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Data Engineer

$150k - $200k

Career Search Partners

Elite investment firm seeks Data Engineer to join their growing team. The data engineer will be a key part of the future development of the company’s data strategy. The data team is highly integrated within the organization and the deliverables have high visibility and engagement with all senior leaders within the organization.

On the research side, their goal is to build a world-class data engine that advances the investment platform, by continuing to build a data-informed industry-leading portfolio construction program. This data engine will be utilized by our investment team to drive the success of the investment decision-making process and we are passionate about delivering best-in-class technology with a scalable and resilient approach. They utilize data to drive idea generation, decision making, and risk mitigation. The data engineer will be instrumental in developing the data flows that are the foundations of these processes.

On the reporting side, the data team drives analysis and data visualization to support key business initiatives and the key drivers of the business. They leverage technology for report automation, ETL, and web-based dashboards. The data engineer will continue the core development of the code repositories, working on automation, data flows, data quality, and data manipulation to both support and advance these efforts.

The data engineer will combine technical proficiency with an understanding or keen interest in markets to take ownership of existing data programs and look to further enhance and evolve our approach. The company is in a growth phase and there will be a significant opportunity for the role to grow through the build-out of additional internal products and programs. They are looking for someone with a high degree of intellectual curiosity who enjoys thinking about and discussing architectural and design approaches, engineering best practices, and risk analysis.

Responsibilities

·Expand our data warehouse, managing existing processes and feeds, and incorporating new data sources.

·Build processes in SQL & Python related to data flows into and out of a SQL server data warehouse (data sources include third-party vendors, APIs, admins, etc).

·Manage internal mapping tables for critical data such as underlier roll-ups, custom tagging, ticker mapping across vendors, etc.

·Ensure data quality by continuing data check development and correcting errors highlighted in daily data check reports.

·Continue core development of business processes and reporting requirements across the organization, including ETL.

·Maintain and expand the ETL and data management repo.

·Handle ad-hoc data requests across the Firm to support internal needs. Respond by providing excel, PDFs, slides or dashboards.

·Handle month and quarter-end reporting for marketing, finance, and data science teams.

·Maintain and enhance web-based dashboards that serve the organization.

·Consultatively engage with stakeholders across the organization to identify business requirements and drive automated workflows to advance outcomes.

Requirements/Qualifications

·3+ years of SQL experience, with the DDL for new tables, indices, views, stored procedures.

·Python experience with the ability to build data flow processes with SQL server or other relational databases.

·Development in a Git environment adhering to best practices around code quality.

·Experience working with market data or exposure to investing and portfolio management. Exposure to security master and data warehouse concepts a plus.

·Ability to work in an agile-type development environment, with strong communication skills for cross-functional requirements gathering and stakeholder management. This individual will need to work across multiple teams simultaneously.

·Proactive with a mind toward efficiency in the process and systems that we build and a keen interest in the effectiveness of the solutions we create.

·Exceptional attention to detail with the ability to produce error-free work and quickly find issues within a dataset.

·Passion for and understanding of equity capital markets.

The minimum and maximum base annual salary for this role is $150,000 to $200,000. Actual base salaries may vary based on factors including but not limited to experience, past performance, education, and other job-related factors. In addition to base salary compensation, we offer a comprehensive benefits package, and successful candidates are eligible to receive an annual discretionary bonus.

Vacancy posted 6 hours ago
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