Data Migration Specialist
Leads client data conversion projects, transforming historical portfolio data from legacy systems into Addepar while improving migration workflows. Requires at least two years of technology, finance, or consulting experience, Python proficiency, and knowledge of financial products and securities modeling.
About the job
Responsibilities
- Translate unique client requirements into flexible and scalable data solutions.
- Lead data conversion projects with clients to ETL historical portfolio data from legacy systems into Addepar.
- Prioritize and context-switch effectively to complete simultaneous projects through to completion.
- Identify and drive opportunities to improve processes and tools, streamlining, scaling, and automating workflows.
- Set, lead, and communicate expectations effectively with internal and external stakeholders.
- Communicate with clients in a proactive, consultative, and professional manner.
- Collaborate with Services, Sales, Product, and Engineering teams.
Requirements
- Minimum 2+ years of experience working in technology, finance, or consulting.
- Proficiency in Python.
- Experience with financial products and securities modeling.
- Solution-oriented mentality and passion for problem-solving.
- Excellent communication, organizational, and time-management skills.
- Strong work ethic; proactive and a highly contributing teammate.
- Highly organized, detail-oriented, and driven to improve process efficiency.
- Independent, adaptable, and able to thrive in a fast-paced environment.
Skills
Python, ETL, Data Migration, Data Conversion, Financial Products, Securities Modeling, Process Automation
Similar jobs
Data Engineering jobs
Cloudflare
Atlanta, GABuild and scale distributed data platforms, database systems, delivery services, and APIs, with emphasis on reliability, performance, observability, and data integrity. Requires 3+ years of software development experience with distributed systems and databases; Golang experience is preferred.
ElevenLabs
United KingdomBuild the data infrastructure, processing pipelines, curation strategies, and tooling that power frontier AI model training. The role requires strong distributed-data engineering experience and the ability to measure how data quality affects model outcomes.
ElevenLabs
United KingdomBuild and operate distributed web-crawling systems that source, extract, evaluate, and prepare large-scale web data for frontier AI models. The role requires hands-on crawler or scraping experience and strong distributed-systems engineering skills.
Vanta
Remote
Own the systems that ingest, standardize, validate, and operationalize data signals for Vanta’s EPD organization. The role suits a hands-on builder who has recently shipped working tools or pipelines, uses AI-assisted development, and helps teammates grow technically.
Alpaca
Remote
Build and operate scalable lakehouse infrastructure, streaming and CDC pipelines, query systems, and self-serve BI capabilities. Requires 5+ years of data engineering experience, strong Kubernetes and infrastructure-as-code expertise, and hands-on experience with distributed data platforms.