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Flexible Databricks Data Engineer Jobs in Illinois

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 ...

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and ... Accountability & Ownership Resultant offers a flexible, high-trust environment, paired with a ...

Data Engineer - Databricks

Chicago, IL · On-site

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and ... Accountability & Ownership Resultant offers a flexible, high-trust environment, paired with a ...

Data Engineer - Databricks

Chicago, IL · On-site

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and ... Accountability & Ownership Resultant offers a flexible, high-trust environment, paired with a ...

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

Data Engineering Manager

Chicago, IL · On-site

$118K - $141K/yr

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 ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

We offer a flexible working policy that empowers iManage employees to balance work and well-being ... Hands-on production experience with Databricks, Delta Lake, and medallion architecture.

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

We offer a flexible working policy that empowers iManage employees to balance work and well-being ... Hands-on production experience with Databricks, Delta Lake, and medallion architecture.

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

We offer a flexible working policy that empowers iManage employees to balance work and well-being ... Hands-on production experience with Databricks, Delta Lake, and medallion architecture.

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 ...

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 ...

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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL (3 days office) Employment: Contract Data Engineer with ... Work with Databricks for data processing. * Utilize AWS services like S3, CloudWatch, IAM, SNS, and ...

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Flexible Databricks Data Engineer information

What is the difference between Flexible Databricks Data Engineer vs Cloud Data Engineer?

AspectFlexible Databricks Data EngineerCloud Data Engineer
CredentialsProficiency in Databricks, Spark, SQL, Python, cloud platforms (AWS, Azure, GCP)Cloud platform certifications (AWS, Azure, GCP), SQL, Python, data pipeline skills
Work EnvironmentData engineering within Databricks environment, collaborative teams, cloud infrastructureDesigning and managing data solutions on cloud platforms, often across multiple services
Industry UsageTech, finance, healthcare, retail using Databricks for big data processingBroad industry use, focusing on cloud infrastructure and data pipelines

Flexible Databricks Data Engineers specialize in building data pipelines within the Databricks platform, leveraging Spark and cloud services. Cloud Data Engineers focus on designing and maintaining data solutions across various cloud environments. Both roles require cloud and SQL skills, but the Databricks Data Engineer emphasizes Databricks-specific tools and Spark expertise.

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:

What cities in Illinois are hiring for Flexible Databricks Data Engineer jobs?

Cities in Illinois with the most Flexible Databricks Data Engineer job openings:

Databricks Data Engineer

Donato Technologies Inc

Chicago, IL • On-site

$118K - $141K/yr

Other

Posted 4 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