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Data Plus Jobs in Indiana (NOW HIRING)

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

... is a plus • Practical experience in data pipeline development, ideally in both batch and ... streaming patterns • Understanding of data modeling patterns for analytics (dimensional modeling ...

BCforward

Data Acquisition Analyst

Warsaw, IN

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings ... Previous experience as a medical device analyst a plus. Skills: Project Management, MS Office ...

SEP

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Strong SQL skills with working proficiency in Python; experience with Spark, Scala, R, or C# is a plus * Practical experience in data pipeline development, ideally in both batch and streaming ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Strong SQL skills with working proficiency in Python; experience with Spark, Scala, R, or C# is a plus * Practical experience in data pipeline development, ideally in both batch and streaming ...

SEP

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Strong SQL skills with working proficiency in Python; experience with Spark, Scala, R, or C# is a plus * Practical experience in data pipeline development, ideally in both batch and streaming ...

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital ... strong plus. • Strong problem-solving skills and attention to detail. • Effective team ...

AEG

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital ... strong plus. • Strong problem-solving skills and attention to detail. • Effective team ...

NiSource

Manager Data and Analytics

Merrillville, IN · On-site

$133K - $200K/yr

Manager of Data and Analytics Full Time Perm Salary: $133,400 - $200,100, plus 15% annual bonus Way of Work: Columbus, OH Relocation Assistance to Columbus Provided The Data and Analytics ...

NiSource

Manager Data and Analytics

Merrillville, IN

$133K - $200K/yr

Manager of Data and Analytics Full Time Perm Salary: $133,400 - $200,100, plus 15% annual bonus Way of Work: Columbus, OH Relocation Assistance to Columbus Provided The Data and Analytics ...

Belden Inc

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

SAP certification in one or more technical areas is a plus. * Certification on Syniti ADMM would be preferred. * Exposure to Variant Configuration (VC or AVC) would be a plus Applicants can expect a ...

Belden, Inc.

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

SAP certification in one or more technical areas is a plus. * Certification on Syniti ADMM would be preferred. * Exposure to Variant Configuration (VC or AVC) would be a plus Applicants can expect a ...

MetaPhase Consulting

Data Analyst

Indianapolis, IN

A minimum of three plus years of experience in data analysis, reporting, business intelligence, or related analytical support roles * Bachelor's degree in data analytics, business, statistics ...

Merchants Bank of Indiana

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

We are seeking a skilled Data Engineer , along with at least three years of experience, who will ... Health, Vision, Dental, 401K, ESOP, 100% Tuition Assistance, 4 weeks paid time off, plus a few more ...

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All JobsData Plus JobsData Plus Jobs in Indiana

Data Plus information

See Indiana salary details

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How much do data plus jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for data plus in Indiana is $27.46, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $33.35 per hour, depending on experience, location, and employer.

What is a Data Plus job?

A Data Plus job typically involves working with data analytics, processing, and management to support business decision-making. Professionals in this role may clean, analyze, and visualize data to extract insights. Depending on the organization, a Data Plus job could include database management, report generation, and the use of data tools like SQL, Python, or Excel. The role often requires problem-solving skills and attention to detail.

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

To excel as a Data Plus professional, you should have strong analytical skills, knowledge of data management principles, and a relevant degree in computer science, statistics, or a related field. Proficiency with data analytics tools (such as SQL, Python, R) and familiarity with data visualization platforms like Tableau or Power BI are often required. Effective communication, critical thinking, and attention to detail are essential soft skills for this role. These competencies enable accurate data analysis, clear insights for decision makers, and seamless collaboration with cross-functional teams.

What are the typical daily responsibilities for someone in a Data Plus role?

In a Data Plus position, your typical day may involve collecting and cleaning large datasets, conducting statistical analyses, and generating actionable insights to support business objectives. You'll likely collaborate closely with other data professionals, product managers, and stakeholders to define data requirements and deliver reports or dashboards. Additional tasks may include automating processes, ensuring data integrity, and contributing to project meetings. This dynamic role provides you with the opportunity to influence key decisions through data-driven recommendations.

What are popular job titles related to Data Plus jobs in Indiana? For Data Plus jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Plus jobs in Indiana look for? The top searched job categories for Data Plus jobs in Indiana are:
Data Plus jobs near you

Data Engineer/Senior Data Engineer, Data and Science

Aircall

Francisco, IN • On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
 
Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
 
Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
 
How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here.

About the role
The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.
 
In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.    
Responsibilities
  • Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
  • Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
  • Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
  • Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines.
  • Participate in code reviews to ensure code quality and share knowledge.
  • Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
  • Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics. 
  • Collaborate with applied scientists, data scientists, analysts and other business stakeholders  to drive efficiencies for their work, supporting complex data processing, storage and orchestration
A little more about you:
  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
  • Proficient in SQL and Python, with the ability to translate complexity into efficient code.
  • Experience with data workflow development and management tools (dbt, Airflow).
  • Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
  • Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Prior experience designing AI-ready data semantic layer is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.
  • Experience with data tooling, data governance, business intelligence and data privacy is a plus.
$130,000 - $200,000 a year
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.
Why join us?
 
Key moment to join Aircall in terms of growth and opportunities
Our people matter, work-life balance is important at Aircall
Fast-learning environment, entrepreneurial and strong team spirit
45+ Nationalities: cosmopolite & multi-cultural mindset
Competitive salary package & benefits
Medical, dental, and vision insurance is 100% covered
 401k plan with company matching!
 Unlimited PTO - take the time you need to come to work feeling great!
 Wellness, commuter, and childcare reimbursements
 Generous parental leave policy
 
DE&I Statement: 
At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. 
 
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.  
 
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
 
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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