Staff Data Engineer New New York, New York

Unite Us; New York (NY); Remote; USD 175,000 - 200,000; Full time

Benefits offered by this job

Paid Parental Leave

401K Match

Flexible Vacation Time

Medical, Dental and Vision Coverage

Commuter Benefits

Job summary

Unite USA Inc. dba Unite Us is seeking a Staff Data Engineer in New York to lead data architecture and platform design. You will guide technical decisions, govern data standards, and partner with cross-functional teams to scale data solutions.

The role focuses on building ETL pipelines with Airflow, DBT, Python, and Snowflake, plus streaming with Kafka and dashboards for data health. Strong leadership and cloud skills are essential.

Qualifications

• Master’s degree in Data Science, Applied CS, or related field.
• 4+ years building scalable data pipelines and architectures.
• Experience with Airflow, Python, Kafka, Spark, and SQL.
• Proficient in cloud data platforms and CI/CD practices.

Responsibilities

• Lead enterprise-wide data architecture strategy and long-term platform design.
• Evaluate major technical designs and establish engineering best practices.
• Serve as tech advisor to leadership and influence roadmaps.
• Champion data governance, democratization, and data standards.
• Develop ETL pipelines using Airflow, DBT, Python, and Snowflake.
• Design and manage large-scale data ingestion and processing workflows.
• Build and scale CI/CD pipelines and data quality frameworks.
• Create monitoring, validation, and dashboards for pipeline health.
• Build streaming pipelines with Confluent Kafka for event processing.

Skills

Data architecture

Leadership

Data governance

CI/CD

Cloud infrastructure

Python programming

SQL querying

ETL design

Big data systems

Data quality

Education

Master’s degree in Data Science/CS or related field

Tools

Airflow

DBT

Python

Snowflake

Confluent Kafka

Docker

Kubernetes

Jenkins

GitHub

AWS

Hive

Spark

SQL

Job description

Unite USA Inc. dba Unite Us

Staff Data Engineer

Location: New York, New York

Job Description

The Staff Data Engineer will lead enterprise-wide data architecture strategy and long-term data platform design. Evaluate and approve major technical designs, including establishing engineering best practices. Serve as technical advisor to leadership and influence product/data roadmap. Champion data governance, democratization, and scalable data standards. Work with cross functional teams including the Solutions Delivery, Business Intelligence; Predictive Analytics, and Enterprise Services teams to assist with and support any data-related technical issues and/or needs. Analyze, manipulate, and process large sets of data using statistical software. Develop ETL (Extract, Transform, Load) and data pipeline solutions using Airflow, DBT, Python, and Snowflake to load a data warehouse. Design and manage ETL workflows to support large-scale ingestion, transformation, and loading of data. Build and scale CI/CD pipelines and enterprise-wide data quality frameworks. Test internal data pipelines for reliability and performance. Test, validate, and reformulate models to ensure accuracy. Complete and improve monitoring and validation processes to maintain pipeline reliability and data accuracy. Write new functions or applications in programming languages to conduct analysis. Build streaming pipelines with Confluent Kafka for event-driven processing. Build dashboards and monitors for pipeline health, freshness, uptime, and SLA compliance. Apply data modeling to extract and analyze information from large structured and unstructured datasets. Telecommuting available anywhere in the United States. Annual salary between $175,000 - $200,000.

Job Requirements

Requires at least a Master’s degree or foreign equivalent in Data Science, Applied Computer Science, Computer Science or a related field. Must possess 4 years (48 months) of experience with all of the following: (a) developing and optimizing scalable pipelines using Apache Airflow and Python; (b) building streaming pipelines using Kafka; (c) tuning big data systems using Kafka and Hive; (d) using Spark to create jobs for batch and streaming analytics; (e) writing and using complex SQL queries to retrieve data from data warehouses for analysis and reporting (f) using AWS for data processing and large-volume workloads; (g) automating deployment of code and processes using Python; (h) working with cloud-based infrastructure; (i) building Datadog dashboards to monitor pipelines and system performance; (j) using Docker and Kubernetes to improve and validate containerization and automation reliability; (k) implementing Continuous Integration/Continuous Deployment (CI/CD) using Jenkins; and (l) utilizing all of the following: GitHub as a code repository, Windows and Linux operating systems. Experience may be gained concurrently. Telecommuting available anywhere in the United States.

• Paid Parental Leave
• 401K Match
• Flexible Vacation Time
• Medical, Dental and Vision Coverage
• Commuter Benefits

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Unite Us's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.