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Gcp Data Engineer Jobs in Indiana (NOW HIRING)

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

... data pipelines| model training| and deployment infrastructure on cloud platforms (Azure| AWS| GCP ... prompt engineering| and generative AI platforms • Hands-on knowledge of cloud-based AI/ML ...

Senior AI/ML Engineer

Indianapolis, IN

$99K - $137K/yr

... GCP/Azure) ETL workflows using Spark, Glue, Airflow, • Design, develop, and maintain scalable ... data pipelines, APIs, and LLM workflows, ensuring code quality and reusability. • Craft, test ...

Sr DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

Responsibilities ● Maintenance and Monitoring of existing cloud infrastructure (GCP + AWS) ● ... data privacy standards/regulations

These solutions are powered by engineering for business advantage, transforming mission-critical ... Familiarity with cloud platforms such as AWS, Azure, or GCP. * Experience with data visualization ...

Applies data extraction, transformation and loading techniques in order to connect large data sets ... Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands-on experience ...

Applies data extraction, transformation and loading techniques in order to connect large data sets ... Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands-on experience ...

... AWS/GCP). * Establish technical standards, best practices, architectural frameworks, and ... B.S. in computer science, life science, data science or similar fields with 6+ years of experience ...

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Gcp Data Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do gcp data engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for gcp data engineer in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a GCP Data Engineer job?

A GCP Data Engineer is responsible for designing, building, and managing data processing systems on Google Cloud Platform. They work with tools like BigQuery, Dataflow, and Dataproc to process, store, and analyze large datasets efficiently. Their role involves optimizing data pipelines, ensuring data quality, and implementing security best practices. They also collaborate with data analysts and scientists to support business intelligence and machine learning initiatives.

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

To thrive as a GCP Data Engineer, you need strong skills in data engineering, programming (such as Python or Java), and experience with Google Cloud Platform services like BigQuery, Dataflow, and Cloud Storage, often backed by a relevant degree or certification. Familiarity with tools such as Terraform, Apache Beam, and GCP-specific certifications like Professional Data Engineer are highly valued. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills for this role. These competencies are crucial for building scalable data solutions, ensuring data quality, and collaborating effectively within cross-functional teams.

What types of projects or day-to-day tasks does a GCP Data Engineer typically work on?

As a GCP Data Engineer, you will design and implement data pipelines, process large datasets using GCP tools, and ensure data is available and accessible for analytics and business intelligence purposes. Your daily tasks might include creating ETL workflows, optimizing data warehouse performance, collaborating with data scientists, and troubleshooting data ingestion issues. Many teams operate in an agile environment, so you can expect regular interaction with product managers, analysts, and other engineers. This hands-on, collaborative nature of the role means you'll have opportunities to work on impactful projects that directly influence business decisions and gain exposure to cutting-edge cloud technologies.

What are the most commonly searched types of Gcp Data Engineer jobs in Indiana? The most popular types of Gcp Data Engineer jobs in Indiana are:
What are popular job titles related to Gcp Data Engineer jobs in Indiana? For Gcp Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Gcp Data Engineer jobs in Indiana look for? The top searched job categories for Gcp Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Gcp Data Engineer jobs? Cities in Indiana with the most Gcp Data Engineer job openings:
Infographic showing various Gcp Data Engineer job openings in Indiana as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,433 per year, or $59.3 per hour.
AI/ML engineer

AI/ML engineer

eTeam

Indianapolis, IN • On-site

$100K - $120K/yr

Full-time

Posted 16 days ago


Job description

Job Summary:
eTeam is a company focused on AI and machine learning solutions, and they are seeking an AI/ML Engineer to lead technical initiatives. The role involves designing and optimizing machine learning models, defining system architecture, and collaborating with various stakeholders to deliver scalable AI systems.
Responsibilities:
• Set engineering standards| conduct code reviews| and mentor a team of AI/ML engineers across the full development lifecycle
• Design| build| and optimize machine learning and deep learning models for production use cases including NLP| computer vision| and predictive analytics
• Define scalable AI/ML system architecture; oversee data pipelines| model training| and deployment infrastructure on cloud platforms (Azure| AWS| GCP)
• Establish and maintain CI/CD pipelines| model versioning| monitoring| and retraining workflows to ensure reliability in production
• Partner with product managers| data scientists| and business teams to translate requirements into technical solutions with measurable outcomes
• Define model evaluation frameworks; ensure solutions meet performance| fairness| safety| and compliance standards
• Stay current on emerging AI trends and frameworks; identify opportunities to adopt new tools and techniques that advance team capabilities
Qualifications:
Required:
• Strong proficiency in Python and ML frameworks (PyTorch| TensorFlow| scikit-learn)
• Experience with LLMs| prompt engineering| and generative AI platforms
• Hands-on knowledge of cloud-based AI/ML services (Azure ML| AWS SageMaker| Vertex AI)
• Familiarity with vector databases| RAG pipelines| and API development
• Prior experience leading engineering teams in an Agile/Scrum environment
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.