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Link Logistics · 3 months ago

Senior Data Engineer, Research & Analytics

New York, New York

Full-time

Onsite

Senior Level

$175K/yr - $250K/yr

5+ years exp

Link Logistics Real Estate is a leading operator of warehouses and business parks, specializing in last-mile logistics real estate. They are seeking a Senior Data Engineer to own and modernize their research and analytics pipelines, working closely with data scientists and researchers to deliver robust data workflows and ensure stakeholders have timely, accurate data for decision making.

Commercial Real EstateLogisticsSupply Chain ManagementWarehousing

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Develop, maintain, and document data ingestion, transformation, and ML model pipelines. Diagnose existing code and processes, separating intentional design from accidental or legacy artifacts

Identify and remediate technical debt. Propose and implement improvements in reliability, performance, and maintainability

Automate model retraining, scoring, and delivery. Develop basic CI/CD and monitoring for analytics workflows

Serve as the main technical liaison with enterprise tech. Translate business requirements into concrete technical specs. Advocate for research/data needs in cross-team discussions

Scope and specify data and engineering requirements for new analytics and research projects. Drive clarity on priorities, timelines, and 'definitions of done.' Proactively identify ambiguities and communicate risks or blockers

Set expectations and maintain clear documentation

Mentor team members on engineering best practices, and, as appropriate, participate in code review and informal training

Hold both yourself and the team accountable for missed deadlines, shifting requirements, and delivery standards

Qualification

Data EngineeringMLOps principlesAzure DatabricksSQLPythonDbtSnowflakeCommunication skillsCross-functional collaborationTechnical leadership

Required

5+ years of hands-on data engineering, analytics engineering, or ML engineering experience (preferably in investment, research, or analytics-driven organizations)

Demonstrated experience modernizing legacy or 'ad hoc' analytics codebases

Strong grasp of MLOps principles: reproducibility, version control, workflow orchestration, basic CI/CD, and monitoring

Understanding of data quality, testing, and governance best practices

Excellent communication skills: ability to translate business requirements into technical specs, and vice versa

Proven ability to work cross-functionally and push back constructively when needed

Strong experience with Azure Databricks and Spark (PySpark)

Advanced SQL and Python skills for large-scale data transformation and automation

Experience with dbt for transformation and modeling

Familiarity with Snowflake and integrating data for downstream tools like Power BI

Preferred

Experience building internal data tools or dashboards with Streamlit

Benefits

Health insurance coverage

Retirement savings plan

Paid holidays

Paid time off

Company

Link Logistics

Link Logistics is a leading operator of last-mile industrial real estate and warehouse properties.

Founded in 2019

New York, New York, USA

1001-5000 employees

https://www.linklogistics.com/

H1B Sponsorship

Link Logistics has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2022 (1)