Sobre esta vaga de Senior Back End Engineer, Data na Altruist
About Altruist
Altruist is transforming the multi-trillion dollar wealth management industry by building an AI platform for wealth professionals. We partner with financial advisors nationwide, empowering them to grow, optimize time and resources, and deliver superior outcomes for their clients.
We're looking for exceptional talent to help us achieve our mission of making financial advice better, more affordable, and accessible to all. If you're passionate about challenging the status quo and want to do the most important work of your life, we'd love to meet you!
But first, our values
Kindness - Kindness doesn’t just equal niceness. We listen to understand. We embrace, and encourage healthy debate and diverse perspectives. We approach conflict openly, honestly, and respectfully.
Brilliance - Humility is the skill we’re most proud of and possessing a growth mindset is always top of mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one.
Grit - When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it’s hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles.
The opportunity
We're looking for an AI-native Senior Software Engineer who combines creative thinking with business acumen. You'll design and build scalable data pipelines and data serving platforms while proactively identifying opportunities to create intelligent systems that help financial advisors deliver exceptional client service.
Your impact
- Design and build high performance data pipelines to manage the full lifecycle of financial data.
- Create the foundational frameworks and platforms that establish AI as a core capability within the company
- Advocate for and demonstrate the effective use of AI throughout the software development lifecycle.
- Ensure data integrity and quality across multiple sources
- Optimize query performance and troubleshoot data issues
What you bring
- Experience - 4+ years of software engineering experience
- Proficiency in modern programming languages, with a strong focus on Python or Java
- Experience working with database systems, data warehouses, ETL pipelines, and mature data processes at scale
- Experience with offline data processing and batch pipelines (such as Spark, or similar batch processing frameworks)
- Working knowledge of cloud infrastructure, especially AWS and Kubernetes
- Proficiency in using AI-assisted development tools (e.g., Cursor, Claude Code) as part of the software development workflow.
Prior experience with one or more of the following is preferred
- Data Warehouse such as Snowflake
- Data Orchestration tools such as Airflow
- Data transformation and modeling tools such as dbt
- Education - B.A. / B.S. degree in Computer Science or equivalent experience
- Ownership - The pride you put into every aspect of your work is unparalleled and undeniable
- Superb communication - Intentional dialogue is a superpower. You listen as well as you share your perspective with others.
- Resilience - We’re inspired by your unwavering determination to achieve success, no matter the adversity you face along the way.
- Assurance - Your confidence is brilliant, yet ego-less. You possess a strong knowledge base, the ability to discover the unknown, and are open to differing perspectives.
- Creative problem solving - Identifying the problem is simply not enough. You’re instinctually creative with your approach in finding solutions to roadblocks.
What we bring
Attracting and retaining top-tier talent is a priority. We are proud of the culture we’ve built and are cognizant of the ever-changing professional landscape. Our dynamic offering of perks and benefits are tailored for you to feel your best while doing your best.
- Stunning, amenity-filled office spaces in Culver City, CA, San Francisco, CA, and Dallas, TX. Our offices are intentionally designed for comfort, collaboration, and productivity.
- Competitive total compensation.
- Premium healthcare, dental, and vision insurance plans (HMO and PPO).
- 401k savings plan with a 4% match and immediate vesting.
- 16 week paid parental leave after one year of employment.
- Professional growth and development opportunities including an employee mobility program and an annual L&D budget allocation for each employee.
- Company perks program (includes discounts on pet insurance, fitness, cell phone plans, and travel, etc.).
- Financial guidance program (includes counseling on navigating debt, tracking personal spend, saving and planning goals, home-purchasing preparedness, etc.).
- One month work from anywhere policy (with the exception of a few countries).
Total compensation includes a competitive benefits package, along with a bonus program for eligible roles. For salaried positions, a salary offer will be determined by a number of factors including experience, skill level, internal pay equity, geographic location, and other relevant business considerations. We review all employee pay and compensation programs regularly to ensure fair, equitable, and competitive pay. At Altruist, we are committed to providing fair, equitable, and competitive compensation by leveraging market data to inform our pay bands. Base salaries will be reviewed at regular intervals throughout the year, typically in conjunction with performance review cycles. By evaluating compensation on a regular basis, we are able to reward high performance and ensure all employees have opportunities for growth.
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Altruist we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
