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Work From Home Azure Data Factory Developer Jobs in Illinois

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113.50K - $136.30K/yr

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 ...

Azure Data Engineer

Chicago, IL · Remote

$118K - $141.80K/yr

Design, develop, and implement data platform solutions using Azure Data Factory (ADF), Self-hosted ... Implement DevOps practices and CI/CD pipelines using GitActions. * Collaborate with cross ...

$28 - $30/hr

Develop and manage scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, or ... Work with Machine Learning Engineers and Solution Architects to seamlessly deploy machine learning ...

Lead AzureDataFactory Developer

Rolling Meadows, IL · Remote

$59.25 - $77.75/hr

Lead Azure ADF Developer Location : Rolling Meadows, IL (Remote will Travel monthly 2 days) Type ... Experience in Azure stack Azure Data Factory Azure functions Azure SQL * Strong working knowledge ...

ETL Data Engineer

Springfield, IL · Remote

$113.50K - $136.30K/yr

... from on-prem data warehouses to Azure Data Pipeline Engineering ... Build and maintain pipelines using Azure Data Factory, Synapse Pipelines, and/or Databricks

Data Engineer

Chicago, IL · Remote

$118K - $141.80K/yr

... Factory, Azure Databricks). We are looking for hands-on data management and development of data ... This position may be offered to a candidate authorized to work in the US for his/her/their stated ...

Data Engineer

Chicago, IL · On-site +1

$70K - $100K/yr

... Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate ... Flexible working schedules and work from home options based on client's needs * Professional ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141.60K/yr

... Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses) * Build and optimize data ... Work directly with client stakeholders to gather requirements, communicate technical concepts, and ...

Azure Data Architect

Chicago, IL · Remote

$65.75 - $84.50/hr

Azure Data Architect with Insurance domain Madison, WI or Chicago, IL (Remote will work but need to ... Experience in mapping data elements from Insurance workflow and applications to Operational Data ...

Data Engineer

Chicago, IL · On-site +1

$70K - $100K/yr

... Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate ... Flexible working schedules and work from home options based on client's needs * Professional ...

Large Public Accounting Firm Engagement: 6-12 Months+ Contract Work Model: Fully Remote Rate: $80 ... Microsoft Azure technologies (SQL Server IaaS/PaaS, Synapse, Cosmos DB, Azure Data Factory ...

Cloud Data Engineer

Downers Grove, IL · Remote

$112.60K - $135.20K/yr

In this role, you will leverage your expertise in Azure Data Factory (ADF) and EPIC systems to ... The Engineers will work with CSV, JSON, and YAML files mostly coming from Epic but there will be ...

Azure Data Platform Engineer/Admin

Chicago, IL · Remote

$65.50 - $85.25/hr

Azure Data Platform- Remote Engineer/Admin Design, deploy, and support Azure infrastructure ... Work with developers, architects, and business stakeholders. Implement and maintain monitoring and ...

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Senior Azure Data Engineer

Senior Azure Data Engineer

DATAMAXIS

Springfield, IL • On-site, Remote

$113.50K - $136.30K/yr

Contractor

Posted 7 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.

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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