Software & ML Engineer

Job title:

Software & ML Engineer

Location:

Washington DC

Contract:

3-6 months (temporary to permanent)

About the role:

We're hiring a Machine Learning Data Engineer, to join our fast-growing Asset Management client, to help build and scale our data infrastructure. You will be designing pipelines, powering analytics and ML, and ensuring reliable, high‑quality data across the business.

Key responsibilities:

• Build scalable data pipelines across APIs, SaaS, databases, and external sources
• Own a modern data lake/lakehouse powering analytics + ML
• Develop clean, reliable ELT/ETL workflows and ML‑ready datasets
• Create feature pipelines for both experimentation and production
• Ensure data quality, freshness, monitoring, and governance
• Partner with analytics + business teams to deliver trusted, high‑impact data
• Continuously improve performance, cost efficiency, and reliability of the data platform

Experienced required:

• Bachelor's: in Computer Science, Engineering, Data Engineering, or equivalent experience
• 4+ years: in data engineering or similar roles
• Strong experience: with Python and SQL
• Proven experience: building and managing data pipelines
• Experience: with data lakes, warehouses, or lakehouse architectures
• Familiarity: with orchestration tools (Airflow, Prefect, Dagster, etc.)
• Strong grasp: of data modeling, schema design, and data quality practices
• Experience: integrating APIs and third‑party data sources
• Excellent communication skills: and ability to work cross‑functionally
• Ability: to work independently with urgency and accountability
• Familiarity: with cloud platforms (AWS, Azure, or GCP)
• Experience: with streaming or near-real-time data pipelines

If you are interested:

please apply for the role directly. Alternatively please share your cv with me at shan.