Top Data Engineer Jobs in NYC
Build, orchestrate, and monitor model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, collaborate with client teams, and contribute to researching and evaluating new technologies.
Collaborate with internal and client teams to implement high-quality technology solutions, lead project modules, validate technical designs, apply best practices, mentor junior members, and manage project deliverables. Requires Bachelor's or Master's degree, 3+ years of experience, proficiency in RDBMS, SQL, data warehousing, Big Data technologies, AWS services, and programming languages like Python or Scala.
Lead end-to-end projects using cloud technologies to solve complex business problems, provide technology expertise to maximize value for clients, drive strong delivery methodology, guide and mentor project team members, collaborate with experts to drive innovation, and assist with business case development.
Senior Associate on the Data Taxonomy team responsible for leading projects related to product adoption, enhancements, production fixes, and data integrity. Collaborate with stakeholders and technology team to prioritize features, drive product enhancement backlog, and ensure platform stability. Develop project reports, conduct data analysis, and track defects throughout the Agile Development Lifecycle.
Lead strategic planning and execution for scalable machine learning infrastructure and products at JP Morgan Asset Management. Collaborate with data science and business teams to deliver end-to-end machine learning applications and data pipelines. Manage and support a global team of ML and MLOps engineers. Operate in a multi-cloud environment with a focus on AWS and Azure technologies.
Apply sophisticated machine learning methods to tasks such as NLP, speech analytics, time series predictions, and recommendation systems. Collaborate with various teams to deploy solutions into production and drive firm-wide initiatives by developing large-scale frameworks for the application of machine learning models.
Seeking a savvy data visualization and metrics professional proficient in Tableau and BI tools for creating and updating reports. Responsibilities include building data infrastructure, developing dashboards, automating data delivery, and leveraging Machine Learning for insights. Ideal candidate communicates well, excels in Python and SQL, and is cybersecurity-focused. Requires 4 years of database management experience, 3 years of Tableau experience, and 2 years of Python scripting and Machine Learning framework experience.
Collaborate with Agile teams to design, develop, test, and support technical solutions using Java, Scala, Python, Redshift, and Snowflake. Stay updated on tech trends, mentor team members, and contribute to cloud-based solutions. Requires Bachelor's degree and 4 years of dev experience.
Lead a team of data engineers in designing, developing, and implementing technical solutions using full-stack development tools and technologies. Provide technical and people leadership to drive data transformation within Capital One.
Featured Jobs
Responsible for all aspects of NBC Sports Next data platform, data integration, and data analytics. Leading improvements of existing data solutions and development of new solutions to address business requirements.
Design and implement data pipelines, optimize data infrastructure, monitor pipeline performance, stay updated on data engineering technologies, and collaborate with multiple teams for analytics and reporting data needs at Peloton.
As a Principal Data Consultant at Sourced, you will be responsible for building and nurturing relationships with internal and external stakeholders, leading a team of consulting experts, and implementing cloud-based solutions. You will be a trusted advisor for enterprise clients, driving discussions at the C-level, and providing guidance and support in data and AI strategies. Deep experience in delivering solutions in security-conscious and regulated environments is required.
The Senior Data Engineer role at Findigs involves enhancing data infrastructure, focusing on data ingestion, pipeline orchestration, data warehousing, and data transformation. The candidate will work with technologies like Snowflake, dbt, and Python scripting to drive innovative data solutions.
As an Analytics Engineer at Sage, you will lead data governance initiatives, enhance data pipelines for scalability, collaborate on reporting solutions, and drive continuous improvement through technical research. Minimum qualifications include 3 years of analytics engineering experience and proficiency in Python, Tableau, and data visualization tools.
GoodRx is looking for a Sr. Data Engineer II to work on building outstanding data pipelines and processes using a variety of languages and raw data formats. Responsibilities include scaling infrastructure, improving reliability, deploying and maintaining data processing pipelines using cloud technology, and making smart engineering decisions based on data auditing. 5+ years of experience with cloud providers and engineering data pipelines is required.
GoodRx is looking for an experienced Senior Machine Learning Engineer to enable and accelerate our machine learning efforts. The ideal candidate should possess practical, hands-on data and analytics technical expertise and strong understanding of various machine learning models. Responsibilities include developing and implementing analytical capabilities, building machine learning models and pipelines, improving infrastructure, and mentoring junior engineers.
Seeking a Director of Data and AI to lead and deliver audit efforts ensuring responsible use of data and AI technologies. Responsibilities include risk assessments, providing assurance, guiding teams, building relationships, staying updated with trends, and leading audit teams. Required skills include proficiency in data and AI concepts, strong communication and leadership skills, project management, and flexibility.
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