Software Engineer, Data

Mitchell Martin Inc.; New York (NY); Hybrid; USD 90,000 - 115,000; Full time

Job summary

Mitchell Martin Inc. in New York, NY seeks a Software Engineer, Data to maintain and evolve data systems with a hybrid work setup. Join a small team delivering data-driven insights across the business.

The role focuses on building reliable data pipelines, modeling data, and collaborating with stakeholders to translate needs into robust analytics platforms using Python, SQL, dbt, and cloud services.

This position offers growth opportunities and exposure to modern data technologies.

Qualifications

• Intermediate to advanced SQL skills.
• Experience building data pipelines with third-party APIs.
• Experience with data orchestration tools.
• Working knowledge of cloud data warehouses and basic cloud service knowledge.

Responsibilities

• Design, build, and maintain data assets for ingestion, transformation, and loading.
• Develop and maintain models to support data transformations within the warehouse.
• Build and maintain integrations with third-party APIs to construct reliable data pipelines.
• Implement best practices for extraction, transformation, loading, and storage processes.
• Partner with stakeholders to understand data needs and translate them into actionable insights.

Skills

General programming

Object-oriented programming

SQL

APIs

Tools

dbt

Dagster

Snowflake

AWS

GitHub

Job description

Software Engineer, Data - New York, NY (Hybrid) - Full Time - $90,000 - $115,000 Per Year

Title:

Software Engineer, Data

Location:

New York, NY (Hybrid)

Employment Type:

Full Time

Compensation

Pay Range: $90,000 - $115,000 Per Year

Job Summary

• This full-time position is based in New York, NY, and requires a hybrid work setup.
• The role involves maintaining and evolving data systems and platforms to support business-critical operations and analytics.
• The successful candidate will work with a small team to integrate data across various departments, enhancing data processes and infrastructure for future initiatives.
• Key technologies include a general programming language, data orchestration, and data modeling tools.

Key Responsibilities

• Design, build, and maintain data assets for ingestion, transformation, and loading.
• Develop and maintain models to support data transformations within the warehouse.
• Build and maintain integrations with third-party APIs to construct reliable data pipelines.
• Implement best practices for extraction, transformation, loading, and storage processes.
• Partner with stakeholders to understand data needs and translate them into actionable insights.

Qualifications

• Intermediate to advanced skills in a general programming language, including object-oriented programming.
• Experience working with third-party APIs to build data pipelines.
• Intermediate to advanced SQL skills, including complex queries.
• Experience with data orchestration tools.
• Working knowledge of cloud data warehouses and basic cloud service knowledge.

Core Technologies

Python | SQL | dbt | Dagster | Snowflake | AWS | GitHub

Contact Authorization

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