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Marketing Data Engineer Jobs in Indiana (NOW HIRING)

Data Engineer

Indianapolis, IN ยท On-site

$109K - $131K/yr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital Innovation, Marketing, and Sales teams to ensure data flows efficiently across platforms and systems. The ...

... marketing data into unified customer and order models. โ€ข Lead and mentor a small team of data and analytics engineers while setting coding and review standards. ----- What You Bring: โ€ข 7+ years ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

You'll be a key partner to Marketing, Advertising, and Commercial leadership, ensuring that data ... Director of Data Engineering who builds and maintains the data platform and pipelines * Embedded ...

Sr. Data Engineer

Indianapolis, IN ยท Remote

$101K - $137K/yr

Our Data Engineering team builds and maintains the operational data foundation that powers real-time dashboards, client-facing reporting, and emerging AI-driven products, serving a growing portfolio ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

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Showing results 1-20

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 14, 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:
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.
Data Engineer

Data Engineer

Indianapolis Colts

Indianapolis, IN โ€ข On-site

$109K - $131K/yr

Full-time

Re-posted 23 days ago


Job description

The Indianapolis Colts are seeking an experienced Data Engineer to play a key role supporting the organization's data ecosystem, contributing to the development, maintenance, and optimization of data pipelines and systems that power sales, marketing initiatives, fan engagement, and analytics efforts. Working within our data engineering team, this role assists in transforming raw data into reliable, accessible, and actionable information for internal stakeholders. The Data Engineer collaborates closely with the Information Technology, Analytics & Digital Innovation, Marketing, and Sales teams to ensure data flows efficiently across platforms and systems. The ideal candidate is someone who thrives in a collaborative environment, is detail-oriented, and is passionate about building data solutions that drive business value.
This is a full-time position working from our main offices at the Indiana Farm Bureau Football Center. The successful candidate will embody the Colts core values in support of the team's mission to entertain, inspire and unite by winning the right way.
HIRING MANAGER
Vice President of Information Technology
RESPONSIBILITIES
โ€ข Data warehouse design, maintenance, performance tuning, and optimization.
โ€ข Design and manage ETL/ELT pipelines, data migrations, and data validation processes including data flows from NFL and third-party sources.
โ€ข Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure).
โ€ข Collaborate with CRM, Marketing, and Analytics teams to understand data needs and deliver reliable solutions.
โ€ข Develop modeled data sets for commercial business in collaboration the Analytics & Digital Innovation team.
โ€ข Monitor data flows and troubleshoot issues related to data ingestion, transformation, and delivery.
โ€ข Maintain data quality through validation, deduplication, and classification processes.
โ€ข Contribute to documentation of data processes, schemas, and workflows.
โ€ข Implement consumer privacy and consent processes through collaboration with the Privacy Coordinator to ensure compliance concerning PII, data lineage, and data governance.
โ€ข Implement cybersecurity best practices through collaboration with the Cybersecurity Engineer to ensure compliance with security controls and policies.
โ€ข Stay current with emerging technologies in data warehousing, pipelines, and reporting.
โ€ข Perform other duties as assigned.
QUALIFICATIONS
โ€ข Bachelor's degree in Computer Science, Information Systems, or a related field. An equivalent combination of education and experience may be considered.
โ€ข 2 - 4 years of data engineering experience.
โ€ข Proficiency in Snowflake SQL/T-SQL and Python.
โ€ข Familiarity with Microsoft Azure and cloud-based data platforms.
โ€ข Understanding of APIs, version control (GitHub), and CI/CD workflows.
โ€ข Experience with reporting platforms, including modeling data in support of reporting and analysis.
โ€ข Preferred experience with Matillion, Melissa, Power BI, Salesforce, Ticketmaster, and Fanatics.
โ€ข Experience in the Sports and Entertainment industry is a strong plus.
โ€ข Strong problem-solving skills and attention to detail.
โ€ข Effective team collaboration, communication, and interpersonal skills.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.