Similar Jobs
Fintech • Mobile • Software • Financial Services
The Senior Data Engineer will design, build, and maintain data solutions for risk management, focusing on data warehousing and pipeline development. They will mentor other engineers and drive data strategy.
Top Skills:
AirtableAnsibleApache AirflowApache KafkaCloudFormationDbtGithub ActionsGitlab Ci/CdPythonSnowflakeSQLTerraform
Fintech • Social Impact • Software
The Senior Data Engineer II will build and maintain data pipelines, support ML workflows, and enhance data architecture within the Data Department, contributing to the integration of ActBlue's internal data platform with user applications.
Top Skills:
DatadogDbtFivetranPostgresPytestPythonRedshiftSagemakerVertex Ai
Artificial Intelligence • Big Data • Consumer Web • Digital Media • Marketing Tech
The Sr. Data Engineer will design data collection infrastructure, support BI, manage datasets, and lead projects in data management and visualization.
Top Skills:
Aws (S3Documentdb)Etl Tools Like TalendGoogle AnalyticsGoogle BigqueryInformaticaPower BIPythonRedshiftSQLSqsSsisTableau
Join a pioneering financial services company that is redefining homeownership through innovative, data-driven solutions. As a Senior Data Engineer, you will be instrumental in designing and building scalable data pipelines, transforming complex datasets, and ensuring the reliability of the data infrastructure. Working closely with data scientists and analysts, you will provide critical insights that shape strategic decisions. If you are passionate about data engineering and thrive in a fast-paced, collaborative environment, this role offers you the opportunity to contribute to cutting-edge projects and help shape the future of data architecture
Requirements
- 5+ years of Python development experience.
- Desirable experience with AWS, including services like DynamoDB, S3, EMR, Glue, Athena, and Redshift.
- Knowledge of distributed computing engines, such as Apache Spark.
- Proficiency in both relational and non-relational databases, along with data modeling expertise.
- Experience setting up code pipelines using CloudFormation or Terraform.
- Familiarity with ETL pipeline development in OLAP and Data Warehouse environments.
- Hands-on experience with orchestration tools like Airflow.
- Understanding of serverless architectures and scalable application design principles.
- Proficiency with version control systems, particularly Git.
- Experience with Node.js, DevOps, and CI/CD practices is a plus.
- Background in cloud technologies (AWS/ Azure / GCP) and fintech or banking is desirable.
Responsibilities
- Design and implement scalable data pipelines in a horizontally scaled environment.
- Collaborate with cross-functional teams to understand business needs and define transactional scenarios across multiple microservices.
- Write high-quality, maintainable code that meets established standards and best practices.
- Build strong relationships with clients by understanding their business model and delivering solutions that align with their goals.
- Influence and communicate effectively at all levels, including management and engineering teams.
- Utilize distributed computing systems to transform and manage large datasets efficiently.
- Work with cloud-based technologies such as AWS to support the company’s data infrastructure.
- Contribute to continuous integration/continuous delivery (CI/CD) pipelines and DevOps practices.
- Collaborate with data scientists to ensure the availability and accessibility of critical insights for decision-making.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
