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Devops Engineer Remote Jobs in Springfield, IL (NOW HIRING)

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

... & 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 ...

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 ... Handle SCD (Type 1/2), CDC, and complex transformation logic Platform & DevOps * Build CI/CD ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

... & 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 operational velocity of your implementation squad. While you continue to manage a curated ... Sacramento $125,500 - $170,000 California Remote (Bay Area) $133,000- $180,000 Colorado Remote $112 ...

New

... and operational velocity of your implementation squad. While you continue to manage a curated ... Sacramento $125,500 - $170,000 California Remote (Bay Area) $133,000- $180,000 Colorado Remote $112 ...

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Devops Engineer Remote information

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How much do devops engineer remote jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for devops engineer remote in Springfield, IL is $59.99, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $68.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote DevOps Engineer, and why are they important?

To thrive as a Remote DevOps Engineer, you need strong skills in software development, infrastructure management, automation, and a solid understanding of cloud platforms, often backed by a relevant degree or certifications like AWS Certified DevOps Engineer. Familiarity with tools such as Jenkins, Docker, Kubernetes, Terraform, and CI/CD pipelines is typically required. Excellent problem-solving, collaboration, and communication skills are crucial, especially when working remotely with distributed teams. These skills and qualities are essential for ensuring seamless deployment, system reliability, and effective teamwork in dynamic, cloud-based environments.

How does a remote DevOps Engineer typically collaborate with development and IT teams?

As a remote DevOps Engineer, collaboration is often achieved through a mix of communication tools like Slack, Jira, and video conferencing platforms. You'll participate in regular stand-ups, planning meetings, and code reviews to stay aligned with both development and IT operations teams. Effective documentation and clear communication are essential, as you'll often troubleshoot issues or update CI/CD pipelines asynchronously. Remote DevOps Engineers also frequently use shared dashboards and monitoring tools to ensure transparency and rapid response to incidents.

What Is the Job of a Remote DevOps Engineer?

As a remote DevOps engineer, you help manage the development of software for use on a company network system. In this role, you work from home using the phone, email, video chat, or other methods of communication to stay in touch with other developers and users throughout the lifecycle of each product. You typically work with a team to ensure rapid and consistent development. This is a relatively new term, but in general, DevOps focuses on having operations and development engineers participate in a full-service lifecycle to help support end-users and ensure the software becomes the best possible product.

What are DevOps Engineers (Remote)?

DevOps Engineers (Remote) are IT professionals who collaborate with development and operations teams to automate, streamline, and improve software development and deployment processes from remote locations. They focus on integrating code, managing infrastructure, monitoring systems, and ensuring continuous integration and delivery (CI/CD) pipelines are efficient and reliable. Working remotely, they use cloud-based tools and platforms to manage servers, deploy applications, and maintain high system reliability without being physically present in an office. Their role is crucial in accelerating development cycles, reducing errors, and ensuring seamless collaboration between dispersed teams.

How to Become a Remote DevOps Engineer

To become a remote DevOps engineer, you typically need at least a bachelor’s degree in software engineering, information technology, or computer science and relevant work experience. You must also have familiarity with coding and IT protocols, as well as knowledge of infrastructure code, agile workflow processes, and the various roles that software and IT play in the product life cycle. Because this is a work from home position, you need to have strong time management skills, the ability to work independently, and reliable internet and phone connection.

What are popular job titles related to Devops Engineer Remote jobs in Springfield, IL? For Devops Engineer Remote jobs in Springfield, IL, the most frequently searched job titles are:
What cities near Springfield, IL are hiring for Devops Engineer Remote jobs? Cities near Springfield, IL with the most Devops Engineer Remote job openings:
Infographic showing various Devops Engineer Remote job openings in Springfield, IL as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,789 per year, or $60 per hour.
Senior Azure Data Engineer (Remote)

Senior Azure Data Engineer (Remote)

DATAMAXIS

Springfield, IL • Remote

$117K - $140K/yr

Full-time

Re-posted 28 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.

DATAMAXIS logo

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