking advanced rolesTypically searched by entry-level candidates

Data Engineer Two roles generally require more experience and involve handling complex data systems, whereas Data Engineer One positions are more entry-level with simpler responsibilities. Both roles are prevalent across industries like tech, finance, and healthcare, but Data Engineer Two is suited for those with more technical expertise and experience.

What other jobs can a data engineer do?

Data engineers can transition into roles such as data architects, data scientists, machine learning engineers, or analytics managers, leveraging their skills in data pipeline development, database management, and programming. They often work with tools like SQL, Python, and cloud platforms, and may pursue certifications to expand their expertise. These roles typically require strong analytical skills and knowledge of data modeling and infrastructure.
What cities near Portage, MI are hiring for Data Engineer Two jobs? Cities near Portage, MI with the most Data Engineer Two job openings:
Data Engineer Two jobs near you

IT Data Engineer

Western Michigan University

Kalamazoo, MI • On-site

$65K - $76K/yr

Full-time

Medical, Retirement, PTO

Re-posted 3 days ago

Western Michigan University rating

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

484th of 616 rated colleges and universities

Job description

Description
The Data Engineer is responsible for designing, building, and maintaining the organization's data
infrastructure to support a scalable, governed, and analytics-ready environment. This role focuses on the
development of robust data pipelines, integration of disparate data sources, and optimization of data storage
and processing frameworks, while contributing to the evolution of the WMed data platform toward a data-asa-
service (DaaS) model that enables standardized, secure, and reusable access to trusted data assets
across clinical operations, medical education, research, compliance, and executive decision-making.
Working within a modern data architecture, the Data Engineer transforms fragmented, system-centric data
into structured, reliable, and accessible datasets. This role partners closely with analysts, stakeholders, and
technical teams to ensure data availability, integrity, and performance across platforms including partner
EHRs, academic systems, and enterprise applications.
Please Note this is a Salaried Hybrid Position that will require on-site attendance. (MI residents only or willing to relocate - at their expense, to Michigan)
This position is NOT eligible for employer-sponsored work authorization (visa sponsorship), now or in the future.
BENEFITS
  • Wellness reimbursement.
  • Continuing education and tuition reimbursement.
  • Employer-funded retirement plan.
  • Two medical plan options: PPO and High Deductible Health Plan (HDHP) with employer HSA contribution.
  • Flexible work solutions based on position and department.
  • Up to four weeks of PTO accrual beginning in year one.
  • Paid holidays.
  • Paid volunteer time.
  • Paid preferred holiday.

DUTIES AND RESPONSIBILITIES:
  • Design, build, and maintain scalable data pipelines to ingest, transform, and load data from clinical, academic, and enterprise systems
  • Develop and manage ETL processes using tools such as Pentaho and Microsoft SSIS, ensuring reliability and performance
  • Design and implement data models and schemas to support downstream analytics and reporting use cases
  • Contribute to the development of a DaaS platform, enabling reusable, governed data products and standardized access patterns for analysts, applications, and self-service users
  • Optimize and maintain PostgreSQL data environments, including performance tuning and storage strategies
  • Implement and monitor data quality, validation, and error-handling processes
  • Establish and maintain data lineage, metadata, and documentation to support governance and transparency
  • Integrate new data sources into the data platform, including APIs, flat files, and third-party systems
  • Troubleshoot and resolve data issues across the full data lifecycle
  • Support the evolution of organizational data architecture toward a modern, scalable platform
  • Contribute to standards, best practices, and governance frameworks for data engineering
  • All other duties as assigned

Requirements
To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION AND/OR EXPERIENCE:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field (or equivalent experience).
  • 3 to 5 years of experience in data engineering, ETL development, or data platform engineering.
  • Advanced proficiency in SQL (PostgreSQL or similar relational databases).
  • Experience designing and managing data pipelines and workflows (Pentaho, Microsoft SSIS, or similar ETL tools).
  • Experience working with healthcare data systems preferred.
  • Experience integrating academic and enterprise systems preferred.

OTHER SKILLS AND ABILITIES:
  • Strong understanding of data architecture, data modeling, and data warehousing concepts.
  • Experience building and maintaining data pipelines (ETL), orchestration, and scheduling frameworks.
  • Knowledge of data warehousing and/or data lake architectures.
  • Experience with data quality frameworks, validation, and monitoring.
  • Familiarity with performance tuning and query optimization.
  • Familiarity with modern data platform concepts including DaaS and self-service analytics enablement.
  • Understanding of data governance, lineage, and metadata management concepts.
  • Experience working with structured and semi-structured data (CSV, JSON, APIs).
  • Ability to troubleshoot data issues across multiple systems and layers (source to pipeline to warehouse to reporting).
  • Experience with BI tools (Power BI or similar) for downstream data consumption.
  • Ability to learn and adapt to evolving data technologies and platforms.

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