Stash

9 Stash Data Engineer Jobs Hiring Near You

At Stash, we're passionate about democratizing wealth creation through education, advice, and ... Join our Data team as a Senior Manager, Data Engineering and play a key role in evolving and ...

Senior Fullstack Engineer

New York, NY ยท Hybrid

$134K - $176.70K/yr

We're looking for a Senior Fullstack Engineer to lead our B2B efforts for the StashWorks product ... Stash guidelines (especially for sensitive data), and owning the quality of AI-assisted work

Provide support to Legal, Compliance, Product, and Engineering teams to establish, monitor and ... to Stash guidelines (especially for sensitive data), and owning the quality of AI-assisted work ...

Provide support to Legal, Compliance, Product, and Engineering teams to establish, monitor and ... to Stash guidelines (especially for sensitive data), and owning the quality of AI-assisted work ...

Provide support to Legal, Compliance, Product, and Engineering teams to establish, monitor and ... to Stash guidelines (especially for sensitive data), and owning the quality of AI-assisted work ...

Lead cross-functional collaboration with engineering, design, compliance, legal, marketing, and ... Stash guidelines (especially for sensitive data), and owning the quality of AI-assisted work

Lead cross-functional collaboration with engineering, design, compliance, legal, marketing, and ... Stash guidelines (especially for sensitive data), and owning the quality of AI-assisted work

Director, Product Design

New York, NY ยท On-site

$169.60K - $208.40K/yr

Product Design partners with Product, Engineering, Marketing, and Data Science to ship the Stash experience end to end. The team's job is simple to say and hard to do: make money feel understandable ...

Director, Product Design

New York, NY ยท Hybrid

$169.60K - $208.40K/yr

Product Design partners with Product, Engineering, Marketing, and Data Science to ship the Stash experience end to end. The team's job is simple to say and hard to do: make money feel understandable ...

Stash Jobs Information

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What other companies are hiring for Data Engineer jobs?
What are the most popular jobs at Stash?
Infographic showing various Data Engineer job openings at Stash in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, and 14% Hybrid job distribution.