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Sr Data Engineer Jobs in Springfield, IL (NOW HIRING)

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site

$113K - $136K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site

$113K - $136K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and ...

Datamaxis

Senior Azure Data Engineer

Springfield, IL · On-site

$100 - $130/hr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and ...

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and ...

Distro

Network Architect

Springfield, IL · Hybrid

$90 - $100/hr

Title: Senior Data Center Network Engineer Location:Springfiedl, Illinois (Onsite/Hybrid) Engagement: Contract Onsite Requirement: 2 days per week initially (first month); then 2-3 days per month ...

Distro

Network Architect

Springfield, IL · On-site

$90 - $100/hr

Title: Senior Data Center Network Engineer Location:Springfiedl, Illinois (Onsite/Hybrid) Engagement: Contract Onsite Requirement: 2 days per week initially (first month); then 2-3 days per month ...

Distro

Network Architect

Springfield, IL · Hybrid

$90 - $100/hr

Title: Senior Data Center Network Engineer Location:Springfiedl, Illinois (Onsite/Hybrid) Engagement: Contract Onsite Requirement: 2 days per week initially (first month); then 2-3 days per month ...

Vergence

Senior ETL/Python Developer

Springfield, IL · On-site

$120K - $162K/yr

The ideal candidate brings strong Tableau and Python engineering expertise, experience working with ... Build and optimize scalable data processing solutions using Python * Support Medicaid analytics and ...

Eaton

Senior Manufacturing Engineer

Lincoln, IL · On-site

$86K - $126K/yr

Eaton's Electrical Sector - ARS division is currently seeking a Senior Manufacturing Engineer. This ... Participates in cost reduction program, computes economic data and implements projects; includes ...

Eaton Aerospace

Senior Manufacturing Engineer

Lincoln, IL · On-site

$86K - $126K/yr

Eaton's Electrical Sector - ARS division is currently seeking a Senior Manufacturing Engineer. This ... Participates in cost reduction program, computes economic data and implements projects; includes ...

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Showing results 1-20

All JobsSr Data Engineer JobsSr Data Engineer Jobs in Springfield, IL

Sr Data Engineer information

See Springfield, IL salary details

$80.3K

$125.2K

$173.4K

How much do sr data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for sr data engineer in Springfield, IL is $125,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $142,700.00 per year, depending on experience, location, and employer.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What are popular job titles related to Sr Data Engineer jobs in Springfield, IL? For Sr Data Engineer jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Sr Data Engineer jobs in Springfield, IL look for? The top searched job categories for Sr Data Engineer jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Sr Data Engineer jobs? Cities near Springfield, IL with the most Sr Data Engineer job openings:
Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Springfield, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,205 per year, or $60.2 per hour.

Senior Azure Data Engineer

DATAMAXIS

Springfield, IL • On-site

$113K - $136K/yr

Contractor

Re-posted 23 days ago

Job description

Job Summary: We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and data products that power analytics, regulatory reporting, operational dashboards, and emerging AI/ML use cases. You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and costefficient data solutions.

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration programs (e.g., Informatica-to-ADF, on-prem warehouse-to-cloud), mentoring mid-level engineers, and shaping engineering standards across the team.

Key Responsibilities:

Pipeline Design & Development

  • Design and build robust, reusable, parameter-driven ingestion and transformation pipeline using Azure Data Factory, Synapse Pipelines, Data Bricks and/or Microsoft Fabric Data Factory.
  • Implement medallion architecture (Bronze / Silver / Gold) on Azure Data Lake Storage Gen2 using Delta Lake, Parquet, and structured streaming patterns.
  • Build performant ELT workflows that leverage pushdown to source systems (Synapse Dedicated SQL Pool, Azure SQL, Teradata) where appropriate.
  • Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark.

Data Modeling & Warehousing

  • Design dimensional models (Kimball star/snowflake) and data vault patterns for analytics consumption.
  • Implement Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data patterns.
  • Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including distribution keys, partitioning, and clustered column store indexes.

Platform Engineering & DevOps

  • Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments.
  • Instrument pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log Analytics, and KQL.
  • Define and enforce coding standards, code review practices, branching strategies, and release management.

Migration & Modernization

  • Lead or contribute to legacy-to-cloud migrations - e.g., Informatica PowerCenter to Azure Data Factory, on-premises Teradata / Oracle / SQL Server to Synapse or Fabric.
  • Perform workload assessment, capacity planning, and cost modeling for target-state architectures.
  • Production incident response for critical pipelines.

Required Qualifications:

  • Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and all three Integration Runtime types (Azure, Self hosted, SSIS).
  • Strong Experience in Data Bricks and PySpark.
  • Production experience with one or more of: Azure Synapse Analytics (Dedicated and Serverless SQL Pools, Spark Pools) OR Azure Databricks (Delta Lake, Unity Catalog) OR Microsoft Fabric (Warehouse, Lakehouse, OneLake).
  • Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical namespace, RBAC + ACLs, lifecycle management, security).
  • Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service principals), and private networking (VNet integration, private endpoints).
  • Monitoring and troubleshooting with Azure Monitor, Log Analytics, and KQL.
  • Advanced SQL - window functions, CTEs, query optimization, execution plan analysis, performance tuning.
  • Strong Python for data engineering - pandas, PySpark, REST API integration, unit testing (pytest).
  • Proficient in T-SQL; familiarity with Spark SQL, KQL, PowerShell, and Bash shell scripting.

Preferred Qualifications:

  • 5+ years of data warehouse development experience.
  • 5+ years of data modeling experience using ERWIN or similar tools.
  • 2+ years of experience with Azure Data Factory and Snowflake.
  • Medicaid Domain Knowledge is a plus.
Employment Type: CONTRACTOR
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About DATAMAXIS

Sourced by ZipRecruiter

Datamaxis is passionate about making our clients win. As a trusted partner, we will bring innovative solutions, technical expertise in Data, cyber security analytics, strategic staffing and AI/ML to help create value (ROI) for our clients, stay competitive and operationally efficient.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Reston, VA, US

Year founded

2003

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