Top 48 Data engineer Jobs in Broad Ripple, In

Data Engineer
Schwarz Partners LP —Carmel, IN
- $110,000 - $120,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Quick Apply
Data Engineer - Data Integration & Analytics Platforms
Healthcare Claims Management —Indianapolis, IN
- Full-time
- Hybrid work
- Azure
- Mid-level
- Office
- Paid holidays
- Health insurance
Quick Apply
12d
Data Engineer III
Vignesh Technological Solutions —Indianapolis, IN
- Computer science
- Computer Science
- 5 years
Databricks Data Engineer
Deloitte —Indianapolis, IN
- $86,700 - $170,900 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Data Engineer
Merchants Bank of Indiana —Carmel, IN
- Full-time
- Azure
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
Data Engineer
DuCharme, McMillen & Associates Inc —Indianapolis, IN
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
- Paid parental leave
- Parental leave
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Data Engineer (in person)
SEP —Westfield, IN
- Full-time
- Azure
- Mid-level
- Office
- Employee stock ownership plan
Senior Data Engineer - Data Integration & Analytics Platforms
Healthcare Claims Management —Indianapolis, IN
- Full-time
- Hybrid work
- Office
- SQL
- Bachelor's degree
- Paid holidays
- Health insurance
Quick Apply
12d
Systems Engineer - Data Center Infrastructure - Hybrid
Community Health Network —Indianapolis, IN
- Full-time
- Hybrid work
- Mid-level
- High school diploma or GED
- Travel
12d
Data Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Indianapolis, IN
- $77,000 - $202,000 a year
- Mid-level
- AWS
- Fair chance
- Paid holidays
- Health insurance
Data Systems/Solutions Engineer
Regenstrief Institute, INC —Indianapolis, IN
- Hybrid work
- Computer science
- Computer Science
- System design
- Free parking
- Paid holidays
Quick Apply
Snowflake Data Engineer
Onebridge —Indianapolis, IN
- Full-time
- Azure
- 5 years
- SQL
Quick Apply
Cloud Data Engineer
CSpring —Indianapolis, IN
- Azure
- Computer Science
- SQL
Quick Apply
4h
Data Engineer - Manager
PRICE WATERHOUSE COOPERS —Indianapolis, IN
- $99,000 - $232,000 a year
- Computer Science
- Mid-level
- AWS
- Paid holidays
- Health insurance
Senior Data Engineer (in person)
SEP —Westfield, IN
- Full-time
- Azure
- Office
- SQL
- Employee stock ownership plan
Data Automation & ETL Engineer
Elements Financial —Indianapolis, IN
- $79,389 - $119,084 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Writing skills
- Health savings account
- Health insurance
Quick Apply
Senior Data Engineer
RADcube —Indianapolis, IN
- Full-time
- SQL
- Senior level
- Communication skills
Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —Indianapolis, IN
- $124,000 - $280,000 a year
- Azure
- 8 years
- AWS
- Paid holidays
- Health insurance
Sr Databricks Data Engineer
Deloitte —Indianapolis, IN
- $137,500 - $193,600 a year
- Full-time
- Azure
- Management
- Computer Science
Lead Data Engineer
IT Labs —Indianapolis, IN
- Full-time
- Remote
- 7 years
- HIPAA
- SQL
Quick Apply
11d

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data engineer jobs near broad ripple, in

Data Engineer

Schwarz Partners LP -
Carmel, IN

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Job Details

Full-time
$110,000 - $120,000 a year

Qualifications

Data model design
Commercial use (data warehousing systems)
Technical engineering
Data Integration (Data management)
Cloud data warehouses
Spark
Qualitative analysis
Schema design
SQL
DAX
Data Architecture Design (Architecture design skills)
Data caching
ETL process automation
Spark implementation
Data performance optimization
Query management
Dimensional modeling

Full Job Description

Schwarz Partners has an exciting opportunity available for a Data Engineer in Carmel, IN! Data Engineers build data pipelines that transform raw, unstructured data into formats that can be used for analysis. They are responsible for creating and maintaining the analytics infrastructure that enables almost every other data function. This includes architectures such as databases, servers, and large-scale processing systems. A Data Engineer uses different technologies to collect and map an organization’s data landscape to help decision-makers find cost savings and optimization opportunities. In addition, data Engineers use this data to display trends in collected analytics information, encouraging transparency with stakeholders.

Schwarz Partners is one of the largest independent manufacturers of corrugated sheets and packaging materials in the U.S. Through our family of companies, we continuously build and strengthen our capabilities. You’ll find our products wherever goods are packaged, shipped, and sold—from innovative retail packaging to colorful in-store displays at pharmacies and grocers. You also may have spotted our trucks on the highway. Schwarz Partners is built around the idea that independence and innovation go hand in hand. Our structure allows us to adapt to change quickly, get new ideas off the ground, and thrive in the marketplace. Our people are empowered to tap into their talents, build their skills, and grow with us.

ESSENTIAL JOB FUNCTIONS FOR THIS POSITION:

Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud technologies.
Assemble large, complex sets of data that meet non-functional and functional business requirements.
Identify, design, and implement internal data-related process improvements.
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues.
Conduct configuration & design of application to better leverage the enterprise.
Prepare data for prescriptive and predictive modeling.
Use effective communication to work with application vendors.
Assist in the creation and quality assurance review of design documents and test results to ensure all project requirements are satisfied.
Ability to advise and implement on improvements to data warehousing and data workflow architecture.
Think outside the box and come up with improvement and efficiency opportunities to streamline business and operational workflows.
Document high-level business workflows and transform into low-level technical requirements.
Ability to analyze complex information sets and communicate that information in a clear well thought out and well laid out manner.
Ability to communicate at varying levels of detail (30,000 ft. view, 10,000 ft. view, granular level) and to produce corresponding documentation at varying levels of abstraction.
Be an advocate for best practices and continued learning.
Ability to communicate with business stakeholders on status of projects/issues.
Ability to prioritize and multi-task between duties at any given time.
Solid communication and interpersonal skills.
Comply with company policies and procedures and all applicable laws and regulations.
General DBA work as needed.
Maintain and troubleshoot existing ETL processes.
Create and maintain BI reports.
Additional duties as assigned.

REQUIRED EDUCATION / EXPERIENCE:

Bachelor’s degree in Computer Science or 4+ years’ experience in related field.

PREFERRED EDUCATION / EXPERIENCE:

Experience developing data workflows.
Ability to perform prescriptive and predictive modeling.

REQUIRED SKILLS:

Demonstrated experience with SQL in a large database environment.
Direct experience utilizing SQL to develop queries or profile data.
Experience in quantitative and qualitative analysis of data.
Experienced level skills in Systems Analysis.
Experienced level skills in Systems Engineering.
Ability to function as a self-starter.

REQUIRED MICROSOFT FABRIC SKILLS:

Strong grasp of OneLake concepts: lakehouses vs. warehouses, shortcuts, mirroring, item/workspace structure.
Hands-on with Delta Lake (Parquet, Delta tables, partitioning, V-ordering, Z-ordering, Vacuum retention).
Understanding of Direct Lake, Import, and DirectQuery trade-offs and when to use each.
Experience designing star schemas and modern medallion architectures (bronze/silver/gold).
Spark/PySpark notebooks (jobs, clusters, caching, optimization, broadcast joins).
Data Factory in Fabric (Pipelines): activities, triggers, parameterization, error handling/retries.
Dataflows Gen2 (Power Query/M) for ELT, incremental refresh, and reusable transformations.
Building/optimizing semantic models; DAX (measures, calculation groups, aggregations).
Ability to multi-task, think on his/her feet and react, apply attention to detail and follow-up, and work effectively and collegially with management staff and end users.

Our organization is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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Refine Your Search

data engineer jobs in broad ripple, in

Data Engineer

Data Engineer - Data Integration & Analytics Platforms

Data Engineer III

Databricks Data Engineer

Data Engineer

Data Engineer

Data Engineer (in person)

Senior Data Engineer - Data Integration & Analytics Platforms

Systems Engineer - Data Center Infrastructure - Hybrid

Data Engineer - Senior Associate

Data Systems/Solutions Engineer

Snowflake Data Engineer

Cloud Data Engineer

Data Engineer - Manager

Senior Data Engineer (in person)

Data Automation & ETL Engineer

Senior Data Engineer

Data Engineer - Senior Manager

Sr Databricks Data Engineer

Lead Data Engineer

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