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Senior Data Engineer

Ekimetrics· New York – Data Architecture & Engineering
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Hybrid (New York – New York, NY / Portland, OR)$125k - $140kPermanent positionPosted 2mo ago

About the role

Senior Data Engineer responsible for designing, implementing, and optimizing ETL solutions for Marketing Mix Modeling and broader Marketing Effectiveness initiatives; leads data pipelines, data architectures, stakeholder management, and project delivery in a hybrid, permanent role.

Responsibilities

  • Design, develop, and deploy scalable data pipelines and ETL workflows in Databricks.
  • Transform and harmonize data from diverse sources and formats (i.e. APIs, CSV files, JSON, databases, cloud platforms, file transfers, etc.)
  • Build and industrialize cloud-based data solutions and frameworks that support efficient data ingestion, integration, processing, and delivery, enabling reliable and analytics-ready datasets for accounts.
  • Define and implement robust data architectures, QA, validation, and monitoring processes to ensure accuracy, consistency, reliability, and scalability.
  • Partner with internal and external stakeholders to understand client data ecosystems, business objectives, account needs, and long-term goals, ensuring alignment between solutions and business priorities.
  • Translate client requirements into scalable data engineering designs, collaborating cross-functional teams to develop effective ETL frameworks.
  • Serve as a trusted point of contact through project delivery, communicating technical recommendations and project progress while promoting best practices in data management.
  • Take ownership of project deliverables from planning through execution, managing priorities, timelines, and risks to ensure high-quality outcomes delivered on time aligned with client objectives.
  • Proactively identify and mitigate potential project, technical, and data-related risks, communicating issues, recommendations, and status updates clearly.
  • Collaborate cross-functionally to coordinate activities, align expectations, and drive project execution.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related quantitative field
  • 4-6 years of experience in data engineering, analytics, or statistical modeling
  • Proficient with Databricks (Delta Lake, Spark, Asset Bundles, Unity Catalog, Cluster Management)
  • Proficiency in Python and working knowledge of SQL, Spark, and Bash scripting
  • Experience with templating languages is a plus
  • Skilled in building and deploying production-grade data pipelines and architectures complete with CI/CD plus experience with ELT/ETL processes
  • Experience with Azure required, familiarity with GCP or AWS a plus
  • Experience with PowerBI or Tableau for dashboarding and data visualizations
  • Exposure to ML or advanced analytics techniques is a plus
  • Strong communication, stakeholder management, and project delivery skills, with ability to explain technical concepts to non-technical audiences

Skills

Required:DatabricksPythonSQLSparkBash scriptingAzurePowerBI or TableauCI/CDETL/ELTCommunication
Nice to have:GCP or AWS

Benefits

  • The Eki.Academy training catalog with programs to enhance skills
  • Dynamic environment with strong culture and great offices
  • Close-knit team with bi-monthly team events
  • Client exposure up to executive level
  • Modern office off Wall Street with best-in-class amenities
  • Emphasis on work-life balance and 20 days of PTO with 11 annual holidays in a flexible hybrid work environment
  • Opportunities for international mobility across Paris, London, Hong Kong, and Shanghai
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Ekimetrics

AI Business Solutions – Ekimetrics

Ekimetrics provides AI business solutions, enhancing business operations and driving efficiency through data and AI solutions.

AIBusiness SolutionsData AnalyticsMarketing & Commercial EffectivenessCustomer AnalyticsOperational ExcellenceAI for Sustainability
Company profileWebsite

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