Data Engineer at MLG Capital

Goerke's Corners, Wisconsin, United States -

Full Time

Start Date

Immediate

Expiry Date

06 May, 26

Salary

0.0

Posted On

05 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Java, R, Documentation, Git, Communication, BI Tools, Power BI

Industry

Investment Management

Description

Description About MLG Capital MLG Capital is a private real estate investment manager focused on delivering long-term, tax-efficient, risk-adjusted returns through diversified real estate strategies across the United States. As the firm continues to scale its data capabilities, the Data Engineering team plays a critical role in enabling faster insights, stronger analytics, and better decision-making across acquisitions, asset management, investor operations, and portfolio management. Role Overview We are hiring a second Data Engineer to expand our Data Engineering capabilities and accelerate delivery across the organization. Within six months, this role is expected to take on approximately 50% of current Data Engineering workload, materially increasing team capacity and enabling faster execution of our roadmap. This position is ideal for an engineer who wants ownership, greenfield build opportunities, and direct visibility into how their pipelines power the business. The role is 80% hands-on data engineering / 20% business analysis, partnering with stakeholders across multiple business lines. Key Responsibilities Design, build, and maintain robust data pipelines that ingest from new and existing sources; continuously optimize for performance, reliability, and scalability. Model and expand schemas in the corporate Data Lake (DL) to support current workloads and future analytics/AI use cases. Centralize and standardize business metrics across datasets, ensuring consistent definitions for downstream BI and analytics. Enhance and refactor existing pipelines to reduce latency, improve fault tolerance, and simplify maintenance. Work in a modern, collaborative dev workflow using Azure, Azure Data Factory (ADF) Create efficiencies that allow the data team to support more business initiatives simultaneously. Translate business requirements into technical specs in partnership with Portfolio Management, Asset Management, Fund Accounting, and other stakeholders; validate source-to-metric logic end-to-end. Own data quality and metric validation across reporting and BI workflows (including Power BI exposure), supporting reliable decision-making. Increase overall DE throughput and team capacity, taking on a substantial share of pipeline ownership to accelerate roadmap delivery. Contribute to a scalable data engineering foundation that enables faster analytics today and internal AI tooling tomorrow. Requirements Must-Have Skills SQL. Programming experience in Python, Java, and/or R. Strong documentation skills, including code documentation and translating business needs into technical requirements. Experience collaborating through Git-based workflows. Strong communication skills with the ability to partner with senior developers, business users, executives and stakeholders. Exposure to BI tools, with Power BI experience preferred. Preferred-to-Have Background in real estate, finance, or investment management. Additional Notes: Physical Requirements: Ability to operate office machinery; including but not limited to: telephone, computer, copy machine, fax machine, printer, and mobile phone. Ability to sit for extended periods (up to 4 hours) and use a computer for up to 8 hours per day. Ability to lift up to 10 pounds on an occasional basis. Working Conditions: Open office workstation environment, quiet to moderate noise levels. SEC Compliance: As MLG has a subsidiary Registered Investment Adviser, many employees are subject to SEC-mandated compliance requirements. As part of these requirements, employees must disclose personal brokerage accounts and financial holdings, for themselves and any household members whose investment activities they influence. This information is collected solely for regulatory compliance and conflict of interest monitoring. All disclosures are handled with strict confidentiality and are accessible only to the Chief Compliance Officer and designated compliance personnel when a business or SEC related need arises All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, sexual orientation, national origin or any other category protected by law. In compliance with the Americans with Disabilities Act, a “reasonable accommodation” will be made for an individual with a known physical or mental limitation unless it would require an action of significant difficult causing undue hardship. This document covers the most significant duties performed but does not exclude other occasional work assignments not mentioned.

Responsibilities

The Data Engineer will design, build, and maintain data pipelines while optimizing for performance and reliability. They will also translate business requirements into technical specifications and ensure data quality across reporting workflows.