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Non Exempt Databricks Data Engineer Jobs in Illinois

Donato Technologies Inc

Databricks Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Required Skills & Experience · Total Experience: 10+ years in data engineering or related roles. · Cloud Data Platforms: Deep hands on experience with Databricks (notebooks, jobs, clusters, Delta ...

Resultant

Data Engineer - Databricks

Chicago, IL · On-site

$118K - $141K/yr

Strong communication skills and comfort working directly with clients and non-technical ... Databricks Certified Data Engineer Associate or Professional * Experience with Unity Catalog, Delta ...

Resultant

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

Strong communication skills and comfort working directly with clients and non-technical ... Databricks Certified Data Engineer Associate or Professional * Experience with Unity Catalog, Delta ...

Resultant

Data Engineer - Databricks

Chicago, IL · On-site

$118K - $141K/yr

Strong communication skills and comfort working directly with clients and non-technical ... Databricks Certified Data Engineer Associate or Professional * Experience with Unity Catalog, Delta ...

Sidley

Data Engineering Manager

Chicago, IL · Hybrid

The Data Engineering Manager will lead a scrum team of data engineers in the design, development, and delivery of Sidley's enterprise Databricks data platform. This role blends hands-on technical ...

Sidley Austin LLP

Data Engineering Manager

Chicago, IL · On-site

The Data Engineering Manager will lead a scrum team of data engineers in the design, development, and delivery of Sidley's enterprise Databricks data platform. This role blends hands-on technical ...

Databricks

Manager, Field Engineering - MFG

Chicago, IL · On-site

$172K - $237K/yr

S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI's potential to ... The pay range(s) for this role is listed below and represents the expected salary range for non ...

SCI SOLUTIONS GLOBAL

Data Engineer

Chicago, IL

$35 - $38/hr

Data Engineer - PySpark, Databricks & AWS Redshift Location: Chicago, IL (locals Only) Employment Type: W2 Contract We are seeking an experienced Data Engineer with strong hands-on expertise in ...

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All JobsNon Exempt Databricks Data Engineer JobsNon Exempt Databricks Data Engineer Jobs in Illinois

Non Exempt Databricks Data Engineer information

What is the difference between Non Exempt Databricks Data Engineer vs Non Exempt Data Analyst?

AspectNon Exempt Databricks Data EngineerNon Exempt Data Analyst
CertificationsDatabricks certifications, SQL, cloud platform skillsExcel, SQL, data visualization tools
Work EnvironmentCloud-based data platforms, big data environmentsBusiness intelligence tools, spreadsheets, reports
Employer & IndustryTech, finance, healthcare using big data solutionsMarketing, retail, finance analyzing data trends

Non Exempt Databricks Data Engineers focus on building and maintaining data pipelines using Databricks and cloud platforms, often working with big data. Non Exempt Data Analysts interpret data to generate reports and insights. While both roles require SQL skills, Data Engineers need cloud and big data expertise, whereas Data Analysts focus on data visualization and reporting.

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Non Exempt Databricks Data Engineer jobs near you

Databricks Data Engineer

Donato Technologies Inc

Chicago, IL • On-site

$118K - $141K/yr

Other

Posted 7 days ago

Job description

Key Responsibilities
· Pipeline Development – Design, implement, and optimize scalable ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) to ingest structured and semi structured data from multiple sources (APIs, databases, streaming).
· Data Warehousing – Build and maintain cloud data warehouse solutions (Snowflake / Azure Synapse) – design star schemas, fact/dimension tables, and aggregate tables for high performance reporting.
· Data Modeling – Create logical and physical data models for operational and analytical use cases; implement SCD Type 2, slowly changing dimensions, and data vault methodologies where appropriate.
· Performance Tuning – Optimize Spark jobs, SQL queries, and data partitioning strategies to handle petabyte scale data with low latency.
· Governance & Quality – Implement data quality checks, monitoring, and lineage using tools like Great Expectations or custom frameworks; enforce data governance policies (GDPR/CCPA).
· Collaboration – Partner with data analysts, product managers, and engineers to translate business requirements into technical data solutions.
· CI/CD & Automation – Automate deployment of data pipelines using Azure DevOps or GitHub Actions; maintain infrastructure as code (Terraform) for data resources.

Required Skills & Experience
· Total Experience: 10+ years in data engineering or related roles.
· Cloud Data Platforms: Deep hands on experience with Databricks (notebooks, jobs, clusters, Delta Lake, Unity Catalog) – must have production level work.
· Data Warehousing: Proven experience with cloud data warehouses (Snowflake, Azure Synapse, or Redshift) – design, optimisation, and administration.
· Data Modeling: Strong knowledge of dimensional modeling (Kimball/Inmon), relational database design, and experience with tools like ER/Studio or dbt.
· Programming: Expert in Python and SQL – ability to write maintainable, production grade code.
· Big Data: Hands on with Apache Spark (PySpark), distributed computing, and performance tuning.
· Orchestration: Experience with workflow tools (Airflow, Azure Data Factory, or Prefect) for scheduling and monitoring pipelines.
· Version Control: Proficient with Git and collaborative development workflows.

Preferred Qualifications
· Experience with streaming technologies (Kafka, Event Hubs, or Kinesis).
· Knowledge of data mesh or data fabric architectures.
· Familiarity with BI tools (Power BI, Tableau, Looker).
· Databricks certification (e.g., Associate or Professional Data Engineer).
· Experience with dbt (data build tool) and transformation testing.
· Exposure to MLflow or MLOps practices.
Education & Soft Skills
· Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (or equivalent practical experience).
· Strong communication skills
· Self starter with a problem solving mindset and ability to work independently in a hybrid environment.
Keyword: 
Skills: Digital : Snowflake~Digital : Databricks
Experience Required: 10 & Above

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