Data Engineer
Chicago, IL · On-site
$118K - $141K/yr
As a Data Engineer, you will design and build data foundations that power analytics and AI ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...
Data Engineer
Chicago, IL · On-site
$118K - $141K/yr
As a Data Engineer, you will design and build data foundations that power analytics and AI ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...
Azure Data Engineer
Chicago, IL · On-site
$56.75 - $70.25/hr
Azure Data engineer: Min. 10+ years of experience with good work experience in Banking domainStrong experience in Azure Databricks| ADLS| Synapse and Azure Data FactoryExperience in creating data ...
Azure Data Engineer
Chicago, IL · On-site
$56.75 - $70.25/hr
Azure Data engineer: Min. 10+ years of experience with good work experience in Banking domainStrong experience in Azure Databricks| ADLS| Synapse and Azure Data FactoryExperience in creating data ...
Data Engineer
Chicago, IL · On-site
$118K - $141K/yr
The Data Engineer role involves designing and building data foundations that power analytics and AI ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...
Data Engineer
Chicago, IL · On-site
$118K - $141K/yr
The Data Engineer role involves designing and building data foundations that power analytics and AI ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...
Data Engineer
$118K - $141K/yr
We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... HDFS, Databricks, Iceberg, etc) * Experience with Apache Spark, Apache Flink or similar tools
Data Engineer
$118K - $141K/yr
We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... HDFS, Databricks, Iceberg, etc) * Experience with Apache Spark, Apache Flink or similar tools
Data Engineer
Chicago, IL · Hybrid
$118K - $141K/yr
Databricks Jobs/Workflows or Delta Live Tables. * Azure Data Factory for orchestration (pipelines ... Data engineering, data modeling, Agentic AI and automation, and data solution operationalization
Data Engineer
Chicago, IL · Hybrid
$118K - $141K/yr
Databricks Jobs/Workflows or Delta Live Tables. * Azure Data Factory for orchestration (pipelines ... Data engineering, data modeling, Agentic AI and automation, and data solution operationalization
Associate Data Engineer
Naperville, IL · Remote
$114K - $137K/yr
About the Role We're looking for an Associate Data Engineer to join our team and help make data ... Use tools like Databricks, BigQuery, Redshift, dbt, and command-line utilities * Collaborate with ...
Associate Data Engineer
Naperville, IL · Remote
$114K - $137K/yr
About the Role We're looking for an Associate Data Engineer to join our team and help make data ... Use tools like Databricks, BigQuery, Redshift, dbt, and command-line utilities * Collaborate with ...
Senior Data Engineer
Bolingbrook, IL · On-site
$102K - $140K/yr
The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...
Senior Data Engineer
Bolingbrook, IL · On-site
$102K - $140K/yr
The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...
Senior Data Engineer
Bolingbrook, IL · On-site
$102K - $140K/yr
The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...
Senior Data Engineer
Bolingbrook, IL · On-site
$102K - $140K/yr
The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...
Senior Data Engineer
Bolingbrook, IL · On-site
$102K - $140K/yr
The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...
Senior Data Engineer
Bolingbrook, IL · On-site
$102K - $140K/yr
The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...
Lead Data Engineer-Cook, IL-Hybrid
Mccook, IL · On-site
$114K - $137K/yr
Lead Data Engineer Hybrid Cook, IL Duration of the project : 3-4 Months Contract * Strong Experience in ETL / Data Warehouse * Strong Experience in Databricks, Unity Catalogue, Medallion Architecture ...
Quick apply
Lead Data Engineer-Cook, IL-Hybrid
Mccook, IL · On-site
$114K - $137K/yr
Lead Data Engineer Hybrid Cook, IL Duration of the project : 3-4 Months Contract * Strong Experience in ETL / Data Warehouse * Strong Experience in Databricks, Unity Catalogue, Medallion Architecture ...
Databricks Engineer
Chicago, IL · On-site
$118K - $141K/yr
Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...
Quick apply
Databricks Engineer
Chicago, IL · On-site
$118K - $141K/yr
Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...
Principal Data Engineer
Chicago, IL · On-site
$118K - $141K/yr
... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...
Principal Data Engineer
Chicago, IL · On-site
$118K - $141K/yr
... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...
Data Engineer
Lake Forest, IL · On-site
$95K - $158K/yr
As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for ... Hands-on experience with at least one modern cloud data platform, such as Snowflake or Databricks ...
Data Engineer
Lake Forest, IL · On-site
$95K - $158K/yr
As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for ... Hands-on experience with at least one modern cloud data platform, such as Snowflake or Databricks ...
Principal Data Engineer
$118K - $141K/yr
... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...
Principal Data Engineer
$118K - $141K/yr
... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...
Data Engineer
Lake Forest, IL · On-site
$95K - $158K/yr
As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for ... Hands-on experience with at least one modern cloud data platform, such as Snowflake or Databricks ...
Data Engineer
Lake Forest, IL · On-site
$95K - $158K/yr
As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for ... Hands-on experience with at least one modern cloud data platform, such as Snowflake or Databricks ...
Data Engineer
Chicago, IL · On-site
$118K - $141K/yr
They are seeking a dedicated and experienced Data Engineer to architect and develop their Big Data ... Databricks, Iceberg, etc) • Experience with Apache Spark, Apache Flink or similar tools • ...
Data Engineer
Chicago, IL · On-site
$118K - $141K/yr
They are seeking a dedicated and experienced Data Engineer to architect and develop their Big Data ... Databricks, Iceberg, etc) • Experience with Apache Spark, Apache Flink or similar tools • ...
... Data Factory and Databricks. * Construct and maintain enterprise-level integrations using the ... Knowledge of DevOps processes (including CI/CD) and Infrastructure as Code fundamentals.
... Data Factory and Databricks. * Construct and maintain enterprise-level integrations using the ... Knowledge of DevOps processes (including CI/CD) and Infrastructure as Code fundamentals.
Data Engineer
O Fallon, IL · On-site
$61K - $141K/yr
Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS ... as well as contract-specific affordability and organizational requirements. The projected ...
Data Engineer
O Fallon, IL · On-site
$61K - $141K/yr
Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS ... as well as contract-specific affordability and organizational requirements. The projected ...
Lead Data Engineer
Chicago, IL · Remote
$105K - $139K/yr
We are looking for a Lead Data Engineer who's ready to do more than just build pipelines on Databricks and AWS. You will help shape enterprise analytics strategy, influence architecture, and partner ...
Lead Data Engineer
Chicago, IL · Remote
$105K - $139K/yr
We are looking for a Lead Data Engineer who's ready to do more than just build pipelines on Databricks and AWS. You will help shape enterprise analytics strategy, influence architecture, and partner ...
Data Engineer
O Fallon, IL · On-site
$61K - $141K/yr
Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS ... as well as contract-specific affordability and organizational requirements. The projected ...
Data Engineer
O Fallon, IL · On-site
$61K - $141K/yr
Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS ... as well as contract-specific affordability and organizational requirements. The projected ...
Contract Databricks Data Engineer information
What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?
As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.
What is a contract Databricks data engineer?
Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.
What skills and qualifications are needed to thrive as a contract Databricks data engineer?
To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
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Job description
Job Summary:
Inspire11 is a modern business and technology consulting firm that values creativity and collaboration. As a Data Engineer, you will design and build data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value.
Responsibilities:
• Design and build scalable data pipelines using Python, PySpark, SQL, and similar frameworks and languages to ingest, transform, and prepare data for analytics and AI use cases.
• Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and similar modern cloud data platforms.
• Define and build scalable ingestion patterns for structured and unstructured data
• Analyze data structures and sources to define transformation logic and ensure data quality and consistency.
• Implement data models and governance practices, including privacy controls such as PII masking and tokenization.
• Apply software development best practices—including version control, unit testing, and CI/CD pipelines—to deliver reliable and maintainable code.
• Collaborate with business and technical teams to translate requirements into clear technical designs using source-to-target mapping and logical models.
• Support data consumption needs by creating BI-ready datasets and enabling reporting, dashboards, and AI use cases.
• Engage directly with clients to share progress, provide recommendations, and align on deliverables.
• Explore emerging tech, including practical applications of AI/ML to automate data workflows, improve pipeline observability, and optimize performance.
• Bring a forward-thinking mindset to AI-powered solutions, including agentic solutions and LLM integrations, helping clients and teams navigate what's possible as the AI landscape evolves.
Qualifications:
Required:
• 3+ years of experience in data engineering, analytics engineering, or software development.
• Proficiency in SQL and Python, with hands-on experience building or maintaining data pipelines.
• Experience with cloud hyperscaler platforms including AWS, Azure, or GCP.
• Experience with modern cloud data stacks, such as Fabric, Databricks, Snowflake, Synapse, or Redshift.
• Understanding of AI/ML concepts, and curiosity to explore their role in data automation and augmentation.
• Experience with data warehouse design, dimensional modeling, or analytical data models.
• Knowledge of software development practices, including Git, automated testing, and CI/CD.
• Awareness of data governance and security principles, including privacy, cataloging, and compliance.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent training and project experience.
Company:
Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for clients, employees, and communities. It is a sub-organization of Insight. Founded in 2016, the company is headquartered in Chicago, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Inspire11 is a modern business and technology consulting firm that values creativity and collaboration. As a Data Engineer, you will design and build data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value.
Responsibilities:
• Design and build scalable data pipelines using Python, PySpark, SQL, and similar frameworks and languages to ingest, transform, and prepare data for analytics and AI use cases.
• Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and similar modern cloud data platforms.
• Define and build scalable ingestion patterns for structured and unstructured data
• Analyze data structures and sources to define transformation logic and ensure data quality and consistency.
• Implement data models and governance practices, including privacy controls such as PII masking and tokenization.
• Apply software development best practices—including version control, unit testing, and CI/CD pipelines—to deliver reliable and maintainable code.
• Collaborate with business and technical teams to translate requirements into clear technical designs using source-to-target mapping and logical models.
• Support data consumption needs by creating BI-ready datasets and enabling reporting, dashboards, and AI use cases.
• Engage directly with clients to share progress, provide recommendations, and align on deliverables.
• Explore emerging tech, including practical applications of AI/ML to automate data workflows, improve pipeline observability, and optimize performance.
• Bring a forward-thinking mindset to AI-powered solutions, including agentic solutions and LLM integrations, helping clients and teams navigate what's possible as the AI landscape evolves.
Qualifications:
Required:
• 3+ years of experience in data engineering, analytics engineering, or software development.
• Proficiency in SQL and Python, with hands-on experience building or maintaining data pipelines.
• Experience with cloud hyperscaler platforms including AWS, Azure, or GCP.
• Experience with modern cloud data stacks, such as Fabric, Databricks, Snowflake, Synapse, or Redshift.
• Understanding of AI/ML concepts, and curiosity to explore their role in data automation and augmentation.
• Experience with data warehouse design, dimensional modeling, or analytical data models.
• Knowledge of software development practices, including Git, automated testing, and CI/CD.
• Awareness of data governance and security principles, including privacy, cataloging, and compliance.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent training and project experience.
Company:
Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for clients, employees, and communities. It is a sub-organization of Insight. Founded in 2016, the company is headquartered in Chicago, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Inspire11
Sourced by ZipRecruiter
Industry
Business management consulting
Company size
51 - 200 Employees
Headquarters location
Chicago, IL, US
Year founded
2016