Data Migration Specialist

🕒 January 27

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of EvenUp

EvenUp

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

Legal • Artificial Intelligence • SaaS

EvenUp is a company that specializes in providing AI-driven solutions for personal injury law firms to enhance the efficiency and effectiveness of case handling and settlements. The company's Claims Intelligence Platform™ supports law firms by generating AI demand letters designed to capture every detail and maximize case value. Their suite of products, including MedChrons, Executive Analytics, Case Preparation, Negotiation Preparation, and Settlement Repository, leverages AI and data analytics to streamline legal processes, improve negotiation outcomes, and increase the likelihood of hitting policy limits. EvenUp is SOC2 and HIPAA certified, ensuring high standards of security and privacy for sensitive legal and medical data. The company aims to level the legal playing field by providing personal injury firms with tools that utilize proprietary data and expert insights to navigate complex cases with precision and speed.

📋 Description

• Partner with Solution Architects during post-sale discovery to assess customer source systems (e.g., CRM, Accounting, Processes, spreadsheets) and data readiness. • Analyze legacy data structures, field mappings, data quality, and dependencies to identify risks, gaps, and remediation strategies. • Define migration scope, sequencing, assumptions, and success criteria in collaboration with implementation leadership. • Advise customers on data cleanup, normalization, and preparation activities prior to migration. • Design detailed source-to-target data mappings aligned with EvenUp’s data models, workflows, and reporting requirements. • Collaborate with the migration team to ensure migrations support future-state processes, automations, and analytics. • Define transformation rules, validation logic, and exception handling for complex legal data sets. • Build, execute, and manage data migrations using ETL tools, scripts, APIs, or database utilities. • Perform trial migrations, incremental loads, and final cutover migrations in accordance with project timelines. • Ensure data security, confidentiality, and compliance throughout the migration process.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field. • Relevant certifications (e.g., data engineering, database, cloud, or ETL tools) preferred. • 5–8 years of experience in data migration, data engineering, or technical implementation roles within enterprise SaaS environments. • Proven experience migrating large, complex datasets from legacy systems into modern cloud platforms. • Hands-on experience with ETL processes, APIs, SQL, and data transformation techniques. • Experience working in regulated industries (legal, financial services, healthcare) strongly preferred. • Bonus: Experience migrating data for legal case management systems or legal operations platforms. • Strong proficiency in SQL and relational data modeling. • Experience with ETL tools, scripting languages (e.g., Python), and API-based data transfers. • Understanding of data governance, security, and compliance best practices. • Experience supporting UAT and go-live activities in complex implementations.

🏖️ Benefits

• Choice of medical, dental, and vision insurance plans for you and your family • Additional insurance coverage options for life, accident, or critical illness • Flexible paid time off, sick leave, short-term and long-term disability • 10 US observed holidays, and Canadian statutory holidays by province • A home office stipend • 401(k) for US-based employees and RRSP for Canada-based employees • Paid parental leave • A local in-person meet-up program • Hubs in San Francisco and Toronto

Apply Now

Similar Jobs

🕒 January 21

Veltris

501 - 1000

🤖 Artificial Intelligence

🤝 B2B

Senior Data Engineer leading design and implementation of data pipelines for telecom operations. Building data models and analytics solutions using SQL, Hevo, and Tableau for insights.

AWS

Cloud

SQL

Tableau

🕒 January 20

Palantir

1 - 10

⚡ Energy

☁️ SaaS

🏢 Enterprise

Palantir Foundry Architect responsible for platform ownership and architecture at a non-profit. Leading enterprise analytics transformation in healthcare and community-focused sectors.

ERP

🕒 January 16

ezCater

501 - 1000

🤝 B2B

🛍️ eCommerce

Senior Data Engineer at ezCater driving data initiatives to accelerate business growth. Collaborating across teams to solve complex data challenges in a leading food for work technology company.

🇺🇸 United States – Remote

💵 $158k - $190k / year

💰 $100M Series D on 2021-12

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Airflow

Amazon Redshift

AWS

Azure

BigQuery

Cloud

Docker

ETL

Google Cloud Platform

Kubernetes

Python

SDLC

SQL

🕒 January 15

Quanata

201 - 500

🤖 Artificial Intelligence

☁️ SaaS

Senior Data Engineer delivering data science services and streaming data pipelines. Creating data pipelines for risk evaluation and enabling model training at Quanata.

Airflow

AWS

Cloud

Kafka

Python

SQL

Terraform

🕒 January 15

Eton Technologies

51 - 200

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

Data Engineering Consultant leading and delivering modern data platforms for global clients. Requires strong expertise in Snowflake, Databricks, and cloud platforms (AWS, Azure, or GCP).

Amazon Redshift

AWS

Azure

Cloud

ETL

Google Cloud Platform

Numpy

Pandas

Python

SQL

Tableau