Lead Data Engineer

JPMorgan Chase & Co.•Boston, MA

About The Position

Working at 55ip, a separately branded subsidiary of J.P. Morgan, means standing at the intersection of finance and technology—and at the cutting-edge of wealth and asset management. We’ve been making rapid progress on our mission: to break down barriers to financial progress for financial advisors and their clients. Our Boston-, New York-, and Mumbai-based teams have built and brought to market a tax-smart investment strategy engine, portfolio trading and rebalancing, and advisor transition services, all delivered through an intuitive experience and intelligent automation. Driven by strategic partnerships with world-class wealth and asset management firms, we’ve experienced breakthrough growth over the last two years. Today, over 400 financial advisor firms have trusted over $100 billion in assets under supervision with 55ip. As 55ip continues its rapid growth trajectory, we are on the path to managing over $1 trillion in assets under supervision (AUS) by 2030. This scale brings significant challenges and opportunities, including supporting exponential increases in accounts, net flows, revenue, and pre-tax income. Our technology platform must evolve to handle this growth, ensuring robust performance, reliability, and automation for tax-smart investing portfolios across diverse product mixes and client segments. Lead Data Engineer 55ip’s Quantitative Research & Development team is looking for a lead data engineer to take part in building its research data platform. The ideal candidate has a background in implementing effective large-scale data solutions in a cloud-based environment. The candidate will be motivated, a problem solver, a team player, and an effective engineer, looking to make a significant impact.

Requirements

Bachelor's degree in information systems, information technology, computer science, or similar.
Expertise in Structured Query Language (SQL); experience with PostgreSQL specifically is a plus
Expertise in Python, Pandas/Polars, and Numpy
Clear understanding of OOP and software design constructs within a Python context
Expertise with AWS Cloud services/technologies, such as RDS, S3, Lambda, Secrets Manager
Expertise in all aspects of software development lifecycle, especially Agile Scrum
Strong Experience implementing and monitoring ETL processes
Strong Experience with database technologies, architecture, performance tuning, and scaling
Strong Experience in database design and modeling
Experience with Airflow or similar orchestration tools
Experience working with and CI/CD tools for application and database development
Excellent communication (written and oral) and presentation skills
Ability to work with quant researchers & developers to understand requirements
Strong attention to detail, pride in delivering high quality work and willingness to learn
Agility: Able to shift gears and react quickly to timely requests

Nice To Haves

Experience working with Data Lakes (Iceberg/DeltaTable)
Experience working with DuckDB, Spark, and EMR
Experience supporting development of AI/ML models
Exposure to financial capital markets data and trading applications, working with investment data
AWS certifications are a plus
Experience with project workflow tools such as Jira in an Agile-Scrum environment
Knowledge of Linux

Responsibilities

Build high-performance cloud-based data solutions to support quantitative research capabilities: back testing, simulations, machine learning, and other advanced analytics & algorithms
Implement, schedule, and oversee ETL, ELT, and monitoring processes
Oversee the loading of data from vendor and internal data sources
Implement and support automation solutions to improve platform scalability
Monitor the system performance by performing regular tests, troubleshooting, and integrating new features
Provide L2 support for data systems to stakeholder teams
Collaborate with technical teams to design and implement data solutions
Recommend solutions to improve new and existing data systems

Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

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