ZipRecruiter

Log In

1

Senior Analytics Engineer Jobs in Bloomington, IL

1 point system

Senior Data Engineer

Normal, IL · On-site

$103K - $140K/yr

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well ...

Rivian

Sr. Advanced Diagnostics Engineer

Normal, IL · On-site

$99 - $123/hr

The Senior Advanced Diagnostics Engineer will work closely with engineering, manufacturing ... Apply structured problem‑solving methods such as 8D, fault‑tree analysis, data analysis, fault ...

New

Rivian

Sr. Advanced Diagnostics Engineer

Normal, IL · On-site

$102K - $140K/yr

The Senior Advanced Diagnostics Engineer will work closely with engineering, manufacturing ... Apply structured problem-solving methods such as 8D, fault-tree analysis, data analysis, fault ...

New

Rivian

Sr. Advanced Diagnostics Engineer

Normal, IL · On-site

$102K - $140K/yr

The Senior Advanced Diagnostics Engineer will work closely with engineering, manufacturing ... Apply structured problem-solving methods such as 8D, fault-tree analysis, data analysis, fault ...

Rivian

Sr. Advanced Diagnostics Engineer

Normal, IL · On-site

$102K - $140K/yr

The Senior Advanced Diagnostics Engineer will work closely with engineering, manufacturing ... Apply structured problem-solving methods such as 8D, fault-tree analysis, data analysis, fault ...

New

Watershed Ventures

Sr. QMS Engineer

Normal, IL · On-site

$135.69/hr

The Sr. QMS Engineer will be responsible for updating and authoring quality standards, coaching our ... Identify, analyze, and lead continuous improvement projects related to quality processes, product ...

Rivian

Sr. QMS Engineer

Normal, IL · On-site

$9/hr

The Sr. QMS Engineer will be responsible for updating and authoring quality standards, coaching our ... Identify, analyze, and lead continuous improvement projects related to quality processes, product ...

Rivian

Sr. QMS Engineer

Normal, IL · On-site

$99 - $123/hr

The Sr. QMS Engineer will be responsible for updating and authoring quality standards, coaching our ... Identify, analyze, and lead continuous improvement projects related to quality processes, product ...

Rivian

Sr. QMS Engineer

Normal, IL · On-site

$9/hr

The Sr. QMS Engineer will be responsible for updating and authoring quality standards, coaching our ... Identify, analyze, and lead continuous improvement projects related to quality processes, product ...

Rivian

Sr. QMS Engineer

Normal, IL · On-site

$9/hr

The Sr. QMS Engineer will be responsible for updating and authoring quality standards, coaching our ... Identify, analyze, and lead continuous improvement projects related to quality processes, product ...

Rivian

Sr. Process Engineer

Normal, IL · On-site

$98K - $123K/yr

The Senior Process Engineer position at Rivian will support our Drive Unit production and report to ... Perform time analysis using a standard motion time system (MODAPTS), estimate production times ...

Rivian

Sr. Process Engineer

Normal, IL · On-site

$98.50 - $123.10/hr

The Senior Process Engineer position at Rivian will support our Drive Unit production and report to ... Perform time analysis using a standard motion time system (MODAPTS), estimate production times ...

Rivian

Sr. Process Engineer

Normal, IL · On-site

$98K - $123K/yr

The Senior Process Engineer position at Rivian will support our Drive Unit production and report to ... Perform time analysis using a standard motion time system (MODAPTS), estimate production times ...

next page

Showing results 1-20

All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Bloomington, IL

Senior Analytics Engineer information

See Bloomington, IL salary details

$57.1K

$121.4K

$176K

How much do senior analytics engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior analytics engineer in Bloomington, IL is $121,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $137,600.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.

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

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

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

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What job categories do people searching Senior Analytics Engineer jobs in Bloomington, IL look for?

The top searched job categories for Senior Analytics Engineer jobs in Bloomington, IL are:

What cities near Bloomington, IL are hiring for Senior Analytics Engineer jobs?

Cities near Bloomington, IL with the most Senior Analytics Engineer job openings:

Senior Analytics Engineer jobs near you

Senior Data Engineer

1 point system

Normal, IL • On-site

$103K - $140K/yr

Contractor

Re-posted 20 days ago

Job description

Job Description

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well-modeled datasets, and ensure data quality and reliability across critical systems.

This role sits at the intersection of operational systems, modern data platform engineering, and analytics enablement, helping convert raw operational signals into governed, high-value datasets that power analytics applications, core metrics, and future AI-driven insights.

Roles and Responsibilities

  • Design, build, and operate data ingestion pipelines from operational, quality, test, and service systems into Databricks using Fivetran/AWS/Databricks and standardized ELT patterns.
  • Develop and maintain dbt models for operational, quality, and ramp metrics, following our standard patterns for analytics.
  • Set up and maintain data quality checks, audits, and monitoring for freshness, completeness, and contract compliance across key pipelines.
  • Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability, including orchestration, alerting, and runbooks.
  • Collaborate with analytics engineers and product teams to turn models into highvalue data products powering analytics applications.
  • Contribute to the semantic layer and catalog so GenAI agents and self-service tools can reliably discover and query operational data.
  • Drive improvements in upstream systems and schemas to reduce data issues at the source.

Required Qualifications

  • 5+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems.
  • Strong expertise in SQL and Python for building scalable data pipelines and transformations.
  • Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks strongly preferred).
  • Deep experience with dbt, including model development, testing, documentation, and CI/CD integration.
  • Experience with managed ingestion tools such as Fivetran, Airbyte, or similar.
  • Experience designing and operating production-grade data pipelines with monitoring and observability.
  • Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders.
  • Bachelors or Master’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.

Preferred Qualifications

  • Experience working with manufacturing, MES, quality, or operational data.
  • Familiarity with Fivetran connector management and ingestion architecture.
  • Experience with data contracts and schema governance.
  • Experience building semantic layers or governed analytical datasets.
  • Exposure to modern analytics tools (Hex, Tableau, Power BI, or similar).
  • Experience enabling AI or advanced analytics use cases on top of operational data.
  • Knowledge of streaming or near-real-time data pipelines.