Data Engineer

We’re looking for a Data Engineer to join our client working on a product that provides automated data analytics for financial data, transforming it into actionable insights.

Our client believes in a world where data analytics is not a privilege but a universal right and simple enough so anyone use it to drive the profitability of their businesses to transform the world. With industries like accounting and manufacturing facing massive workforce disruptions (i.e., 75% of the workforce retiring in the next 10 years), they’re positioned to step in and change how data drives decisions.

Our FinTech SaaS client empowers mid-sized firms to streamline strategic growth and month-end advisory reporting. Using proprietary algorithms to help mid-sized companies connect all their disparate data into one place, analyze it, create visual dashboards, and action plans to drive strategic decision-making.

Their goal is to reshape how businesses use data by reducing reporting time from weeks to minutes, helping industries like accounting and manufacturing overcome challenges like workforce disruptions. As a Data Engineer, you’ll play a critical role in optimizing data pipelines, integrating diverse data sources, and building the foundation for scalable, secure analytics.

What makes this role exciting?
– As one of the first hires in the team, you’ll have the freedom to define how solutions are built.
– Choose the methodologies and tools that best meet customers’ needs.
– Work on a high-growth platform backed by MIT, Harvard, Techstars, and Forbes-recognized innovation.
– Join the team at an exciting time — the client has grown their waitlist from 250 to 1,700 users in 10 months and recently secured $1.5M in seed funding.
– Solve critical gaps in the data analytics market and automate workflows for industries facing major workforce transformations.

What you’ll do in this role

• Design, implement, and maintain scalable ETL pipelines for data ingestion and transformation from tools like QuickBooks, Excel, and other financial platforms.
• Collaborate with engineering teams to ensure seamless data flow between backend APIs, databases, and visualization tools.
• Optimize the performance of databases (e.g., Postgres, DynamoDB), ensuring efficient handling of large-scale, complex datasets.
• Develop and maintain data models that align with analytics and reporting needs.
• Work closely with the DevOps team to ensure data pipelines are secure, reliable, and cost-efficient.
• Conduct data quality checks and implement automated validation processes to ensure accuracy and consistency.
• Troubleshoot and resolve data-related issues, ensuring minimal downtime and disruption.
• Contribute to the company’s SOC 2 compliance efforts, ensuring data security and privacy protocols are followed.

We’re looking for

• A professional with 5+ years of experience in data engineering, ETL development, or a related field.
• Proficient in Python or another programming language for data processing.
• Skilled in designing, optimizing, and managing databases like Postgres or DynamoDB.
• Experienced in building scalable ETL pipelines for data ingestion, transformation, and storage.
• Knowledgeable about cloud platforms (AWS preferred) and tools like Lambda, S3, and Redshift.
• Comfortable with data modeling and understanding the needs of analytics platforms.
• Passionate about ensuring data accuracy, security, and reliability in fast-paced environments.
• Familiar with SOC 2 compliance or other data security frameworks.
• Excellent English communication skills.

How to knock our socks off

• Experience integrating data from financial systems (e.g., QuickBooks, Excel).
• A strong understanding of data visualization requirements, including performance optimization for dashboards.
• Familiarity with real-time or near-real-time data processing pipelines.
• A history of contributing to high-growth startups or scaling data-intensive platforms.
• Naming five or more dishes that include beetroot besides borshch.

✔ Not checking every box?

This job looks very exciting, but you hesitate to apply because of the confidence gap? Reach out to us anyway! Beetroot is an inclusive workplace that considers all applicants. Equality is one of our core values. We're committed to providing equal opportunity and a sense of belonging for all Beetroot consultants and candidates. So let's discover together whether we could be an excellent fit for each other — send us your CV in English.