Kforce Inc

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in New York, NY, with a contract length of "unknown." The pay rate is "unknown," requiring 6-8 years of experience in data warehouses, ETL pipelines, and expertise in Snowflake, DBT, and Apache Airflow.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
600
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πŸ—“οΈ - Date
October 4, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York, NY
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🧠 - Skills detailed
#Data Engineering #AI (Artificial Intelligence) #Data Lake #Data Integrity #Monitoring #Airflow #Snowflake #Data Pipeline #"ETL (Extract #Transform #Load)" #Data Architecture #dbt (data build tool) #Apache Airflow #BI (Business Intelligence) #Data Warehouse
Role description
Responsibilities Kforce has a client that is seeking a Senior Data Engineer in New York, NY. Responsibilities: β€’ Implement data architecture and infrastructure that aligns with business objectives β€’ Collaborate closely with Application Engineers and Product Managers to ensure that the technical infrastructure robustly supports client requirements β€’ Create ETL and data pipeline solutions for efficient loading of data into the warehouse along with their testing to ensure reliability and optimal performance β€’ Collect, validate, and provide high-quality data, ensuring data integrity β€’ Champion data democratization efforts, facilitating accessibility to data for relevant stakeholders β€’ Guide the team with regard to technical best practices and contribute substantially to the architecture of our systems β€’ Supporting operational work like onboarding new customers to our data products and participating in on-call for the team β€’ Engage with cross-functional teams, including Solutions Delivery, Business Intelligence, Predictive Analytics, and Enterprise Services, to address and support any data-related technical issues or requirements Requirements β€’ At least 6-8 years of experience in working with data warehouses, data lakes, and ETL pipelines β€’ Proven experience with building optimized data pipelines using Snowflake and DBT β€’ Expert in orchestrating data pipelines using Apache Airflow, including authoring, scheduling, and monitoring workflows The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking β€œApply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.