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Senior Data Engineer Jobs in Ida, MI (NOW HIRING)

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $200K/yr

As a Senior Data Engineer at Mariana, you'll own a data domain end-to-end-designing the pipelines, schemas, and contracts that make a whole class of plant data trustworthy and queryable. The systems ...

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI

$102K - $138K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Pwc

Data Engineer - Senior Manager

Toledo, OH · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Associate

Toledo, OH · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Welltower

Senior Software Engineer

Toledo, OH

$150K - $225K/yr

The Senior Data Engineer will collaborate with cross-functional teams, lead data engineering projects to completion, and establish best practices for data management across the organization. KEY ...

University of Michigan

Data and AI Engineer

Ann Arbor, MI · On-site

$112K - $134K/yr

Systems Programmer/Analyst Sr * Bachelor?s degree in Computer Science, Software Engineering, a related field, or equivalent experience. * Demonstrated knowledge of EHR data and the relationships ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Ida, MI

Senior Data Engineer information

See Ida, MI salary details

$76.7K

$119.6K

$165.7K

How much do senior data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior data engineer in Ida, MI is $119,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $136,400.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What cities near Ida, MI are hiring for Senior Data Engineer jobs?

Cities near Ida, MI with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Ida, MI as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $119,646 per year, or $57.5 per hour.

Sr. Data Engineer

Mariana Minerals

Ann Arbor, MI • On-site

$140K - $200K/yr

Full-time

Re-posted 12 days ago

Job description

About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
The Role
Mariana Minerals is building the critical minerals supply chain from the ground up-and we're looking for a Senior Data Engineer to help make it autonomous.
We're not a software company selling tools to mining operators. We are a mining company that builds software. Mariana designs, builds, commissions, and operates our own mines and refineries. We develop proprietary chemical processes and run them at lab, pilot, and commercial scale. Today, we're producing battery-grade lithium salts from real oil and gas wastewater in our facilities. Our first commercial-scale lithium production facility, Lithium One, is targeting initial production in Q1 of 2027.
As a Senior Data Engineer at Mariana, you'll own a data domain end-to-end-designing the pipelines, schemas, and contracts that make a whole class of plant data trustworthy and queryable. The systems you build are the foundation every model and every operational decision depends on.
The Tech
This is some of the most interesting applied data work happening today.
Our internal platform, PlantOS, uses the same reinforcement learning toolkits that power self-driving vehicles and humanoid robots-but applied to autonomous, short-interval control of mineral refining circuits. None of it works without data: every set point those models adjust, and every decision we make about a plant, rests on turning messy industrial reality into trustworthy, queryable, model-ready data.
The environment is noisy and non-stationary: sensors drift, lab results arrive late and malformed, wastewater compositions shift, equipment ages. The data backbone has to keep up. The end goal is fully autonomous refining operations-and the pipelines you build are the foundation everything else stands on.
What You'll Do
  • Work across domains-for example, all plant sensor and historian data, or all lab and analytical results-including schema design, orchestration, reliability, and the contract it exposes to everyone downstream.
  • Design and evolve our fleet of pipelines that pull from messy industrial sources-sensors, lab systems, historians, imagery, and more-into our databases and warehouse.
  • Model time-series and analytical plant data for both human analysis and machine learning training, validation, and monitoring; own data quality, observability, and lineage in your domain.
  • Build the data architecture that feeds production ML-the training and monitoring layer-in partnership with the ML engineers who own the model-specific semantics.
  • Mentor earlier-career engineers and define the data contracts other teams build against.
  • Work the boundary with machine learning deliberately: you own the platform and the interface it exposes; ML engineers own the features and models built on top of it. The training and monitoring layer is shared ground you design together.
Desired Qualifications
  • 4-8+ years in data engineering or a closely related role.
  • Strong Python and SQL, with deep experience designing database and warehouse schemas, including time-series and/or analytical data.
  • Proven experience building reliable, orchestrated data pipelines and operating them in the cloud with containers and CI/CD.
  • Experience with data quality, observability, and lineage, and comfort with messy real-world sources-drifting sensors, malformed exports, and the quirks of industrial systems.
  • A self-starter comfortable in high-ambiguity environments, working directly with process engineers, ML engineers, and operations teams.
  • Bonus: experience feeding data to ML systems-training datasets, feature pipelines, model monitoring-or working with industrial, sensor, or historian data.
Why This Role
We own the projects, generate the data, and close the loop. Every facility we build makes the software smarter-and the next facility faster and cheaper.
Mining is one of the last major industrial sectors that hasn't been rebuilt with modern software. The opportunity here isn't a feature gap-it's entire workflows and systems that don't exist yet.
Your work will directly shape how critical minerals are produced at scale in the coming decades.
Our culture is built on three principles:
Extreme Ownership - We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate - We simplify, optimize, and then automate for scale.
Share Your Legos - We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply.

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