Senior Python Data Analysis Jobs in Napa, CA (NOW HIRING)

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BlackRock SMA Solutions is seeking a Python/Data Engineer with at least 3 years of post-university experience to join their growing data platform team. The role involves building and enhancing data pipelines, applications, and tools to support SMA business strategies. Key responsibilities include ensuring data quality and timely delivery, troubleshooting live environments, and writing maintainable code. Desirable qualifications include experience with ETL, cloud environments (AWS, Azure, GCP), Python data analytics frameworks, Snowflake, data warehousing, DAG-based scheduling, and container orchestration. The position is hybrid, based in San Francisco or Sausalito, CA.

About BlackRock SMA Solutions: At BlackRock SMA Solutions, our strategies are designed to put our clients’ and their clients’ interests at the center of our investment advice; to minimize costs and taxes; and to incorporate each client’s unique values-aligned preferences into their investment portfolio. Offering a full suite of tools for our clients, from direct-indexing to active equity and fixed income strategies—with evolution a constant part of our game.
As a business, we are fast-growing and our systems need to grow along with it. We are looking for engineers who like to innovate and seek complex problems. We recognize that strength comes from teams with a variety of perspectives, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates.

We are expanding the team of engineers that owns and operates our extensive data platform underpinning the SMA business. As a member of this team, you will build, enhance, and support a wide variety of data-centric applications and tools to generate or consume data feeds from diverse systems; generate reporting artifacts at scale; and expand the data estate in support of our users. You will work with your team and your stakeholders to ensure data arrives in a complete and timely manner, with validated quality.

• BA/BS in Computer Science or equivalent practical experience
• At least 3+ years of post-university experience as a full-stack engineer
• Solid knowledge of programming fundamentals—algorithms, data structures, design patterns, and paradigms
• Strong knowledge of Python
• Solid knowledge SQL and relational databases
• Ability to troubleshoot problems in a live environment and provide real time help with critical issues
• Write code that is easily understood and maintainable by other team members
• Keep up to date with developments in technologies we are using
• Ability to communicate and work effectively, supporting various business departments
• Ability to work in fast-paced interdisciplinary environment

• Knowledge of Extract-Transform-Load (ETL) and big data analytics tools
• Experience working in a cloud environment (AWS, Azure, GCP)
• Familiarity with popular Python data analytics frameworks
• Familiarity with Snowflake or other large analytics engines
• Experience with data warehousing and working in environments with large scale, complex analytics requirements.
• Familiarity with DAG-based job scheduling tools
• Cloud-native container orchestration platforms and tools
• Experience working in the Financial Services industry

For San Francisco, CA and Sausalito, CA Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our
privacy policy.

We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.