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Contract Data Engineering Jobs in Indiana (NOW HIRING)

Pacers Sports & Entertainment

Data Architect

Indianapolis, IN · On-site

$61 - $78.25/hr

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 ...

AEG

Data Architect

Indianapolis, IN · On-site

$61 - $78.25/hr

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 ...

Element Materials Technology

Data Processor

Gary, IN

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

EnerSys

Contracts Specialist

Alexandria, IN · On-site

... administration, contract lifecycle from review to execution, compliance and negotiation for ... The role also supports data analysis and manipulation, FAR/DFARs/CFR compliance, representations ...

Barbaricum

Crane Program Manager

Crane, IN · On-site

Manage multidisciplinary teams of SMEs, analysts, engineers. * Lead coordination and communication ... Ensure timely delivery of Contract Data Requirements Lists (CDRLs) and compliance with Service ...

Barbaricum

Crane Program Manager

Crane, IN

Manage multidisciplinary teams of SMEs, analysts, engineers. * Lead coordination and communication ... Ensure timely delivery of Contract Data Requirements Lists (CDRLs) and compliance with Service ...

EnerSys

Contracts Manager

Alexandria, IN

$78K - $104.20K/yr

... award management, contract lifecycle from review to execution, compliance and negotiation for ... The role also supports data analysis and manipulation, FAR/DFARs/CFR compliance, representations ...

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Contract Data Engineering information

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

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What are the most commonly searched types of Data Engineering jobs in Indiana? The most popular types of Data Engineering jobs in Indiana are:
What are popular job titles related to Contract Data Engineering jobs in Indiana? For Contract Data Engineering jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Indiana look for? The top searched job categories for Contract Data Engineering jobs in Indiana are:
What cities in Indiana are hiring for Contract Data Engineering jobs? Cities in Indiana with the most Contract Data Engineering job openings:
Contract Data Engineering jobs near you
Data Architect

Data Architect

Pacers Sports & Entertainment

Indianapolis, IN • On-site

$61 - $78.25/hr

Full-time

Posted 17 days ago

Job description

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.

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