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Data Bi Engineer Jobs in Indiana (NOW HIRING)

BI Engineer

Carmel, IN

$51 - $66.25/hr

We're a data company helping customers buy and sell smarter with clear, actionable insights they ... Engineering, Marketing, and Program managers to align data infrastructure and BI tools with ...

BI Engineer

Carmel, IN

$51 - $66.25/hr

We're a data company helping customers buy and sell smarter with clear, actionable insights they ... Engineering, Marketing, and Program managers to align data infrastructure and BI tools with ...

BI Engineer

Carmel, IN · On-site +1

$51 - $66.25/hr

We're a data company helping customers buy and sell smarter with clear, actionable insights they ... Engineering, Marketing, and Program managers to align data infrastructure and BI tools with ...

BI Engineer I (Hybrid)

Fort Wayne, IN · On-site

$113K - $135K/yr

Job Summary: The BI Engineer I is an entry‑to‑mid‑level data professional focused on ingesting, validating, and transforming data within Microsoft Fabric to support reliable, downstream ...

BI Engineer I (Hybrid)

Fort Wayne, IN · Hybrid

$113K - $135K/yr

Job Summary: The BI Engineer I is an entry‑to‑mid‑level data professional focused on ingesting, validating, and transforming data within Microsoft Fabric to support reliable, downstream ...

BI Engineer

Carmel, IN

$51 - $66.25/hr

We're a data company helping customers buy and sell smarter with clear, actionable insights they ... We are seeking a Business Intelligence Engineer who is solutions-oriented, proactive, and thrives ...

Allied Solutions LLC is seeking a Senior BI Developer to support the execution of their Data Strategy. This role involves delivering reporting and dashboard solutions, serving as a subject matter ...

As part of the Data Intelligence department, the Senior BI Developer plays an important role in supporting the execution of our Data Strategy at Allied Solutions. The developer will work closely with ...

As part of the Data Intelligence department, the Senior BI Developer plays an important role in supporting the execution of our Data Strategy at Allied Solutions. The developer will work closely with ...

Power BI Developer

Hanna, IN · Hybrid

$110K/yr

Power BI Developer Onsite in LaPorte, IN Up to $110,000 Company Sizzle: Join our client, where ... Extract, transform, and analyze data from SAP and other systems to ensure accurate and reliable ...

We are seeking a Senior BI Developer to join our team. If you enjoy executing a daily checklist of ... Data Architecture - Partner with our Data Engineers to ensure the enterprise data lake is built to ...

We are seeking a Senior BI Developer to join our team. If you enjoy executing a daily checklist of ... Data Architecture - Partner with our Data Engineers to ensure the enterprise data lake is built to ...

BI Developer

South Bend, IN · On-site +1

$80K - $100K/yr

BI Analyst Location: Elkhart, IN (Onsite - Sponsorship Not Available) Salary: $80,000 - $100,000 ... This role blends analytics, reporting, and data integration, supporting teams by delivering ...

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Showing results 1-20

Data Bi Engineer information

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can automate routine tasks, allowing data engineers to focus on architecture, data quality, and strategic analysis. Skills in programming, cloud platforms, and data management remain essential for the role.

What are Data BI Engineers?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI Engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is a BI data engineer?

A BI data engineer designs, builds, and maintains data pipelines and systems to support business intelligence and analytics. They work with tools like SQL, ETL processes, and data warehouses to ensure data is accurate, accessible, and ready for analysis by data analysts and scientists.

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

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries such as finance or technology firms.

What is the salary of a BI engineer in the US?

The average salary of a Business Intelligence (BI) Engineer in the US ranges from $80,000 to $130,000 annually, depending on experience, location, and skills. Senior BI engineers with expertise in tools like Tableau, Power BI, or SQL can earn higher salaries, often exceeding $140,000. Certifications and proficiency in data modeling and ETL processes can also influence compensation.
What are popular job titles related to Data Bi Engineer jobs in Indiana? For Data Bi Engineer jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Data Bi Engineer jobs? Cities in Indiana with the most Data Bi Engineer job openings:
Infographic showing various Data Bi Engineer job openings in Indiana as of June 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Hybrid job distribution.
BI Engineer

$51 - $66.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Openlane rating

7.4

Company rating: 7.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

4th of 16 rated auctioneers


Job description

Who We Are:
At OPENLANE we make wholesale easy so our customers can be more successful.
We're a technology company building the world's most advanced-and uncomplicated-digital marketplace for used vehicles.
We're a data company helping customers buy and sell smarter with clear, actionable insights they can understand and use.
And we're an innovation company accelerating the future of wholesale remarketing through curiosity, collaboration, and an entrepreneurial spirit.
Our Values:
Driven Waybuilders. We pursue challenges that inspire us to build, create, and innovate.
Relentless Curiosity. We seek to understand and improve our customers' experience.
Smart Risk-Taking. We transform risk into progress through data, experience, and intuition.
Fearless Ownership. We deliver what we promise and learn along the way.

What We're Looking For:

We are looking for a Business Intelligence Engineer to drive marketplace efficiency and strategic growth in our OEM Private Label business. You will be responsible for identifying business opportunities, conducting research on market dynamics, and developing data-driven strategies to improve marketplace performance in collaboration with stakeholders. This role focuses on increasing buyer engagement and maximizing revenue yield through rigorous analysis and sustainable, insight-driven improvements.

As an independent and accountable individual contributor, you will act as a strategic partner to stakeholders, leveraging data to implement changes that directly impact conversion rates and business growth. You will bridge the gap between complex data sets and actionable business logic, ensuring that every insight leads to measurable, long-term results.

What You'll Do:
  • Marketplace Optimization: Improve OEM Private Label performance by identifying levers to increase conversion rates and buyer liquidity.

  • Growth & Yield: Analyze marketing effectiveness and pricing dynamics to drive revenue yield and sustainable growth.

  • Insight-Driven Execution: Transform raw data into strategic recommendations and secure stakeholder buy-in to implement operational changes.

You Are:

  • An Owner: You take full accountability for projects from discovery to implementation. You don't just "deliver a report"-you ensure the insight leads to a business result.

  • High Agency: You thrive with autonomy. You don't wait for a brief; you identify gaps and opportunities and build the solution yourself.

  • Outcome-Oriented & Scrappy: You prioritize velocity over perfection. You are comfortable with messy data and can find the fastest path to "directionally correct" findings to keep the business moving, refining the details as you go.

  • Gritty: You have the intellectual stamina to tackle intricate, "hard" problems and see them through to a solution. You maintain a steady, analytical focus even when navigating deeply complex data landscapes or ambiguous business logic.

  • A Strategic Thinker: Passionate about leveraging data to not just report on the past, but to actively grow the business for the future.

You Will:

Own Strategic Growth & Market Impact

  • Drive Business Results: Assume personal accountability for key North Star metrics, including conversion rates, buyer engagement, and retention, using data to drive measurable improvements.

  • Marketplace & Pricing Strategy: Conduct thorough research on supply/demand dynamics and industry trends. Specifically, develop frameworks to solve for inventory pricing and perception gaps to identify emerging growth opportunities.

  • Forecasting & Experimentation: Model expected outcomes for growth initiatives and set measurable benchmarks for success. Design rigorous experiments to validate hypotheses, providing teams with the confidence to pivot or double-down.

Insights & Cross-Functional Partnerships

  • Cross-Functional Partnership: Collaborate independently with Product, Engineering, Marketing, and Program managers to align data infrastructure and BI tools with strategic business goals.

  • Actionable Reporting & Storytelling: Design and maintain automated dashboards and deep-dive analyses that translate complex marketplace trends into clear, actionable stories for leadership and sales teams.

  • Process Improvement: Identify operational inefficiencies and revenue leakage (e.g., "no-sales" due to pricing friction), recommending data-backed solutions to optimize marketing spend and operational costs.

Data Foundation & Engineering

  • Data Pipeline Ownership: Design, build, and maintain scalable ETL/ELT pipelines that transform raw marketplace logs into performant, "source of truth" data models.

  • Data Governance & Sustainability: Develop robust data models and ensure data integrity, fostering a culture of high-quality, sustainable reporting and experimentation.

Must Have's:

  • Bachelor's degree in a quantitative field (Data Science, Statistics, Computer Science, Economics, Finance, or a related field)

  • 3-5+ years of experience in BI, data engineering, or related Analytics field, ideally within a two-sided marketplace (e-commerce, or auctions)

  • Advanced Degree is preferred

  • Technical Skills:
    • Advanced SQL: Expert-level proficiency in SQL with a demonstrated ability to synthesize and integrate disparate, large-scale datasets.

    • Data Modeling/ETL: Experience in data pipeline development, including extracting, transforming, and loading (ETL/ELT) data between cloud-based data warehouses (e.g. Snowflake) and BI platforms. Working experience in dbt (data build tool) or similar modular SQL frameworks is preferred.

    • Data Visualization & Storytelling: Expertise in translating complex data into intuitive, high-impact visualizations (e.g., DOMO, Tableau, Power BI).

    • Programming: Proficiency in Python (or R) for statistical modeling, automation, and data manipulation.

    • Experimentation: Strong grasp of statistical rigor, including A/B testing and causal inference to prove how specific levers directly cause changes in business metrics.

  • Business Mindset:
    • A "business-first" approach to data; ability to think like an owner and prioritize projects based on potential ROI (Effort vs Impact)

    • Proven track record of working independently to solve ambiguous problems and delivering results with minimal supervision.

    • Strong communication skills with the ability to influence stakeholders and drive consensus through data.


What We Offer:

  • Competitive pay

  • Medical, dental, and vision benefits with employer HSA contributions (US) and FSA options (US)

  • Immediately vested 401K (US) or RRSP (Canada) with company match

  • Paid Vacation, Personal, and Sick Time

  • Paid maternity and paternity leave (US)

  • Employer-paid short-term disability, long-term disability, life insurance, and AD&D (US)

  • Robust Employee Assistance Program

  • Employer paid Leap into Service Day to volunteer

  • Tuition Reimbursement for eligible programs

  • Opportunities to expand your skill set and share your knowledge across a publicly traded, global organization

  • Company culture of internal promotions, diverse career paths, and meaningful advancement


Sound like a match? Apply Now - We can't wait to hear from you!


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