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Associate Azure Databricks Jobs in Flossmoor, IL

AI Engineer

Chicago, IL

$50K - $112K/yr

As an Associate, you will focus on learning and contributing to projects while developing your ... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building and ...

Data Engineer (AWS, Azure, GCP)

Chicago, IL · On-site

$118K - $141K/yr

Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR * Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer Additional Information We ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Preferred certifications such as Databricks Professional or Azure Data Engineer Associate * Advanced analytical skills to solve complex technical and business problems. * Ability to translate ...

... Python, Databricks, or Snowflake - Engaging in continuous learning to adapt to emerging data ... AWS and Azure - Experience related to IT Audit/SOX or Data Migration/Conversion/Integration ...

The Associate Director of Data Analytics provides technical and people leadership to design, build ... Experience with cloud data architectures and modern platforms (Azure/AWS; Snowflake/Databricks or ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

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Associate Azure Databricks information

See Flossmoor, IL salary details

$44.2K

$104K

$165.9K

How much do associate azure databricks jobs pay per year?

As of Aug 30, 2026, the average yearly pay for associate azure databricks in Flossmoor, IL is $104,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $125,000.00 per year, depending on experience, location, and employer.

What is an Associate Azure Databricks?

An Associate Azure Databricks is a professional who works with the Azure Databricks platform, which is a cloud-based analytics service designed for big data and machine learning. Individuals in this role typically assist in building, managing, and optimizing data pipelines and analytics solutions using Apache Spark on Azure. They often support data engineering and data science teams by preparing data, managing clusters, and ensuring smooth data workflows. This position is ideal for those who have foundational knowledge of cloud computing, data engineering, and analytics.

What are the key skills and qualifications needed to thrive as an Associate Azure Databricks?

To thrive as an Associate Azure Databricks, you need a solid understanding of data engineering fundamentals, cloud computing, and proficiency in SQL, Python, or Scala, often supported by a relevant degree or certification. Familiarity with Azure cloud services, Databricks platform tools, and data integration systems like Apache Spark is typically required. Strong problem-solving, communication, and teamwork skills help you collaborate effectively with data scientists and business stakeholders. These skills are crucial for efficiently managing data workflows, ensuring data quality, and delivering actionable insights in a cloud-based analytics environment.

What are some typical challenges faced by an Associate Azure Databricks, and how can newcomers prepare for them?

As an Associate Azure Databricks, you may encounter challenges such as integrating Databricks with existing data infrastructure, managing large-scale data pipelines, and optimizing Spark workloads for performance and cost. Newcomers can prepare by familiarizing themselves with Spark fundamentals, Azure services, and best practices in data engineering. Collaborating closely with data engineers, architects, and analysts is also key to understanding business requirements and ensuring seamless data workflows.

What is the difference between Associate Azure Databricks vs Data Engineer?

AspectAssociate Azure DatabricksData Engineer
Required CertificationsAzure Data Engineer Associate, Databricks certificationsAzure Data Engineer, cloud platform certifications
Work EnvironmentCollaborates with data scientists and analysts on cloud platformsBuilds and maintains data pipelines and infrastructure
Industry UsageUsed in analytics, AI, and data science projects within cloud environmentsUsed across industries for data integration, ETL, and big data processing

The Associate Azure Databricks role focuses on supporting data analytics and machine learning projects using Databricks on Azure, often working under supervision. In contrast, Data Engineers design and develop data pipelines and infrastructure, with a broader scope in data management. Both roles require similar certifications and work in cloud-based environments, but their responsibilities differ in scope and focus.

What cities near Flossmoor, IL are hiring for Associate Azure Databricks jobs?

Cities near Flossmoor, IL with the most Associate Azure Databricks job openings:

Tax Innovation - Data Governance- Senior Associate

Chicago, IL


Pwc
Finance and Insurance • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

People enjoy working here

Good employer

Recommended by students


$77K - $214K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Industry/Sector

Not Applicable

Specialism

Data Engineering

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Tax Innovation - Data Governance Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
As a Senior Associate, you will leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. You will use critical thinking to break down complex concepts and interpret data to inform insights and recommendations.
In this role at PwC, you will be at the forefront of data engineering, focusing on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your work will be integral to transforming data into insights that drive business growth and enable informed decision-making.
Responsibilities
- Designing and implementing data pipelines to facilitate efficient data processing and analysis
- Developing data integration and transformation solutions to support client decision-making
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data architecture development
- Building and maintaining data infrastructure to support robust data solutions
- Applying analytical thinking to transform raw data into actionable insights
- Managing database security and data anonymization to uphold data integrity
- Collaborating with teams to optimize data strategy and performance tuning
- Leveraging Snowflake Data Warehouse and Snowflake Schema for advanced data modeling
- Validating data quality and executing data validation processes to maintain accuracy
- Navigating complex client situations to build meaningful relationships and deliver quality solutions
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Utilizing Azure Data Factory and Microsoft Azure Databricks
- Developing data architecture and data integration strategies
- Implementing data anonymization and database security best practices
- Excelling in analytical thinking and problem-solving
- Navigating complex data engineering platforms like Snowflake and Databricks
- Demonstrating creativity and intellectual curiosity in data solutions

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $77,000 - $214,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK


What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

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