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Remote Database Security Engineer Jobs in Springfield, IL

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

... security). * Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and ... Strong Python for data engineering pandas, PySpark, REST API integration, unit testing (pytest)

... security models. Qualifications: * 2+ years of hands-on experience in a cybersecurity role -- such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware ...

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Contracts Coordinator

Springfield, IL · On-site +1

$62K - $75K/yr

Revvity | About Us Revvity is a developer and provider of end-to-end solutions designed to help ... This position is available for remote or hybrid at our Hopkinton, MA location. The Contracts ...

... security, defense, and public service delivery. Our work focuses on sustaining, operating, and ... This is a remote position. The Mid-level System Administrator will be supporting Identity ...

Legacy Migration Analyst

Springfield, IL · Remote

$101K - $169K/yr

Coordinate with cross-functional project teams, including data analysts, developers, and business ... Proficiency in data migration tools, databases, and scripting languages relevant to legacy system ...

Legacy Migration Analyst

Springfield, IL · Remote

$101K - $169K/yr

Coordinate with cross-functional project teams, including data analysts, developers, and business ... Proficiency in data migration tools, databases, and scripting languages relevant to legacy system ...

... security, defense, and public service delivery. Our work focuses on sustaining, operating, and ... Citizen without dual citizenship - Bachelor's degree in Business, Information Systems, Engineering ...

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Showing results 1-20

Remote Database Security Engineer information

See Springfield, IL salary details

$60K

$121K

$166K

How much do remote database security engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote database security engineer in Springfield, IL is $121,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $138,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Database Security Engineer vs Remote Database Administrator?

AspectRemote Database Security EngineerRemote Database Administrator
Primary FocusSecuring database systems, implementing security protocols, monitoring threatsManaging database performance, backups, recovery, and user access
Required SkillsDatabase security, encryption, threat detection, security toolsDatabase management, SQL, performance tuning, user management
CertificationsSecurity certifications (CISSP, Security+), database security certificationsDatabase certifications (Oracle, Microsoft SQL Server)
Work EnvironmentIT security teams, cybersecurity departments, remote security operationsDatabase teams, IT operations, remote database management

The main difference between a Remote Database Security Engineer and a Remote Database Administrator lies in their core responsibilities. The Security Engineer focuses on protecting database systems from threats, while the Administrator manages daily database operations. Both roles often require related certifications and may work in similar remote environments, but their primary goals differ: security versus management.

What cities near Springfield, IL are hiring for Remote Database Security Engineer jobs? Cities near Springfield, IL with the most Remote Database Security Engineer job openings:
Infographic showing various Remote Database Security Engineer job openings in Springfield, IL as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $121,026 per year, or $58.2 per hour.
Senior Azure Data Engineer (Remote)

Senior Azure Data Engineer (Remote)

DATAMAXIS

Springfield, IL • Remote

$117K - $140K/yr

Full-time

Posted 13 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