A complete application in a minute
Tailored resume and cover letter, ready to send.
Summit Atlantic Partners in New York, NY seeks a Data Engineer to design, build, and maintain data infrastructure. In this full-time role you will develop data pipelines, ensure data integrity, and collaborate with data scientists to optimize performance and scalability.
You should have a strong background in SQL, Python, and big data technologies, with experience in AWS or GCP. A bachelor’s degree in CS/Engineering is required, and the deadline is 2026-11-23.
Summit Atlantic Partners, a leading investment firm, seeks a Data Engineer in New York, NY. This full-time role involves designing, building, and maintaining data infrastructure. Salary is negotiable, ranging from $150,000 to $231,693 per year.
As a Data Engineer, you will develop and implement data pipelines, ensuring data integrity and availability. You will collaborate with data scientists and analysts, optimizing data processing systems for performance and scalability.
You will join the growing team in New York, NY, a bustling city known for its vibrant culture and diverse population. Here, you will have the opportunity to work with cross-functional teams, including marketing, sales, and operations, to support data-driven decision-making processes. This means you'll be involved in analyzing data to identify trends, patterns, and insights that can inform strategic decisions. You'll collaborate with team members to develop data visualization tools and reports, ensuring that everyone has access to the information they need to make informed choices. Your role will be crucial in helping the company leverage its data assets to drive growth and innovation.
The annual salary for this position ranges from $150,000 to $231,693, providing a competitive compensation package. While the specific benefits are not detailed, it is likely that the role includes standard perks such as health insurance, retirement plans, and possibly other employee benefits. The salary range suggests a position that offers a substantial income, reflecting the responsibilities and qualifications required for the role.
You should have a strong background in data engineering, with proficiency in SQL, Python, and big data technologies. Experience with cloud platforms like AWS or GCP is highly desirable. A bachelor's degree in Computer Science, Engineering, or a related field is required, along with a passion for data and problem-solving mindset.
The application deadline is flexible, with a valid through date of November 23, 2026.