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Marketing Data Engineer Jobs in Indiana (NOW HIRING)

Sarian, Inc.

Sr. Salesforce developer

Indianapolis, IN · On-site

$120K - $146K/yr

Salesforce Marketing Cloud Developer Location: Indianapolis, IN - Fulltime Position Must Have ... An extensive practical experience defining and deploying data-driven end-to-end marketing solutions ...

Kobie Marketing

Director, Product

Indianapolis, IN · Remote

$222K - $233K/yr

... marketing analytics lifecycle, in ways that are durable and commercially scalable. * Partner with Data Engineering and Data Science to ensure AI and ML outputs - propensity models, segment ...

Interra Credit Union

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk ... engineering teams to enhance data ingestion pipelines, ETL processes, and data lake usage.

Interra Credit Union

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk ... engineering teams to enhance data ingestion pipelines, ETL processes, and data lake usage.

SUSE

... data center to the cloud, to the edge and beyond. SUSE puts the "open" back in open source ... Developer On-Ramp: Architecting the GTM strategy for our AI Developer Bundles (AppCO/SLES Desktop ...

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Showing results 1-20

All JobsMarketing Data Engineer JobsMarketing Data Engineer Jobs in Indiana

Marketing Data Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do marketing data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for marketing data engineer in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

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

AspectMarketing Data EngineerData Analyst
Primary FocusBuilding and maintaining data pipelines for marketing dataAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL, data warehousing, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams within marketing or analytics departmentsBusiness units, marketing teams, or analytics departments
Tools UsedApache Spark, Hadoop, cloud data servicesTableau, Power BI, Excel

The main difference is that Marketing Data Engineers focus on creating and managing the infrastructure for marketing data, while Data Analysts interpret that data to provide actionable insights. Both roles often collaborate but serve distinct functions within data-driven marketing strategies.

What are Marketing Data Engineers?

Marketing Data Engineers are professionals who design, build, and manage data systems that enable marketing teams to collect, process, and analyze large volumes of marketing data. They work at the intersection of data engineering and marketing analytics, ensuring that data pipelines are robust, scalable, and optimized for marketing use cases. Their work helps organizations make informed marketing decisions by providing reliable and accessible data from multiple sources, such as web analytics, CRM systems, and advertising platforms. Marketing Data Engineers often collaborate closely with data analysts, data scientists, and marketers to create solutions that drive business growth.

What engineers make $300,000 a year?

Senior engineering roles such as Software Engineers, Data Engineers, and Cloud Engineers can earn $300,000 or more annually, especially with extensive experience, specialized skills, and working in high-demand industries or companies. These roles often require advanced technical expertise, certifications, and sometimes leadership responsibilities.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in SQL, Python, cloud platforms, and big data tools. Salaries vary by industry, location, and company size, with senior roles and specialized expertise commanding higher pay.

What does a marketing data engineer do?

A marketing data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze marketing data. They work with tools like SQL, Python, and cloud platforms to ensure accurate data flow for marketing insights and decision-making.

How do Marketing Data Engineers typically collaborate with marketing teams to drive data-driven campaigns?

Marketing Data Engineers work closely with marketing teams by designing data pipelines that collect and process campaign performance data, ensuring marketers have timely and accurate insights. They often participate in cross-functional meetings to understand campaign goals and translate them into data requirements, dashboards, or reports. This collaboration enables marketers to make informed decisions, optimize strategies, and measure ROI effectively. Regular communication and a clear understanding of marketing objectives are key to ensuring the technical solutions provided align with business needs.

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

To thrive as a Marketing Data Engineer, you need strong skills in data modeling, SQL, and data pipeline development, often supported by a degree in computer science, engineering, or a related field. Experience with ETL tools, cloud data platforms (like AWS or GCP), and marketing analytics systems such as Google Analytics is typically required. Excellent problem-solving, communication, and collaboration skills help you translate business requirements into technical solutions and work effectively with marketing teams. These abilities ensure accurate, actionable insights that drive data-driven marketing strategies and business growth.

What engineers make 500,000?

Senior engineering roles such as software engineers, data engineers, and systems engineers with extensive experience, specialized skills, and leadership responsibilities can earn $500,000 or more annually. These high salaries often involve working in high-demand industries, managing large-scale projects, or holding executive-level positions, sometimes supplemented by bonuses and stock options.
What are popular job titles related to Marketing Data Engineer jobs in Indiana? For Marketing Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Marketing Data Engineer jobs in Indiana look for? The top searched job categories for Marketing Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Marketing Data Engineer jobs? Cities in Indiana with the most Marketing Data Engineer job openings:
Marketing Data Engineer jobs near you
Infographic showing various Marketing Data Engineer job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,433 per year, or $59.3 per hour.
Director of Marketing Analytics and Data Science (Digital Marketing Leader)

Director of Marketing Analytics and Data Science (Digital Marketing Leader)

Indiana University

Bloomington, IN • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Indiana University is seeking a Director of Marketing Analytics and Data Science to drive institutional outcomes by leading the use of data and analytics in designing, measuring, and improving audience experiences across a complex, multi-campus environment. Positioned within the Web and Digital Strategy team within University Communications and Marketing (UCM), this role collaborates closely with experts in marketing and communications, information technology, and higher education to ensure experiences are intentionally designed and informed by data.
Department Specific Responsibilities
  • Reports to the Executive Director of Web and Digital Strategy, the Director of Audience Experience leads the Audience Experience (AX) function.
  • Responsible for omnichannel audience insights, analytics, research, and forecasting.
  • Advances IU's experience engineering and data strategy by transforming data from a reporting function into a strategic capability enabling predictive and prescriptive analytics that guide university strategy, inform decisions, and drive outcomes such as enrollment, engagement, retention, and revenue.
  • Provides strategic leadership within UCM, ensuring data is translated into clear, actionable guidance that supports institutional goals and decision-making.
  • Builds and advances an analytics maturity model-leading a transition from descriptive and diagnostic analytics to predictive and prescriptive analytics, including forecasting, modeling, and outcome-oriented recommendations.
  • Operationalizes IU's experience engineering framework by aligning data with constituent lifecycle stages, triggers, gates, and customer journey orchestration across owned and paid channels.
  • Collaborates with subject matter experts across marketing functions to understand business needs and improve the ability to measure and optimize work.
  • Evangelizes a culture of data strategy and curiosity across the organization.
  • Applies advanced quantitative and analytical techniques (e.g., regression analysis, statistical modeling, A/B testing, multivariate experiments) to complex, multi-source datasets to understand audience behavior, performance, and opportunity.
  • Leads and develops a multidisciplinary Audience Experience team, including data engineering and data visualization specialists, fostering analytical rigor, collaboration, and continuous improvement.
  • Partners with staff to ensure scalable data pipelines, Extract, Transform, Load (ETL) processes, and centralized access to channel, audience, and institutional data that support segmentation, personalization, visualization, and analysis.
  • Collaborates across UCM, campuses, and functional areas to align analytics priorities, enable shared understanding of performance, and support insight-driven planning and investment.
  • Champions ethical, compliant, and responsible data practices, including data governance, privacy, security, and quality standards.
  • Monitors and leads through emerging trends in analytics, data science, and AI to inform continuous improvement and future-state strategy (cookie-less ecosystem, ubiquity of AI, etc.).
General Responsibilities
  • Directs operations for the digital marketing function by providing oversight and direction within a department, large multi-faceted department, or multiple departments.
  • Hires, trains, evaluates, coaches, assigns work, sets goals and objectives, determines staffing needs, and directs the work of a team of digital marketing staff.
  • Manages relationships with various internal and external stakeholders; determines digital marketing needs, projects, and programs to align with objectives and goals and manages processes such as the development of communications timelines related to such initiatives.
  • Reviews drafts of digital marketing strategies, content, and projects and coaches on grammar, tone, branding guidelines, formatting, and other elements that may affect the perception of messaging or reputation of the department.
  • Responds to escalated and complex inquiries and requests and explains policies, procedures, and context of communications.
  • Assists in budget planning and administration for digital marketing initiatives, including expenditures, revenue projections, and program costs.
  • Monitors industry trends and best practices, makes process and operational and strategic recommendations to manager, and assists in implementing recommendations to optimize operations and progress toward objectives.
  • May provide guidance to lower-level Digital Marketing Leaders.
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree in communications, journalism, English, public relations, data science, computer science, informatics, information systems, marketing, or related fields.
Preferred
  • Master's degree in data science, computer science, informatics, information systems, marketing, or related fields.
WORK EXPERIENCE
Required
  • 4 years in relevant field.
  • 1 year of management experience in relevant field.
Preferred
  • 7 years of progressive responsibility in analytics, data strategy, audience insights, or a related field within a complex organization.
SKILLS
Required
  • Proficient communication skills.
  • Maintains a high degree of professionalism.
  • Demonstrates time management and priority setting skills.
  • Demonstrates a high commitment to quality.
  • Excellent organizational skills.
  • Excellent collaboration and team building skills.
  • Effectively coaches and delivers constructive feedback.
  • Instills commitment to organizational goals.
  • Demonstrates excellent judgment and decision making skills.
  • Effective conflict management skills.
  • Builds and manages effective teams.
Preferred
  • Advanced quantitative and analytical skills, with demonstrated experience performing regression analysis, forecasting, statistical modeling, and multivariate analysis.
  • Strong understanding of analytics maturity models and the ability to guide organizations from reporting-focused analytics toward insight-, foresight-, and outcome-driven decision-making.
  • Ability to connect analytical work to concrete business or institutional outcomes, including revenue generation, enrollment, retention, and engagement.
  • Strong systems-thinking mindset, with the ability to integrate data across marketing channels, Customer Relationship Management (CRM) platforms, and institutional systems.
  • Familiarity with digital marketing and audience data ecosystems (e.g., GA4, CRM/CDP platforms, marketing automation, data visualization tools).
  • Data storytelling the ability to translate complex analytical findings into clear, compelling narratives and recommendations for senior leaders and non-technical stakeholders .
  • Demonstrated success leading through influence and partnership in decentralized or matrixed environments.
  • Experience leading or mentoring multidisciplinary teams that include analytics, data engineering, and data visualization roles.
  • Familiarity with higher education context.
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Work Location
Bloomington, Indiana or Indianapolis, Indiana.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Sr. Operational
FLSA: Exempt
Job Function: Marketing & Communications
Job Family: Digital Marketing
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
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