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Senior Data Engineering Jobs in Indiana (NOW HIRING)

Sr Data Manager - IN Medicaid

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Manager will lead efforts to evolve reporting from a manual quality assurance ... Experience working with report developers, partners, and external vendors. * Proficiency with data ...

Sr Data Manager - IN Medicaid

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Manager will lead efforts to evolve reporting from a manual quality assurance ... Experience working with report developers, partners, and external vendors. * Proficiency with data ...

Sr Data Manager - IN Medicaid

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Manager will lead efforts to evolve reporting from a manual quality assurance ... Experience working with report developers, partners, and external vendors. * Proficiency with data ...

  • Retirement

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... programming, along with the ability to translate complex findings into clear business ...

The Role The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people ... Director of Data Engineering who builds and maintains the data platform and pipelines * Embedded ...

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

Senior Data Consultant

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We have an immediate opening for a Senior Data Consultant. If the idea of working on challenging ... Capture business requirements, convert them to user stories or developer requirements, and ...

Data Scientist

Fishers, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand-in-hand with ML Engineers to deploy ...

Data Scientist

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand-in-hand with ML Engineers to deploy ...

Showing results 41-60

Senior Data Engineering information

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

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

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.

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 Senior Data Engineering jobs in Indiana?

For Senior Data Engineering jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineering jobs in Indiana look for?

The top searched job categories for Senior Data Engineering jobs in Indiana are:

What cities in Indiana are hiring for Senior Data Engineering jobs?

Cities in Indiana with the most Senior Data Engineering job openings:

Infographic showing various Senior Data Engineering job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Assistant Vice President, Senior Data Analyst

Interra Credit Union

Goshen, IN • On-site

$76K - $96K/yr

Full-time

Re-posted 13 days ago


Interra Credit Union rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

WHAT YOU WILL DO EVERYDAY
As a Senior Data Analyst, you will serve as a strategic analytics partner and an advanced technical contributor, building upon the foundational responsibilities of the Analyst role. You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk, transforming large and complex datasets into actionable insights that drive enterprise decision-making. You will help define data strategy, elevate governance practices, and mentor decentralized data users to strengthen Interra's data-driven culture.
You will also take a hands-on role in advancing data ingestion, reporting environments, and analytic models-owning higher-complexity initiatives and serving as an escalation point for technical issues.
Direct Reports: None
HOW YOU WILL MAKE AN IMPACT
40% Lead complex analytical assessments across business lines to identify trends, risks, member behavior patterns, and optimization opportunities.
Apply advanced statistical analysis, forecasting techniques, and modeling to support strategic planning and performance management. Translate complex analysis into concise, actionable recommendations for senior leaders.
20% Create, enhance, and own enterprise dashboards, KPI scorecards, and decision-support tools using Tableau/Power BI. Ensure reporting environments are accurate, scalable, and aligned with governance standards. Serve as the technical lead for defining reporting requirements and business logic.
15% Oversee and elevate organizational data governance practices including dictionaries, catalogues, metadata, standards, and definitions. Identify data quality issues, troubleshoot discrepancies, and drive cross-functional resolution. Serve as steward of "single source of truth" practices across the enterprise.
15% Partner with IT and data engineering teams to enhance data ingestion pipelines, ETL processes, and data lake usage. Prioritize data needs, support ingestion of new data sources, and validate data flowing through the architecture. Support advanced use cases for decentralized data users and cross-department teams.
10% Guide and mentor data analysts and data-curious staff, helping elevate analytical literacy and best practices. Lead complex projects requiring collaboration across multiple departments. Continuously improve tools, processes, automation, and analytic methodologies.
- Must comply with all company policies and procedures, applicable laws, and regulations, including but not limited to, the Bank Secrecy Act, the USA PATRIOT Act, and the Office of Foreign Assets Control.
WHAT YOU WILL NEED TO SUCCEED
Experience
5+ years of progressive experience in data analysis, business intelligence, or analytics within a financial institution or related industry. Demonstrated experience delivering actionable insights that influence business decisions. Experience working with large datasets and cross-functional stakeholders required.
Education / Certifications / Licenses
This level of knowledge is normally acquired through completion of a Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, Finance, Business, or related field. (Will consider additional years of relevant experience in lieu of education requirement.) Must have and maintain a valid driver's license.
PREFERRED SKILLS
- Proven expertise in transforming large, complex datasets into meaningful business intelligence to support marketing, product, and growth strategies.
- Strong proficiency in statistical modeling, data mining, and interpreting behavioral data to identify member trends and campaign performance drivers.
- Advanced experience with data visualization platforms (e.g., Tableau, Power BI) to deliver compelling, executive-ready dashboards that guide strategic decisions.
- Proficient in SQL and comfortable querying data across structured and unstructured data sources; experience with cloud data platforms (e.g., Snowflake, BigQuery) preferred.
- Demonstrated ability to translate data into marketing and business insights that drive measurable outcomes in acquisition, engagement, and retention.
- Hands-on experience with data tools such as Python or R to support data preparation, automation, and predictive modeling.
- Strong understanding of data warehouse architecture, dimensional modeling, and ETL processes to ensure scalable, accurate data pipelines.
- Ability to assist in the execution of a BI roadmap aligned to enterprise and marketing goals, including the creation of KPIs and performance scorecards.
- Knowledge of data governance, data quality practices, and compliance standards relevant to member privacy and financial regulations.
- Strong communication skills with a track record of influencing cross-functional stakeholders through data storytelling and actionable recommendations.
- Demonstrated experience working in a financial services or highly regulated environment, with familiarity in interpreting member behavior and credit union KPIs.
- Effective project management skills with a focus on delivering high-impact analytics projects on time and with stakeholder buy-in.
- Ability to mentor analysts and foster a culture of data curiosity and continuous learning.
- Strong business acumen and the ability to connect analytics work directly to organizational growth, revenue, and member satisfaction.
- Commitment to Interra's mission and member experience, with a passion for leveraging data to deliver meaningful impact.
INTERPERSONAL SKILLS
• Strong interpersonal skills-willingness to engage with team members across the organization.
• Interest in making a tangible impact at a mission-driven, community-focused financial institution.
• Ability to communicate complex analytical concepts to non-technical stakeholders in a clear and understandable manner.
• Ability to influence decision-making through data-driven insights and thoughtful recommendations.
• Represent the credit union in a professional and positive way, both internally and externally at all times.
COMPETENCIES
- Decision Making - Makes sound decisions in a timely manner using critical thinking, problem solving, insights, and experience. Demonstrates sound judgment that proves to be accurate and correct over time.
- Drive Engagement - Demonstrates drive and fosters an inclusive environment that motivates others. Alters approach to each person to promote optimal performance and commitment to the Interra mission, vision, and objectives.
- Effective Communication - Utilizes a variety of communication modalities effectively and appropriately across multiple channels. Is effective in a variety of communication settings: one-on-one, small, and large groups, or among diverse styles and position levels. Adjusts to fit the message to the audience. Provides timely and helpful information to others across the organization.
- Functional Expertise - Maintains strong technical knowledge in data analytics and stays current on industry trends, tools, and best practices.
- Maintain Accountability - Takes ownership of work, ensures accuracy, and meets deadlines with high standards of quality.
ADA REQUIREMENTS
Physical Requirements
- Able to bend, sit, and stand in order to perform primarily sedentary work with limited physical exertion and occasional lifting of up to 10 lbs.
- Must be capable of climbing / descending stairs in an emergency situation.
- Must be able to operate routine office equipment including computer terminals and keyboards, telephones, copiers, facsimiles, and calculators.
- Must be able to routinely perform work on computer for an average of 6-8 hours per day, when necessary.
- Must be able to work extended hours or travel off site whenever required or requested by management.
- Must be capable of regular, reliable, and timely attendance.
Working Conditions
- Must be able to routinely perform work indoors in climate-controlled shared work area with minimal noise.
Mental and/or Emotional Requirements
• Must be able to perform job functions independently and work effectively either on own or as part of a team.
• Must be able to plan and direct the work activities of self and others.
• Must be able to read and carry out various written instructions and follow oral instructions.
• Must be able to speak clearly and deliver information in a logical and understandable sequence.
• Must be capable of dealing calmly and professionally with numerous different personalities from diverse cultures at various levels within and outside of the organization and demonstrate highest levels of member service and discretion when dealing with the public.
• Must be able to perform responsibilities with composure under the stress of deadlines / requirements for extreme accuracy and quality and/or fast pace.
• Must be able to effectively handle multiple, simultaneous, and changing priorities.
• Must be capable of exercising highest level of discretion on both internal and external confidential matters.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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