Role Overview
Plutus21 Capital is seeking a Senior Software Engineer (Python) with 3–4 years of experience in building scalable data infrastructure and pipelines. The ideal candidate is highly proficient in Python, has deep domain expertise, and is ready to take full ownership of the data function. This role goes beyond technical capability—it's about leading by example, taking initiative, and having the fight instinct to push through ambiguity and drive results. You’ll be instrumental in shaping the data strategy, team structure, and engineering standards at a fast-moving, mission-driven organization.
Key Responsibilities
- Design, build, and maintain reliable and scalable data pipelines to support analytics, operations, and product needs.
- Architect and implement robust ETL/ELT processes and manage data warehouse solutions.
- Take ownership of the data engineering team—providing technical leadership, mentoring, and setting high standards.
- Collaborate with cross-functional teams (Product, Engineering, Analytics) to deliver data-driven solutions.
- Monitor data pipeline health, automate error detection, and ensure data integrity.
- Drive the adoption of best practices in data modeling, testing, and deployment.
- Stay ahead of industry trends and proactively improve our data ecosystem.
- Lead sprint planning, code reviews, and technical discussions within the team.
- Build internal tools, APIs, and applications that support research workflows, strategy development, and operational monitoring.
- Design, build, and maintain robust and scalable data pipelines to ingest, normalize, and store large volumes of financial market and alternative data.
Required Skills and Qualifications
- 3–4 years of hands-on experience in Data Engineering or related roles.
- Expertise in Python for data processing, scripting, and automation.
- Strong knowledge of SQL and experience with both relational and NoSQL databases.
- Experience with data orchestration tools (e.g., Airflow, Luigi, or Dagster).
- Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop, etc.).
- Strong software engineering fundamentals: version control, testing, documentation, containerization (Docker), and CI/CD.
- Proven leadership capabilities—can lead a team, own deliverables, and make critical decisions.
- Strong problem-solving mindset and the ability to work independently under pressure.
- Demonstrated experience in optimizing performance and scalability of data systems.
Bonus Skills
- Familiarity with backtesting frameworks (e.g., Zipline, Backtrader, custom engines).
- Exposure to machine learning workflows, data labeling, and feature engineering in production settings.
- Previous experience in systematic trading, quant research support, or building tools for alpha signal discovery.
Culture Fit
At Plutus21 Capital, we’re building more than just technology—we’re building a culture of ownership, grit, and purpose. We value individuals who:
- Lead from the front and take full accountability for outcomes.
- Are self-starters who seek challenges and pursue excellence without waiting for permission.
- Possess a “fight instinct”—you push through obstacles and persevere under pressure.
- Are collaborative leaders, uplifting teammates and cultivating high standards.
- Thrive in a fast-paced, high-stakes environment with a bias toward action.
- Are committed to continuous growth, personally and professionally.
