Data Engineer

7Seventy; United States; On-site; USD 140,000 - 165,000; Full time

Benefits offered by this job

Stock options

401(k) with 50% match up to 6%

$100/month wellness stipend

Job summary

7Seventy is seeking a data platform engineer to design and implement data solutions in a remote, full-time role. You will work with the Staff Data Engineer and product partners to deliver scalable data infrastructure and analytics capabilities.

You’ll ship high-quality software, collaborate on feature development, and own delivery from specification to deployment with guidance from senior peers. The role emphasizes data warehouse concepts and cloud infrastructure.

Qualifications

• 2+ years using Python and SQL to build data-intensive applications or 3+ years as a Software Engineer using Python and SQL in a primarily Python codebase.
• Experience working on production data systems in a collaborative team environment.
• Strong proficiency in Python and SQL.
• Working knowledge of relational databases, especially PostgreSQL.
• Familiarity with observability, performance optimization, CI, automated testing, and cloud infrastructure.
• Understanding of distributed computing, data warehouse concepts, and data lake storage patterns.
• Excellent communication skills, including the ability to explain and advocate for technical initiatives to non-technical stakeholders.

Responsibilities

• Design and plan new data platform solutions in collaboration with the Staff Data Engineer, product partners, and internal stakeholders using RFCs and technical specs.
• Build and deliver high-quality software with strong engineering fundamentals.
• Partner with teammates to plan and execute new features with a clear focus on data platform requirements.
• Own execution from specification through delivery, with support from senior peers.
• Grow your impact through code reviews, pairing, 1:1s, and team trainings.
• Develop deep expertise in the data ecosystem and reporting platform to support Client Strategy, Business Operations, and partners.
• Balance practical delivery with thoughtful management of technical debt.
• Learn the nonprofit giving and e-commerce enablement space and apply that context to your work.
• Contribute to a team culture rooted in community, inclusivity, care, accountability, and support.
• Drive continuous improvement through goal setting, feedback, and growth opportunities.

Skills

Python

SQL

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

PostgreSQL

Apache Spark

Apache Airflow

Kubernetes

Snowflake

Tableau

uv

Job description

Join a highly motivated, mission-driven team working to increase funding for high-impact nonprofits. This is a full-time, remote role where you’ll help build and maintain the data infrastructure and processes that power internal and external business intelligence.

Our data platform processes 7TB+ of data every 90 minutes, delivering complex analytics to partners and actionable insights to internal stakeholders. You’ll work hands-on with modern open-source data technologies, ship new features, and improve existing functionality through bug fixes and enhancements.

Compensation

Base salary range: $140,000–$165,000 per year, depending on experience and qualifications.

Total annual compensation: $154,000–$181,500 per year, including an up to 10% annual performance-based bonus.

Additional compensation: Stock options.

• Apache Spark (PySpark)
• Apache Airflow (workflow orchestration)
• uv (Python package manager)
• Snowflake (data warehouse)

What You’ll Do

• Design and plan new data platform solutions in collaboration with the Staff Data Engineer, product partners, and internal stakeholders using RFCs and technical specs.
• Build and deliver high-quality software with strong engineering fundamentals.
• Partner with teammates to plan and execute new features with a clear focus on data platform requirements.
• Own execution from specification through delivery, with support from senior peers.
• Grow your impact through code reviews, pairing, 1:1s, and team trainings.
• Develop deep expertise in the data ecosystem and reporting platform to support Client Strategy, Business Operations, and partners.
• Balance practical delivery with thoughtful management of technical debt.
• Learn the nonprofit giving and e-commerce enablement space and apply that context to your work.
• Contribute to a team culture rooted in community, inclusivity, care, accountability, and support.
• Drive continuous improvement through goal setting, feedback, and growth opportunities.

What We’re Looking For

• 2+ years using Python and SQL to build data-intensive applications or insights, or 3+ years as a Software Engineer using Python and SQL in a primarily Python codebase.
• Experience working on production data systems in a collaborative team environment.
• Strong proficiency in Python and SQL.
• Working knowledge of relational databases, especially PostgreSQL.
• Familiarity with observability, performance optimization, CI, automated testing, and cloud infrastructure.
• Understanding of distributed computing, data warehouse concepts, and data lake storage patterns.
• Excellent communication skills, including the ability to explain and advocate for technical initiatives to non-technical stakeholders.

Nice to Have

• Experience in an early-stage startup environment.
• Experience with BI tools (e.g., Tableau).
• Hands-on experience with Apache Spark, Apache Airflow, or Kubernetes.
• Bachelor’s degree in Computer Science or a related field (or equivalent training/fellowship/work experience).
• 401(k) with a 50% match on contributions up to 6% of base salary
• $100/month wellness stipend
• Stock options

Recruitment notice: all communication only happens from authorized email addresses ending in @7seventy.net. We never ask for payments or sensitive documents. Suspect a scam? Email [e-mail]