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Web Data Jobs in Indiana (NOW HIRING)

AEG

Data Architect

Indianapolis, IN · On-site

$61 - $78.25/hr

SUMMARY The Data Architect is a builder-architect: the person who writes the code, sets the ... Production experience in the consumption layer through either frontend web development (React, Next ...

Deloitte

Databricks Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Apply data architecture, integration, and data modeling practices to improve data quality ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ...

Jj

Global Customer Data Platform Lead

Warsaw, IN · On-site

Design robust data capture from Sitecore AI DXP, web/mobile events, product catalogs, clinical interactions, and other touchpoints. * Lead integrations with SFDC, SFMC, SAP, analytics platforms, DAM ...

New

CCI Systems, Inc.

Data Center Technicians

Gary, IN · On-site

We are seeking Data Center Technicians who are responsible for installing, splicing, testing, and ... Proficient with MS Office and various web-based software. Shift is typically Monday-Saturday ...

Deloitte

Sr Databricks Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Allegion

Lead Platform Data Engineer

Carmel, IN

Lead the integration of platform service layers with mobile/web applications to streamline device commissioning and cross-functional data access. * Modern Orchestration: Replace ad-hoc processes with ...

Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

Lead the integration of platform service layers with mobile/web applications to streamline device commissioning and cross-functional data access. * Modern Orchestration: Replace ad-hoc processes with ...

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Web Data information

What are some common challenges faced by professionals working in web data roles?

Professionals in web data roles often encounter challenges related to data quality, such as dealing with unstructured or inconsistent data from various sources. Additionally, keeping up with rapidly changing web technologies and ensuring compliance with data privacy regulations can be demanding. Collaboration with cross-functional teams—such as developers, analysts, and data engineers—is essential to streamline data collection, processing, and analysis. Staying organized and adopting efficient data management practices are key to overcoming these challenges and delivering valuable insights.

What are web data jobs?

Web data jobs involve the collection, extraction, analysis, and management of data sourced from websites and online platforms. Professionals in this field use tools and programming languages like Python, web scraping libraries, and APIs to gather valuable information for purposes such as market research, business intelligence, and data-driven decision making. These roles often require knowledge of data processing, data cleansing, and compliance with web data usage policies. Web data specialists may work in industries ranging from e-commerce to finance, supporting organizations in leveraging web-based information to achieve their goals.

What are the key skills and qualifications needed to thrive as a Web Data Analyst, and why are they important?

To thrive as a Web Data Analyst, you need strong analytical skills, a background in statistics or computer science, and experience with data collection and interpretation. Familiarity with tools such as Google Analytics, SQL, Excel, and data visualization platforms like Tableau is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for translating data insights into actionable recommendations. These skills enable accurate tracking, interpretation, and reporting of web data, which are vital for optimizing digital strategies and supporting business decisions.
What are popular job titles related to Web Data jobs in Indiana? For Web Data jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Web Data jobs in Indiana look for? The top searched job categories for Web Data jobs in Indiana are:
What cities in Indiana are hiring for Web Data jobs? Cities in Indiana with the most Web Data job openings:
Web Data jobs near you

Data Architect

AEG

Indianapolis, IN • On-site

$61 - $78.25/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
SUMMARY
The Data Architect is a builder-architect: the person who writes the code, sets the patterns, and makes the hard tradeoffs that shape the platform the rest of the team builds on. This is a modern full-stack data & analytics engineering role with hands-on technical leadership, not a paper architect role. The successful candidate will own platform architecture, data modeling, governance standards, and the long-term technical direction of the data and intelligence platform for Pacers Sports & Entertainment. The role spans the entire surface from raw ingestion through governed consumption layers and into the experience layer that stakeholders actively use, including designing a platform that LLM-powered applications can consume natively.
This role ships the reference implementation before anyone else, writes the patterns the rest of the team follows, and makes today's decisions with two years of capability growth in mind.
ESSENTIAL DUTIES / RESPONSIBILITIES
Platform Architecture
  • Own the design and evolution of the lakehouse architecture in Databricks, including medallion layer boundaries, compute and storage strategy, and catalog structure.
  • Build and maintain the foundational platform components that everything else runs on, proving the architecture with working code before handing patterns to the team.
  • Design and build the consumption layer patterns that govern how gold layer datasets get served through frontends, BI tools, APIs, and LLM-powered interfaces.
  • Define the data access and retrieval patterns that enable LLM-powered applications to query the platform safely, including context retrieval, embedding strategies, and PII guardrails.

Data Models
  • Design and build canonical data records including the fan intelligence data store, identity resolution logic, and cross-property audience models.
  • Own the semantic layer and metric catalog that governs how the business is represented in data, ensuring consistency across ticketing, partnerships, basketball operations, and corporate reporting.

Governance & Standards
  • Define and implement data contracts, lineage tracking, access controls, and quality thresholds that keep the platform healthy as the team and consumer base scale.
  • Design Unity Catalog governance including permission tiers, column masking for PII, and the access model that downstream consumers and privacy controls depend on.

Technical Direction
  • Own the platform roadmap and set the engineering patterns that the team adopts, establishing standards through example rather than documentation alone.
  • Mentor engineers on data modeling, platform design, and architectural decision-making, raising the technical ceiling of the team.
  • Make the hard tradeoffs between speed and durability, simplicity and flexibility, and communicate the reasoning clearly to engineering and leadership.
  • Participate in a shared on-call rotation for production data systems, responding to incidents and contributing to postmortems and reliability improvements.

General
  • In every position, each employee is expected to align with PS&E's mission and core values along with actively participating in company-sponsored community outreach programs.
  • Other duties as assigned.

QUALIFICATION REQUIREMENTS
To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Experience
  • Seven or more years building data systems in production environments, with progressive responsibility for platform design and data modeling.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Track record of designing and building a lakehouse or data warehouse through a messy-to-mature journey, not just operating one that was already well-architected.
  • Hands-on experience with identity resolution, dimensional modeling, and semantic layer design that business users have adopted at scale.
  • Experience setting engineering patterns and standards for a team, including code review practices, data contracts, and platform governance.
  • Production experience in the consumption layer through either frontend web development (React, Next.js, or similar) or Analytics tools (Tableau, Power BI, Looker, Hex, or comparable).

Skills
  • Strong Python and SQL, with hands-on cloud lakehouse experience; Databricks preferred.
  • Production experience with dbt for transformation and modeling, and Airflow or comparable orchestration frameworks.
  • Deep understanding of Unity Catalog, Delta Lake, and lakehouse governance patterns.
  • Familiarity with agentic AI patterns and production experience using AI coding assistants such as Claude Code, Cursor, or similar tools.
  • Understanding of how to design data platforms that LLM-powered applications can consume natively, including RAG architecture, context retrieval patterns, and PII guardrails for AI consumption.
  • Comfort moving across the stack: building a pipeline, modeling a domain, writing a Python service, and standing up a simple web interface independently.
  • Working knowledge of Azure cloud services, version control with Git, and CI/CD patterns.
  • Translating ambiguous business and technical requirements into concrete architectural decisions, balancing quality, stakeholder needs, and delivery speed.
  • Making hard tradeoffs between competing priorities and communicating the reasoning to both engineering peers and business leadership.
  • Investigating root causes rather than symptoms, with a bias toward building durable solutions that prevent recurrence.

PHYSICAL AND ENVIRONMENTAL DEMANDS
The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit, stand, walk, move heavy objects, use a computer, use a 10-key calculator, use a telephone, speak, hear, and write.
While performing the duties of this job, the noise level in the office work environment is usually moderate and the noise level in Gainbridge Fieldhouse / game environment is usually loud. The stress level may become high during certain times of the year.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, gender identity, marital status, disability status, protected veteran status, or any other characteristic protected by law.

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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