Ekimetrics
Senior Data Engineer
$125K–$140K
New York +1 · Hybrid · Senior · Full-time · Posted Aug 13, 2026
- Location
- New York
Portland - Experience
- 4–6 years in data engineering, analytics, or statistical modeling.
- Education
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related quantitative field.
- Visa sponsorship
- No visa sponsorship or transfer offered.
About the job
Leads delivery of scalable data pipelines and cloud data architectures for marketing analytics and Marketing Mix Modeling projects, coordinating with clients and cross-functional teams.
What you'll do
- Design, deploy, and optimize Databricks data pipelines, ETL workflows, and cloud data solutions, including quality, validation, and monitoring processes.
- Translate client needs into data engineering designs and communicate recommendations, progress, and risks to stakeholders.
- Own project deliverables, priorities, timelines, and risk management from planning through execution.
What they ask for
- Proficiency with Databricks, including Delta Lake, Spark, Asset Bundles, Unity Catalog, and Cluster Management.
- Proficiency in Python and working knowledge of SQL, Spark, and Bash scripting.
- Production-grade data pipelines and architectures, CI/CD, and ELT/ETL experience; Azure experience required.
- Experience with PowerBI or Tableau; strong communication, stakeholder management, and project delivery skills.
Nice to have
- Templating languages; familiarity with GCP or AWS.
- Exposure to ML or advanced analytics techniques.
Pay
USD 125,000–140,000 per-year-salary (base salary)
Tools
Databricks, Delta Lake, Spark, Asset Bundles, Unity Catalog, Python, SQL, Bash
AI focus
Supports Marketing Mix Modeling, Marketing Effectiveness, marketing analytics, and broader AI-powered solutions.
Model-written summary · the original posting is authoritative