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Full time

Technology

SJ

Senior Data Engineer

Selby JenningsManhattan, NY🇺🇸United StatesPosted 7 Sept 2026

Quick Overview

Seniority

Mid Senior

Employment type

Full Time

Work mode

Hybrid

Location

Manhattan, NY, United States

Posted

2 days ago

SQLETLSnowflakeAzureDatabricksPythonTerraform

Job Description

Responsibilities

Build and optimize scalable data pipelines and data products.
Develop reliable datasets for analytics, reporting, and AI applications.
Establish data engineering standards, frameworks, and best practices.
Improve data quality, monitoring, testing, and platform observability.
Integrate and reconcile complex datasets from multiple sources.
Partner with business stakeholders and technical teams to deliver impactful solutions.
Drive automation and operational excellence across the data platform.
Mentor engineers and contribute to technical leadership within the team.

Qualifications

6+ years of data engineering experience in production environments.
Advanced Python and SQL skills.
Strong experience with Databricks, Snowflake, or similar cloud data platforms.
Hands-on experience with Spark/PySpark and large-scale data processing.
Deep understanding of data modeling, ETL/ELT, and data warehousing concepts.
Experience building data quality, validation, and monitoring solutions.
Comfortable working with complex, imperfect datasets and solving data integrity challenges.
Strong communication skills and ability to operate independently.
Bachelor's degree in a technical or quantitative field.

Preferred

Azure cloud experience.
Background working with financial, healthcare, life sciences, or alternative data.
Experience with CI/CD, Terraform, and modern data engineering tooling.
Exposure to AI/ML platforms and data products.
Previous leadership or mentoring experience.

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