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Jr. Data Engineer – Databricks / PySpark / Power BI

Aptino

Lincolnshire, Illinois • Today

Easy Apply

Contract

Depends on Experience

Data Architect I

LURIE CHILDRENS HOSPITAL

North Chicago, Illinois • Today

Full-time

USD 93,600.00 - 154,440.00 per year

Entry-Level Data Analyst

Synergie Systems

Chicago, Illinois • 3d ago

Easy Apply

Contract

35 - 40

Associate Data Engineer 2027

IBM

Chicago, Illinois • Today

Full-time

Associate Data Engineer 2027 - AI & Data Analytics

IBM

Chicago, Illinois • Today

Full-time

Jr Data Engineer

Brooksource

Remote • Today

Contract

$30.00 - $40.00

Entry level Data Analyst

Dhalite Inc.

Hybrid in Chicago, Illinois • 15d ago

Easy Apply

Full-time

$60,000+

Sr. Data Engineer I

iHerb inc

Remote • 12d ago

Full-time

USD 116,000.00 - 170,000.00 per year

Junior Python AI / Data Engineer

Teqdata

Remote • Today

Easy Apply

Contract

60 - 70

Entry-Level Databricks

Tekcel8

Remote • 5d ago

Easy Apply

Contract

20 - 40

Entry-Level Business Data Analyst

Dhalite Inc.

Remote • 2d ago

Easy Apply

Full-time

70,000 - 75,000

Data Engineer - AI, Agents, & Context - Revenue Cycle (Associate)

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 95,000.00 - 130,000.00 per year

Data Engineer - AI, Agents, & Context - Clinical (Sr. Associate)

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 110,000.00 - 150,000.00 per year

Data Operations Engineer Associate

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 100,000.00 - 145,000.00 per year

Job Details

Skills

Offshoring
Google Cloud Platform
Incident Management
Microsoft Azure
Functional Requirements
Good Clinical Practice
Management
Data Processing
Databricks
ELT
Extract, Transform, Load
Root Cause Analysis
SQL
Scalability
Production Support
Query Optimization
Reporting
Optimization
Performance Tuning
Problem Solving
Microsoft Power BI
Offshore Development
Operational Efficiency
DAX
Dashboard
Data Engineering
Data Modeling
Conflict Resolution
Continuous Improvement
PySpark
Analytical Skill
Analytics
Stakeholder Management
Communication
Customer Facing
Semantics
Workflow
ETL
RCA
GCP
dashboards
Power BI
troubleshooting
client-facing communication
Expert-level SQL

Offshoring
Google Cloud Platform
Incident Management
Microsoft Azure
Functional Requirements
Good Clinical Practice
Management
Data Processing
Databricks
ELT
Extract, Transform, Load
Root Cause Analysis
SQL
Scalability
Production Support
Query Optimization
Reporting
Optimization
Performance Tuning
Problem Solving
Microsoft Power BI
Offshore Development
Operational Efficiency
DAX
Dashboard
Data Engineering
Data Modeling
Conflict Resolution
Continuous Improvement
PySpark
Analytical Skill
Analytics
Stakeholder Management
Communication
Customer Facing
Semantics
Workflow
ETL
RCA
GCP
dashboards
Power BI
troubleshooting
client-facing communication
Expert-level SQL

Summary

Role: Jr. Data Engineer – Databricks / PySpark / Power BI
Location: Lincolnshire, IL – Onsite
Duration: 12 Months

Job Overview:

We are seeking an experienced Data Engineer to take ownership of enterprise data engineering, analytics, and production support initiatives. This is a hands-on technical role requiring strong expertise in SQL, Databricks, PySpark, and Power BI, along with the ability to work directly with client stakeholders and coordinate distributed/offshore engineering teams.

The ideal candidate will be responsible for the full lifecycle of data solutions—from requirements and architecture through development, production support, troubleshooting, optimization, and continuous improvement.

Key Responsibilities:

Design, develop, enhance, and support enterprise-scale data pipelines and data-driven business solutions.
Build and optimize robust ETL/ELT pipelines using Databricks, PySpark, and advanced SQL.
Develop efficient data models and perform SQL query optimization, performance tuning, and troubleshooting.
Develop and maintain Power BI dashboards, reports, semantic/data models, and analytics solutions, including DAX.
Translate business and functional requirements into scalable technical data solutions.
Partner directly with client stakeholders to understand requirements, communicate technical solutions, and manage expectations.
Take ownership of production support, including incident investigation, troubleshooting, problem resolution, and root cause analysis (RCA).
Drive continuous improvement initiatives focused on performance, reliability, automation, scalability, and operational efficiency.
Coordinate with offshore development/support teams, monitor delivery, and ensure solutions meet quality and timeline expectations.
Identify opportunities to automate repetitive processes and improve development and operational workflows.
Support data platform enhancements, releases, and production deployments while maintaining platform stability.
Provide technical guidance and ensure end-to-end ownership of assigned data engineering initiatives.

Required Qualifications:

5+ years of overall IT experience, with at least 4+ years in Data Engineering and Analytics.
Expert-level SQL skills, including query optimization, complex queries, data modeling, and performance tuning.
Strong hands-on experience with Databricks, preferably in a Google Cloud Platform environment; experience must be with non-Azure Databricks.
Strong development experience using PySpark for large-scale data processing and transformation.
Advanced Power BI experience, including DAX, dashboard development, reporting, and data modeling.
Proven experience designing, developing, and supporting large-scale ETL/ELT pipelines and enterprise data platforms.
Hands-on experience with production support, incident management, troubleshooting, and RCA.
Strong client-facing communication and stakeholder management skills.
Experience working in an onsite/offshore delivery model and coordinating distributed engineering teams.
Strong analytical and problem-solving skills with the ability to bridge business requirements and technical implementation.

Preferred Skills:

Google BigQuery
Python
Delta Lake
Data Lakehouse architecture
CI/CD
DataOps
Data pipeline automation and performance optimization

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90999382
Position Id: 9061929
Posted 5 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Anchal Khapekar

Recruiter @ Aptino

View Profile

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Job Details

Skills

Offshoring
Google Cloud Platform
Incident Management
Microsoft Azure
Functional Requirements
Good Clinical Practice
Management
Data Processing
Databricks
ELT
Extract, Transform, Load
Root Cause Analysis
SQL
Scalability
Production Support
Query Optimization
Reporting
Optimization
Performance Tuning
Problem Solving
Microsoft Power BI
Offshore Development
Operational Efficiency
DAX
Dashboard
Data Engineering
Data Modeling
Conflict Resolution
Continuous Improvement
PySpark
Analytical Skill
Analytics
Stakeholder Management
Communication
Customer Facing
Semantics
Workflow
ETL
RCA
GCP
dashboards
Power BI
troubleshooting
client-facing communication
Expert-level SQL

Offshoring
Google Cloud Platform
Incident Management
Microsoft Azure
Functional Requirements
Good Clinical Practice
Management
Data Processing
Databricks
ELT
Extract, Transform, Load
Root Cause Analysis
SQL
Scalability
Production Support
Query Optimization
Reporting
Optimization
Performance Tuning
Problem Solving
Microsoft Power BI
Offshore Development
Operational Efficiency
DAX
Dashboard
Data Engineering
Data Modeling
Conflict Resolution
Continuous Improvement
PySpark
Analytical Skill
Analytics
Stakeholder Management
Communication
Customer Facing
Semantics
Workflow
ETL
RCA
GCP
dashboards
Power BI
troubleshooting
client-facing communication
Expert-level SQL

Summary

Role: Jr. Data Engineer – Databricks / PySpark / Power BI
Location: Lincolnshire, IL – Onsite
Duration: 12 Months

Job Overview:

Key Responsibilities:

Design, develop, enhance, and support enterprise-scale data pipelines and data-driven business solutions.
Build and optimize robust ETL/ELT pipelines using Databricks, PySpark, and advanced SQL.
Develop efficient data models and perform SQL query optimization, performance tuning, and troubleshooting.
Develop and maintain Power BI dashboards, reports, semantic/data models, and analytics solutions, including DAX.
Translate business and functional requirements into scalable technical data solutions.
Partner directly with client stakeholders to understand requirements, communicate technical solutions, and manage expectations.
Take ownership of production support, including incident investigation, troubleshooting, problem resolution, and root cause analysis (RCA).
Drive continuous improvement initiatives focused on performance, reliability, automation, scalability, and operational efficiency.
Coordinate with offshore development/support teams, monitor delivery, and ensure solutions meet quality and timeline expectations.
Identify opportunities to automate repetitive processes and improve development and operational workflows.
Support data platform enhancements, releases, and production deployments while maintaining platform stability.
Provide technical guidance and ensure end-to-end ownership of assigned data engineering initiatives.

Required Qualifications:

5+ years of overall IT experience, with at least 4+ years in Data Engineering and Analytics.
Expert-level SQL skills, including query optimization, complex queries, data modeling, and performance tuning.
Strong hands-on experience with Databricks, preferably in a Google Cloud Platform environment; experience must be with non-Azure Databricks.
Strong development experience using PySpark for large-scale data processing and transformation.
Advanced Power BI experience, including DAX, dashboard development, reporting, and data modeling.
Proven experience designing, developing, and supporting large-scale ETL/ELT pipelines and enterprise data platforms.
Hands-on experience with production support, incident management, troubleshooting, and RCA.
Strong client-facing communication and stakeholder management skills.
Experience working in an onsite/offshore delivery model and coordinating distributed engineering teams.
Strong analytical and problem-solving skills with the ability to bridge business requirements and technical implementation.

Preferred Skills:

Google BigQuery
Python
Delta Lake
Data Lakehouse architecture
CI/CD
DataOps
Data pipeline automation and performance optimization

Dice Id: 90999382
Position Id: 9061929
Posted 5 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Anchal Khapekar

Recruiter @ Aptino

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Senior Data Engineer

Chicago, Illinois

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Today

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$140000 - $170000

Senior Data Engineer

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•

Today

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USD 82,000.00 - 120,000.00 per year

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