Software Engineer, Data
$90k - $115kMitchell Martin
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:
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here
Benefits:
Learn more about our benefits offerings here
Onboarding Expectations:
Learn more about our Onboarding Process here
EEO Statement:
Learn more about our EEO policy here
#LI-AG3
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:
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here
Benefits:
Learn more about our benefits offerings here
Onboarding Expectations:
Learn more about our Onboarding Process here
EEO Statement:
Learn more about our EEO policy here
#LI-AG3
Vacancy posted 5 hours ago
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