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Databricks Software Jobs in Indiana (NOW HIRING)

Parkview Health

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without breaking things. * You'll join a team that's warm and grounded. People here help each other, share what ...

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without breaking things. * You'll join a team that's warm and grounded. People here help each other, share what ...

CSpring

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

We invest in Fabric, Databricks, Synapse, and the patterns that keep teams moving fast without breaking things. * You'll join a team that's warm and grounded. People here help each other, share what ...

Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

... Data Science, Software Engineering, or a related quantitative field. • 7+ Years in Data ... Databricks, or BigQuery). Mastery of SQL is non-negotiable. • Advanced Python and/or Go/Java for ...

AAA Hoosier Motor Club

Data Engineer

Indianapolis, IN

$109K - $131K/yr

Hands-on experience with cloud data platforms and pipeline tools; experience with Azure (Data Factory, Azure SQL, ADLS) and Databricks preferred. * Proficiency in SQL and Python. * Experience ...

AAA Hoosier Motor Club

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Hands-on experience with cloud data platforms and pipeline tools; experience with Azure (Data Factory, Azure SQL, ADLS) and Databricks preferred. * Proficiency in SQL and Python. * Experience ...

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Databricks Software information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What are the key skills and qualifications needed to thrive as a Databricks Software Engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks Jobs?

Databricks Jobs are automated tasks or workflows that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Indiana? For Databricks Software jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Indiana look for? The top searched job categories for Databricks Software jobs in Indiana are:
What cities in Indiana are hiring for Databricks Software jobs? Cities in Indiana with the most Databricks Software job openings:
Databricks Software jobs near you
Data Engineer I

Data Engineer I

Parkview Health

Fort Wayne, IN

$113K - $135K/yr

Full-time

Posted 16 days ago

Parkview Health rating

7.3

Company rating: 7.3 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

303rd of 890 rated healthcare providers

Job description

The Data Engineer Level I is focused on supporting the design, development, and maintenance of data systems and pipelines under the guidance of senior engineers. Assists in the collection, processing, and storage of data from various sources to ensure its availability for analysis and reporting. Supports data validation and maintains data quality within the data lake and data warehouse.

Key Responsibilities:

Data Management: Assists in developing and maintaining simple ETL processes. Supports building data pipelines to collect and move data from source systems to storage platforms. Helps with data cleaning and preprocessing to ensure high data quality. Monitors and troubleshoots data pipeline performance and address issues as they arise. Maintains system logs and ensures the smooth operation of data processes. Assists with maintaining and upgrading existing data infrastructure, including databases and data warehouses.

Collaboration: Works closely with senior data engineers and other teams to understand data needs and requirements.

Documentation: Documents data workflows, pipelines, and technical processes. Maintains clear and organized records for data sources and transformations.

Education: Associate's or Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related field; or the equivalent of 4 years practical experience in a comparable job. Microsoft Developer certification a plus, but not required.

Experience: 2 - 3 years of experience in a data engineering, data analysis, data warehouse development or related technical role. Healthcare experience desired, especially Epic (Electronic Health Record system). 

Technical Skills: Good understanding of data warehouse concepts and how they apply to data integration. Knowledge of programming languages such as Python, SQL. Familiarity with relational databases like SQL Server. Strong understanding of SQL for querying and manipulating relational databases. Exposure to data processing tools and frameworks - both on-premises and cloud based. (PySpark, ETL tools like SSIS, Azure data Factory etc.)

Communication & Teamwork: Ability to collaborate effectively with cross-functional teams, such as data scientists, analysts, and senior engineers. Strong attention to detail and ability to follow standard operating procedures.

Desirable Skills: Familiarity with cloud-based platforms like Databricks (AWS, Azure, GCP). Willingness to learn and develop skills in data engineering technologies.

What Parkview Health employees say

Pay

Benefits

Hours and flexibility

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About Parkview Health

Sourced by ZipRecruiter

Parkview Health, headquartered in Fort Wayne, IN, US, operates within the healthcare industry providing a wide range of medical services and community wellness programs. These include primary care, specialty health services, emergency care, rehabilitation, and home health services among others. The non-profit health system was founded in 1878 and continues to serve its surrounding communities with a dedication to quality health and wellness.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Fort Wayne, IN, US

Year founded

1995

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