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Manager Databricks Data Engineer Jobs in Illinois

Senior Data Quality Engineer

Chicago, IL · On-site

$109K - $148K/yr

We are seeking a Senior Data Quality Engineer with strong experience in Python, SQL, and automated ... in a Databricks environment. Key Responsibilities: • Build and maintain automated testing ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for structured and ... identity management, and secure data sharing mechanisms Support API-based integrations and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Azure Data Engineer

Chicago, IL

$118K - $141K/yr

ADF Databricks Python SQL Retail experience would be helpful, but not required Job Title: Azure ... You will build scalable data pipelines, manage enterprise data warehouses, and transform massive ...

Hands-on experience with data validation tools (Great Expectations, DQX - Databricks Data Quality ... Experience with test data management and synthetic data generation * Familiarity with ...

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

Build E2E Azure Databricks-based data solutions. * Design, develop, and maintain scalable ETL and ... Able to manage multiple projects with competing deadlines and priorities #LI-Hybrid #LI-OE1 The ...

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Design, build, and manage/monitor data pipelines for data structures encompassing data ... Databricks Jobs/Workflows or Delta Live Tables. * Azure Data Factory for orchestration (pipelines ...

Data Engineer II

Chicago, IL · On-site

$117K - $141K/yr

You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...

Data Engineer II

Chicago, IL

$117K - $141K/yr

You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...

Data Engineer

Chicago, IL

$118K - $141K/yr

... manage field mappings and transformations to support consistent downstream consumption. Data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ... Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for ...

Data Engineer

Chicago, IL

$118K - $141K/yr

... HDFS, Databricks, Iceberg, etc) * Experience with Apache Spark, Apache Flink or similar tools ... Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ... Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for ...

Showing results 21-40

Manager Databricks Data Engineer information

What is the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

What are the most commonly searched types of Databricks Data Engineer jobs in Illinois? The most popular types of Databricks Data Engineer jobs in Illinois are:
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What cities in Illinois are hiring for Manager Databricks Data Engineer jobs? Cities in Illinois with the most Manager Databricks Data Engineer job openings:

Senior Data Engineer (Azure Databricks)

Finoit Inc.

Chicago, IL • On-site

$148K - $164K/yr

Other

Posted 24 days ago


Job description

Senior Data Engineer (Azure Databricks)

Location: Chicago, IL (Hybrid – 3 days onsite, 2 days remote)
Job Type: Full-Time / Direct Hire
Salary: $148,000 - $164,000 (DOE)

We are seeking a highly skilled Senior Data Engineer to join a growing data engineering team. The ideal candidate will have strong experience designing, building, and maintaining scalable end-to-end data pipelines in modern cloud environments, with expertise in Azure Databricks.

Responsibilities
  • Design, develop, and maintain scalable end-to-end data pipelines.
  • Build data ingestion, validation, transformation, and governance frameworks.
  • Develop reusable, metadata-driven data pipeline solutions.
  • Optimize data processing performance and troubleshoot complex data issues.
  • Design and implement scalable data architecture to support business needs.
  • Collaborate with cross-functional teams to deliver reliable data solutions.
  • Implement data quality, monitoring, and testing best practices.
  • Work with cloud-native data platforms and services to support enterprise analytics.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of hands-on experience building and owning end-to-end data pipelines.
  • Expert-level proficiency in Python and SQL.
  • Strong experience with data ingestion, transformation, validation, and governance.
  • Ability to design scalable data architectures and clearly communicate technical solutions.
  • Experience building reusable, metadata-driven pipelines.
  • Strong troubleshooting, debugging, and performance optimization skills.
  • Hands-on experience with data modeling, testing, monitoring, and data quality practices.
Preferred Qualifications
  • Strong experience with Azure Databricks (required/preferred platform).
  • Experience with Azure Data Factory and other Azure cloud data services.
  • Familiarity with enterprise data engineering best practices and cloud-native architectures.
Work Arrangement
  • Hybrid schedule: 3 days onsite per week in Chicago, IL.
  • Local candidates are strongly preferred.