Marketing Data Engineer

Title: Marketing Data Engineer

Location: Remote US

Duration: 12 months

Compensation: $60-80/hr

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

As a Data Engineer in the Marketing Analytics area you will have the opportunity to work across family of products. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

Responsibilities

Work with the MarTech, Marketing Data Science and Data Ops teams, translating their needs into tangible analytical solutions to improve marketing efficacy by providing impactful insights through streamlined and automated reporting

Design and Develop data models, pipelines, dashboards, and other analytic solutions to support Marketing programs and campaigns

Solve data integration problems, utilizing optimal Extract, Transform, Load (ETL)

patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

Collaborate with engineers, data scientists, program/product managers and marketers to understand data needs, representing key data insights in a meaningful way

Conceptualize data architecture for large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems

Implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues

Produce clear, concise, accurate, and decision-ready analytical deliverables; independently validate all AI-assisted output for correctness, originality, and business relevance

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field,

or equivalent

5+ years of experience where the primary responsibility involves working with data. This could include roles such as data engineer, data scientist, data infra, or similar positions

5+ years of experience with SQL, ETL, data modeling, data visualization and at least one programming language (Python is preferred)

Preferred Qualifications:

Experience building and maintaining data integrations with advertising and marketing technology platforms (e.g., Meta, Google Ads/DV360/CM360, TikTok, Salesforce), including collecting ads performance data via APIs, webhooks, or batch file imports, and managing data pipelines & and business intelligence solutions that support marketing measurement, reporting, and decision-making.

Experience building and maintaining survey data infrastructure: collecting data from survey platforms (Qualtrics, Medallia, custom web apps) via APIs, webhooks, or batch imports, and designing flexible data models that support storage, transformation, and modeling of complex questionnaire responses

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact View email address on click.appcast.io for assistance.

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