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Senior Data Engineer 500K Jobs in Indiana (NOW HIRING)

inKind

Data Engineer

Austin, IN

$135K - $155K/yr

Senior Data Engineer Role Summary: Data Engineering is a key role in the development team and is responsible for building and maintaining the AI-ready data foundation that powers inKind's intelligent ...

Accelint

Senior Data Analyst

Bloomington, IN · On-site

$99K - $124K/yr

Solutions are designed by operators who understand the mission, engineered for the conditions that ... Senior Data Analyst * Full Time * Hybrid The Sr. Data Analyst serves as a recognized subject matter ...

NAVA Software Solutions

Sr Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

Must be highly analytical and have the proven ability to develop and reverse complex engineering ... Senior Data Architect | Day-to-Day * Assessing current and future states to provide a road map for ...

Allegion

Senior Data Platform Engineer

Carmel, IN

$67.25 - $89.75/hr

Senior Data Platform Engineer This position serves as the senior technical expert for Data Hub processes within the Global Data & Analytics Team, owning the design and implementation of data ...

Allegion

Senior Data Platform Engineer

Carmel, IN · On-site

$67.25 - $89.75/hr

Senior Data Platform Engineer This position serves as the senior technical expert for Data Hub processes within the Global Data & Analytics Team, owning the design and implementation of data ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Dmainc

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

... and engineers to improve efficiency and data organization; improve performance through data ... Work with senior data analyst to establish data governance Non-Essential Duties and ...

Dmainc

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

... and engineers to improve efficiency and data organization; improve performance through data ... Work with senior data analyst to establish data governance Non-Essential Duties and ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

The role requires collaboration with other analysts, data engineers, data product managers, and ... The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Elanco

Senior Data Scientist

Indianapolis, IN · On-site

Senior Data Scientist We are seeking a highly motivated and experienced Senior Data Scientist to ... Implement best practices in software engineering, including modular code design, testing, version ...

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Showing results 21-40

All JobsData Engineer 500K JobsSenior Data Engineer 500K JobsSenior Data Engineer 500K Jobs in Indiana

Senior Data Engineer 500K information

What are some common challenges senior data engineers face when designing large-scale data pipelines, and how are they typically addressed?

Senior Data Engineers often encounter challenges related to data scalability, ensuring data quality, and maintaining pipeline reliability as systems grow. Handling massive data volumes requires careful architectural decisions, such as choosing the right data partitioning and storage solutions. Addressing these challenges typically involves leveraging distributed processing frameworks (like Spark), implementing robust data validation checks, and collaborating closely with data scientists and DevOps teams for seamless deployment and monitoring. Effective documentation and proactive troubleshooting also play key roles in overcoming these hurdles.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need advanced knowledge in data modeling, ETL processes, database systems, and programming languages such as Python or Scala, typically supported by a degree in computer science or related fields. Familiarity with big data tools like Spark, Hadoop, cloud platforms (AWS, GCP, Azure), and relevant certifications (e.g., Google Professional Data Engineer) are highly valuable. Strong problem-solving, communication, and project management skills help you lead teams and collaborate across departments. These capabilities ensure scalable, reliable data infrastructure and drive impactful business insights.

What is the difference between Senior Data Engineer 500K vs Data Architect?

AspectSenior Data Engineer 500KData Architect
Required CredentialsBachelor's/Master's in CS, Data Science, or related; experience with cloud platformsSimilar credentials; often includes certifications like AWS Certified Solutions Architect
Work EnvironmentData pipelines, ETL processes, cloud environmentsDesigning data systems, architecture planning, high-level data strategy
Industry UsageTech, finance, healthcare, e-commerceSame industries, focusing on data infrastructure design
Search & Comparison IntentOften compared for technical roles with hands-on data engineering tasksCompared for strategic, high-level data system planning

While both roles require strong technical skills and similar credentials, Senior Data Engineer 500K focuses on building and maintaining data pipelines, whereas Data Architect emphasizes designing overall data systems and architecture. The choice depends on whether the role is more operational or strategic within an organization.

What is a senior data engineer?

A Senior Data Engineer is an experienced technology professional responsible for designing, building, and maintaining the infrastructure and tools needed to collect, store, process, and analyze large volumes of data. They work with big data technologies, databases, and data pipelines to ensure data is accessible, reliable, and secure for analytics and business intelligence purposes. Senior Data Engineers often mentor junior team members, make architectural decisions, and collaborate closely with data scientists, analysts, and other stakeholders to enable data-driven decision-making within an organization.
What are popular job titles related to Senior Data Engineer 500K jobs in Indiana? For Senior Data Engineer 500K jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer 500K jobs in Indiana look for? The top searched job categories for Senior Data Engineer 500K jobs in Indiana are:
What cities in Indiana are hiring for Senior Data Engineer 500K jobs? Cities in Indiana with the most Senior Data Engineer 500K job openings:
Senior Data Engineer 500K jobs near you

Data Engineer

inKind

Austin, IN

$135K - $155K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 12 days ago

Job description


Job Title: Data Engineer

Reports to: Senior Data Engineer

Role Summary:

Data Engineering is a key role in the development team and is responsible for building and maintaining the AI-ready data foundation that powers inKind's intelligent products, machine learning models, and large language model (LLM) applications. The position requires working across departments to build, operate, and optimize highly available data pipelines that feed analytics, ML training and inference, and retrieval-augmented generation (RAG) systems.

Responsibilities: 

  • Responsible for the design, deployment, and maintenance of the business's data and AI platforms
  • Own architectural processes and decisions for various data models within the organization, including schemas, vector stores, and knowledge bases that support AI and LLM use cases
  • Design and operate feature pipelines, embedding pipelines, and evaluation datasets that support machine learning model training, fine-tuning, and continuous evaluation
  • Work cross-functionally with various departments, including but not limited to: leadership, the development team, the finance team, and the data science team, in order to convert data into understandable information and AI-ready inputs for other professionals
  • Ensure implemented data and AI systems have relevant security, privacy, and data-governance controls - particularly around data flowing into and out of third-party LLM providers

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field. An equivalent of this educational requirement in working experience is also acceptable
  • 5+ years professional database development experience, preferably as a Data Engineer in a fast-paced environment and complex business setting
  • Expert level knowledge of SQL with focus on writing and optimizing queries
  • Demonstrated experience building and maintaining reliable and scalable ETL/ELT using Snowflake, dbt, and AWS architecture
  • Proficiency in Python and modern AI/ML tooling and experience integrating with LLM APIs (Anthropic, OpenAI, etc.)
  • Expert problem solving ability and maker's mentality; vast experience designing & architecting new features and solutions from scratch - especially those that blend traditional data systems with AI-powered components
  • Eagerness to discover innovative ways to work faster and more efficiently, including leveraging AI coding assistants and agents, while balancing competing concerns (tech debt, cost, security, complexity, etc.)
  • Proactive communication, both written and spoken, and excellent ability to work well with others, in-person and remotely
  • Courage when it comes to raising concerns and asking questions
  • Ability to stay up-to-date with new frameworks and tools - especially in the rapidly evolving AI/ML space - to speed up development, while keeping a sharp eye out for potential vulnerabilities and edge cases (including prompt injection and data leakage to third-party AI services)
Benefits & Perks at inKind

At inKind, we believe supporting our employees goes beyond compensation. We're committed to creating an environment where our team can thrive both professionally and personally.

Health & Wellness
  • 100% employer-paid medical coverage through Blue Cross Blue Shield for employees on our base healthcare plan
  • 100% employer-paid Dental PPO coverage for employees
  • Vision coverage available
  • Company-paid Short-Term Disability coverage
Time Away & Flexibility
  • Unlimited Paid Time Off
  • 9 paid company holidays annually
  • Generous parental leave and child care benefits
Growth & Development
  • Career development and training opportunities designed to support long-term professional growth
Food & Lifestyle Perks
  • Daily catered lunches and office snacks
  • Credits to dine within the inKind restaurant network
Workplace Environment
  • Collaborative, in-person culture based in Austin, Texas
  • Dog-friendly office environment with views of downtown Austin

Salary: 

$135,000 - $155,000, DOE 

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