Senior Software Engineer, Data

Attain; Redwood City (CA); Hybrid; USD 110,000 - 150,000; Full time

Job summary

A leading company seeks a data engineer to build and scale their data infrastructure. This hybrid role involves designing data pipelines, ensuring data quality, and working collaboratively across product and engineering teams. Ideal candidates have substantial experience in data systems, proficiency in Python, and familiarity with tools like Airflow and GCP.

Qualifications

• 6+ years of experience in backend systems or data engineering roles.
• Proficiency in Python and familiarity with data orchestration tools.
• Experience with relational databases and cloud data warehouses.

Responsibilities

• Design and maintain data pipelines and orchestration layers.
• Ensure data integrity and correctness across datasets.
• Collaborate with teams to validate business logic and definitions.

Skills

Data Quality

Data Semantics

Collaboration

Problem Solving

Tools

Python

Airflow

GCP Workflows

Job description

Built for consumers and companies, alike. In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising.

At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You’ll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday.

This role is on the following hybrid schedule (Mondays in office, and choice of two days between Tues-Th) in our RWC office. Fridays are remote!

You’ll be a great fit for the role if you

• Enjoy building reliable data systems that power high-impact decisions and products
• Care deeply about data quality, semantics, and business logic – not just pipelines
• Proactively identify when data is misleading, incomplete, or broken
• Communicate clearly across technical and non-technical audiences
• Embrace feedback and thrive in a collaborative, fast-paced environment

What your day to day will look like

• Build and Scale Our Data Infrastructure
  • Design and maintain data pipelines and orchestration layers using modern tools (e.g., Airflow, GCP Workflows)
  • Own data workflows across cloud warehouses (BigQuery, Snowflake) and transactional stores
  • Develop monitoring, alerting, and testing for data health and anomalies
• Ensure Data Integrity and Meaning
  • Partner with product, analytics, and engineering teams to validate business logic and definitions
  • Define and maintain a clear, documented source of truth for key datasets
  • Own the semantic correctness of our data — not just its arrival
• Collaborate and Contribute Across the Stack
  • Write thoughtful, quality code that is readable, testable and easily maintainable
  • Participate in architecture reviews, agile ceremonies, and cross-functional planning
  • Help improve our data modeling, cataloging, and governance practices

Preferred Qualifications

• 6+ years of experience in backend systems or data engineering roles
• Proficiency in Python and familiarity with data orchestration tools (e.g., Airflow, GCP Workflows)
• Experience working with relational databases and large-scale cloud data warehouses
• Exposure to cloud infrastructure (GCP, AWS, or Azure)
• Familiarity with gRPC, Protobuf, or GraphQL
• Experience in AdTech, MarTech, or high-volume data environments is a plus
• Experience proactively working with modern AI-enhanced development tools (e.g., Cursor, Windsurf, Cody, etc.) and a curiosity for emerging AI workflows

We’re excited to hear from you.

At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn’t match every detail of the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.

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