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Senior Sql Data Engineer Jobs in Springfield, IL

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 ... Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including ...

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 ... Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including ...

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 ... Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including ...

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per ... Implement ELT patterns leveraging SQL pushdown and distributed processing Python & Spark ...

Maximus

Appian Developer

Springfield, IL · On-site

Perform SQL data modeling and database design. * Troubleshoot, debug, and optimize Appian ... Appian Certified Associate or Senior Developer required. * Proficiency in SQL, Relational Databases.

Norstella

RWD Engagement Director

Springfield, IL · Remote

$200K - $260K/yr

About the Role The Engagement Director is a senior leader responsible for account‑level ownership ... Proficiency with SQL/data structures sufficient to guide technical discussions Benefits * Medical ...

Dellfor Technologies

senior java developer

Springfield, IL

$56.75 - $72.25/hr

Good experience in writing SQL Statements, stored procedures Functions, Triggers and Cursors for ... Big data experience. * Teamwork & collaboration skills to work across organizations and lead cross ...

Epsilon

Senior Business Systems Analyst

New City, IL · Remote

... Data Engineers, and Product Owners. * Be responsible for purposeful project documentation ... Ability to assemble, analyze, and evaluate data. * Strong understanding of SQL. * Curious with ...

Vergence

Senior Tableau/Python Developer

Springfield, IL

$120K - $162K/yr

... data processing solutions using Python. • Support Medicaid analytics and federal reporting ... and optimize SQL and stored procedures across relational platforms such as Teradata. • ...

Vergence

Senior Tableau/Python Developer

Springfield, IL · On-site

$120K - $162K/yr

... data processing solutions using Python. • Support Medicaid analytics and federal reporting ... and optimize SQL and stored procedures across relational platforms such as Teradata. • ...

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All JobsSql Data Engineer JobsSenior Sql Data Engineer JobsSenior Sql Data Engineer Jobs in Springfield, IL

Senior Sql Data Engineer information

See Springfield, IL salary details

$80.3K

$125.2K

$173.4K

How much do senior sql data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for senior sql 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.

How does a Senior SQL Data Engineer typically collaborate with data analysts and other stakeholders in an organization?

Senior SQL Data Engineers work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver robust data solutions. They often participate in requirements-gathering sessions, translate business needs into technical specifications, and design or optimize SQL queries, data models, and ETL processes. Effective communication is key, as they must explain complex technical concepts to non-technical team members and ensure data solutions align with business objectives. This collaboration helps ensure the integrity, availability, and usability of data across the organization.

What are Senior SQL Data Engineers?

Senior SQL Data Engineers are experienced professionals who design, develop, and maintain databases using SQL and related technologies. They are responsible for ensuring data is stored efficiently, securely, and is easily accessible for analysis and reporting. In addition to writing advanced SQL queries, they often optimize database performance, manage data integration processes, and collaborate with other IT and business teams to support data-driven decision making. Their role may also involve mentoring junior engineers and implementing best practices for data management.

What is the difference between Senior Sql Data Engineer vs Data Analyst?

AspectSenior Sql Data EngineerData Analyst
Required SkillsSQL, ETL, data warehousing, scripting, database managementSQL, data visualization, statistical analysis, reporting
Work EnvironmentData engineering teams, backend systems, large-scale data infrastructureBusiness units, reporting teams, data visualization tools
CertificationsSQL certifications, cloud platform credentials (AWS, Azure)Data analysis certifications (CAP, Microsoft Certified Data Analyst)

Senior Sql Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data and generate reports. Both roles require SQL expertise but differ in scope and tools used, with engineers handling data architecture and analysts focusing on insights and visualization.

What are the key skills and qualifications needed to thrive as a Senior SQL Data Engineer, and why are they important?

To thrive as a Senior SQL Data Engineer, you need advanced SQL programming skills, strong database design expertise, and experience with data modeling, often supported by a degree in computer science or a related field. Familiarity with database management systems like Microsoft SQL Server, Oracle, or PostgreSQL, ETL tools, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data issues. These skills ensure the efficient management, integrity, and accessibility of data systems that drive business insights and operations.
What are popular job titles related to Senior Sql Data Engineer jobs in Springfield, IL? For Senior Sql Data Engineer jobs in Springfield, IL, the most frequently searched job titles are:
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Senior Sql Data Engineer jobs near you
Senior Azure Data Engineer

Senior Azure Data Engineer

DATAMAXIS

Springfield, IL • On-site

$113K - $136K/yr

Contractor

Re-posted 24 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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