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Martech Data Engineer Jobs in Indiana (NOW HIRING)

Kobie Marketing

AI Engineer

Indianapolis, IN · Remote

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ... Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain Who we are As a ...

Kobie Marketing

Director, Product

Indianapolis, IN · Remote

$222K - $233K/yr

You will work directly with Product, Data Engineering, Client Services, and Commercial teams to ... martech, or data-driven environments. * Demonstrated experience defining and scaling products ...

Medium

Director, Product

Indianapolis, IN · On-site

$130 - $170/hr

You will work directly with Product, Data Engineering, Client Services, and Commercial teams to ... martech, or data-driven environments. * Demonstrated experience defining and scaling products ...

Medium

$120 - $180/hr

You will work directly with Product, Data Engineering, Client Services, and Commercial teams to ... martech, or data-driven environments. * Demonstrated experience defining and scaling products ...

Mood Media

Head of Engineering, ISM

Fishers, IN · On-site

Assess architecture, workflows, APIs, data/reporting pipelines, campaign-management dependencies ... Required Qualifications * 8+ years of engineering, platform, SaaS, ad-tech, commerce-media, martech ...

All JobsMartech Data Engineer JobsMartech Data Engineer Jobs in Indiana

Martech Data Engineer information

How does a Martech Data Engineer typically collaborate with marketing and analytics teams to achieve business goals?

As a Martech Data Engineer, you will regularly partner with marketing and analytics teams to design, build, and maintain data pipelines that support campaign performance tracking and customer segmentation. You’ll work closely with marketers to understand their data needs and translate them into scalable technical solutions, often attending cross-functional meetings to plan new data integrations or troubleshoot issues. Collaboration also involves ensuring data quality, managing ETL processes, and enabling self-serve analytics by making data accessible and reliable for non-technical stakeholders. This close teamwork helps drive data-driven decision-making and ensures marketing strategies are effectively measured and optimized.

What is a Martech Data Engineer?

A Martech Data Engineer is a technology professional who specializes in building and maintaining the data infrastructure that supports marketing technology (Martech) platforms. They enable the collection, integration, and analysis of marketing data from multiple sources, ensuring data quality and accessibility for marketing teams. Their work helps organizations make data-driven marketing decisions, personalize customer experiences, and measure campaign effectiveness. Martech Data Engineers often collaborate with marketers, analysts, and other engineers to implement data pipelines and optimize marketing operations.

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

To thrive as a Martech Data Engineer, you need a solid background in data engineering, SQL, and marketing technology platforms, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or GCP), and certifications in marketing automation systems like Salesforce or Adobe Experience Cloud are highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help bridge the gap between marketing and technical teams. These skills enable the efficient integration, analysis, and utilization of marketing data, driving better decision-making and campaign performance.

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

AspectMartech Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, marketing tech toolsData visualization, reporting, business insights
Employer & Industry UsageMarketing agencies, tech companies, e-commerceMarketing teams, business intelligence units
Common Search & Comparison IntentUnderstanding technical data roles in marketingAnalyzing marketing data for insights

The Martech Data Engineer focuses on building and maintaining data pipelines and infrastructure for marketing data, while the Data Analyst interprets data to generate insights and reports. Both roles are essential in marketing tech environments but serve different functions within data management and analysis.

What are popular job titles related to Martech Data Engineer jobs in Indiana? For Martech Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Martech Data Engineer jobs in Indiana look for? The top searched job categories for Martech Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Martech Data Engineer jobs? Cities in Indiana with the most Martech Data Engineer job openings:
Martech Data Engineer jobs near you
Infographic showing various Martech Data Engineer job openings in Indiana as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.

Marketing Technology Analyst (MarTech)

PadSplit

Brazil, IN • On-site

Contractor

Re-posted 11 days ago

Job description

The Role We Need

PadSplit is hiring a MarTech Analyst to own the measurement infrastructure that powers lifecycle marketing for Member and Host Growth to report into our Director of Performance Marketing. This means full ownership of our Customer Data Platform (Segment), our attribution stack (Rockerbox), and the event taxonomy that connects every marketing dollar and effort to member and host outcomes. You'll also serve as the technical bridge between our lifecycle automation platform (Iterable and Pardot) and Salesforce + analytics layer - ensuring that what we send, and when, is informed by clean, trustworthy data. 

This is an ownership role, not a ticket-taker role. You will sit at the intersection of marketing, data engineering, and product analytics. If you find joy in diagnosing why two dashboards don't agree, building event schemas that scale across mobile and web, and using AI to eliminate the manual work that slows decisions down - this role was designed for you. You cannot only report on what happened, but can also leverage the data to tell the story and what should be done next.

The Person We Are Looking For

The ideal candidate is a technical builder who has lived inside a CDP and come out the other side with strong opinions about how event data should flow. You have hands-on experience with marketing attribution platforms and know how to interrogate channel performance data rather than just report on it. You are fluent in SQL, comfortable in Python, and you've already incorporated AI tools - LLMs, prompt workflows, or automation pipelines - into your day-to-day work.

You thrive with ownership and ambiguity. You work async in English with confidence. You are the person your last team called when the numbers didn't add up, and you liked that call. You understand that measurement infrastructure does not support work - it is the foundation on which every growth decision is made.

Here's What You'll Do Day-To-Day:
  • Own Segment CDP governance: Maintain and evolve the event taxonomy across web, mobile, and server-side sources. Own cross domain and cross identity mapping. Audit data quality, resolve identity resolution issues, and ensure every marketing tool downstream receives clean, reliable data.
  • Own Rockerbox attribution: Serve as the day-to-day owner of our multi-touch attribution platform. Diagnose channel-level performance, investigate attribution anomalies (including consent tool impacts), and build the feedback loops that inform paid media spend decisions.
  • Build and maintain marketing measurement infrastructure: Develop and document the measurement layer for all Member and Host Growth experiments - owning success metrics integrity, building pre/post cohorts, and ensuring statistical validity before results are acted upon acting as a consultative partner to marketing.
  • Support lifecycle automation analytics: Partner with our Marketing Automation team (Iterable) to ensure behavioral triggers, segmentation logic, and campaign performance data are accurate and actionable. Audit automation flows for data integrity.
  • Build AI-augmented marketing analytics workflows: Identify repetitive analysis tasks - weekly reporting, anomaly detection, data quality checks - and replace them with AI-powered pipelines. You will be expected to actively prototype and ship AI workflows, not just evaluate them.
  • Partner across data, product, and paid media: Collaborate with our Data team (Snowflake warehouse), Performance Marketing (Rockerbox, AppsFlyer, Google/Meta), and Product (Segment instrumentation on new features) to ensure the measurement layer scales as the business does.
  • Build and maintain marketing dashboards: Own the marketing measurement layer in Hex and other BI tools. Create dashboards that give the team a single source of truth on CAC, conversion velocity, funnel efficiency, and channel-level attribution.
  • Diagnose attribution and data quality issues: When a metric looks wrong, you investigate and resolve it - not escalate it. You own the answer.
Here's What You'll Need To Be Successful:
  • Segment CDP mastery: Deep, hands-on experience managing a Segment workspace - event schemas, sources, destinations, identity resolution, and data governance. You know what a track call should look like and why it matters.
  • Attribution platform experience: Hands-on experience with Rockerbox, AppsFlyer, or a comparable MTA platform. You understand first-touch vs. last-touch vs. data-driven attribution and know when each is the right lens.
  • Optimizing Cross-Platform Integrations experience: You know how to make systems talk to one another leveraging tools like Zapier or Make to connect marketing, CRMs (Salesforce + ZenDesk), attribution tools and reporting systems. You love good automation. 
  • SQL proficiency (required): You write complex analytical queries independently - CTEs, window functions, cohort logic. Snowflake or BigQuery experience preferred.
  • Python proficiency (strongly preferred): Experience using Python for data manipulation, pipeline scripting, or analysis automation. Pandas, dbt, or similar tooling is a plus.
  • AI/LLM hands-on experience: You have built something with an LLM - a prompt-based workflow, an automated analysis pipeline, an agent-assisted reporting tool, or similar. You approach AI as a productivity multiplier, not a novelty.
  • Lifecycle/ESP/CRM analytics experience: Familiarity with Iterable, Braze, or a comparable lifecycle platform - specifically the analytics and data layer, not just campaign execution. 
  • Marketing analytics fluency: You understand CAC, LTV, conversion rate by funnel stage, channel specific nuances and ROAS. You can move between a data model and a marketing strategy conversation without losing context.
  • English fluency (required): You will work daily with a US-based team. Strong written and spoken English is essential for async collaboration, documentation, and cross-functional alignment.
  • Experiment measurement: Experience designing measurement frameworks for A/B tests - control/treatment cohort construction, metric selection, and results interpretation.
The Interview Process:
  • Your application will be reviewed for possible next steps by the Hiring Manager.
  • If you meet eligibility requirements, the next step would be a phone screen with a member of the PeopleOps team for approximately thirty (30) minutes.
  • If warranted, the next step would be a video interview with the Director of Performance Marketing for forty-five (45) minutes.
  • If warranted, the next step would be a technical assessment and video interview with a small panel of key stakeholders (Data, Performance Marketing, Marketing Automation) for one (1) hour. Candidates will walk through a live data scenario for discussion.
  • If warranted, the final step would be a thirty (30) minute interview with the VP of Member Growth and the President.
  • If warranted, then we move to offer!
$55,000 - $64,000 a year
Compensation is based on the role's scope, national market benchmarks, the person's expertise and experience, and the impact of their contributions to our business goals.
Please note: Although the job posting says it's in Brazil, this is a fully remote position open to anyone in South America. This is a result of our Applicant Tracking System requiring a location to post the role on LinkedIn.
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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