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Remote Snowflake Jobs in Illinois (NOW HIRING)

Senior Azure Data Engineer

Springfield, IL ยท On-site +1

$113K - $136K/yr

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 ...

Senior Data Architect

Chicago, IL ยท On-site +1

$150K - $175K/yr

Integrate DBT with Collibra and Snowflake for transparency and alignment. Data Engineering ... Hybrid work schedule (Monday- Thursday onsite, Fridays remote) * Free brand-new gym in the Chicago ...

Senior Data Architect

Chicago, IL ยท On-site +1

$150K - $175K/yr

Integrate DBT with Collibra and Snowflake for transparency and alignment. Data Engineering ... Hybrid work schedule (Monday- Thursday onsite, Fridays remote) * Free brand-new gym in the Chicago ...

Consultant, Advisory (Atlanta)

Chicago, IL ยท On-site +1

$65K - $95K/yr

R or Python Statistical Programming, Structured Query Language (SQL), Tableau/Power BI, Snowflake ... and remote work for focused tasks. Inclusivity & Accessibility Altus Group is committed to ...

Director of Data Science

Chicago, IL ยท On-site +1

$153K - $229K/yr

Experience in SQL and familiarity with cloud-native environments (e.g., Snowflake, Sagemaker). Able ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Showing results 41-60

Remote Snowflake information

What are the key skills and qualifications needed to thrive in the remote Snowflake position?

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What is a remote Snowflake?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

Does Remote Snowflake hire remotely?

Remote Snowflake positions are often available for remote work, depending on the role and company policies. Many companies that use Snowflake for data warehousing offer remote opportunities, especially for roles involving data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for remote work options and requirements.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

Does Remote Snowflake have a work from home policy?

Remote Snowflake positions typically offer flexible work arrangements, including the option to work from home, depending on the role and team requirements. Many remote roles in data and cloud environments prioritize virtual collaboration tools and asynchronous communication. Candidates should review specific job postings for detailed work-from-home policies.
What are the most commonly searched types of Snowflake jobs in Illinois? The most popular types of Snowflake jobs in Illinois are:
What job categories do people searching Remote Snowflake jobs in Illinois look for? The top searched job categories for Remote Snowflake jobs in Illinois are:
What cities in Illinois are hiring for Remote Snowflake jobs? Cities in Illinois with the most Remote Snowflake job openings:
Infographic showing various Remote Snowflake job openings in Illinois as of August 2026, with employment types broken down into 91% Full Time, 1% Part Time, and 8% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

Senior Azure Data Engineer

DATAMAXIS

Springfield, IL โ€ข On-site, Remote

$113K - $136K/yr

Contractor

Re-posted 18 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