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Google Data Science Jobs in Indiana (NOW HIRING)

Deloitte

Databricks Data Engineer

Indianapolis, IN

$109K - $131K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ...

SynergisticIT

Junior Software Engineer

Indianapolis, IN · On-site

... apple, google, Paypal, western union, client, visa, walmart lab s etc to name a few. We are ... We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN

$124K - $280K/yr

... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

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How much do google data science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for google data science in Indiana is $108,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,370.00 and $136,396.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Data scientists, including those working at Google, can earn $300,000 or more annually, especially with senior roles, extensive experience, advanced skills in machine learning and big data tools, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which contribute to total earnings at this level.

What are the key skills and qualifications needed to thrive in the Google Data Science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis tools being highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at age 40. Success in data science depends on skills, experience, and continuous learning of tools like Python, R, and SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities with relevant certifications and a strong portfolio.

What is a Google Data Science job?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google Data Science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What is the average salary for a Data Scientist at Google?

The average salary for a Data Scientist at Google is approximately $120,000 to $150,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning and data analysis can earn higher compensation, often including bonuses and stock options.
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Google Data Science jobs near you
Databricks Data Engineer

Databricks Data Engineer

Deloitte

Indianapolis, IN

$109K - $131K/yr

Other

Posted 25 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Databricks Data Engineer on the Core AI & Data team, you will be responsible for:

  • Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
  • Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
  • Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
  • Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
  • Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs
  • A successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.

Qualifications Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
  • 3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
  • 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
  • Experience implementing data models, data integration patterns, and cloud-based data processing workflows
  • Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Delta Lake, Databricks Workflows, and Unity Catalog
  • Experience using Git-based version control and continuous integration/continuous deployment pipelines
  • Experience supporting batch and streaming data workloads
  • Experience with data warehousing, lakehouse architecture, and performance optimization
  • Experience supporting analytics or machine learning data pipelines
  • Experience working in consulting or client service delivery environments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Qualifications:

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Databricks Data Engineer on the Core AI & Data team, you will be responsible for:

  • Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
  • Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
  • Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
  • Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
  • Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs
  • A successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.

Qualifications Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
  • 3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
  • 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
  • Experience implementing data models, data integration patterns, and cloud-based data processing workflows
  • Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Delta Lake, Databricks Workflows, and Unity Catalog
  • Experience using Git-based version control and continuous integration/continuous deployment pipelines
  • Experience supporting batch and streaming data workloads
  • Experience with data warehousing, lakehouse architecture, and performance optimization
  • Experience supporting analytics or machine learning data pipelines
  • Experience working in consulting or client service delivery environments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


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