Data Integration Engineer at Literati

Colorado, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Legal TechIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
5+ years of experience in data integration or data engineering, preferably in legal tech or regulated industries
Strong proficiency in SQL, Python, and data modeling
Experience with cloud platforms (Azure, AWS, or GCP) and tools like Databricks, Airflow, or Azure Data Factory
Experience with Snowflake, Rivery, dbt preferred
Experience with Azure Data Factory preferred
Familiarity with legal data systems such as iManage, NetDocuments, Aderant, or Elite 3E
Understanding of Gen AI concepts including LLMs, RAG (Retrieval-Augmented Generation), and vector databases
Reside within reasonable commuting distance to Denver office for on-site presence at least three days per week

Responsibilities

Design and implement data pipelines for ingesting, transforming, and integrating legal data from diverse sources (e.g., case law databases, contract repositories, legal management systems)
Collaborate with AI/ML teams to prepare and optimize datasets for training and deploying Gen AI models
Develop and maintain ETL/ELT workflows using modern data engineering tools and cloud platforms
Ensure data quality, governance, and compliance with legal and ethical standards
Build and integrate with APIs and services to expose integrated data to downstream applications and analytics platforms
Work with legal domain experts to map and model data for semantic understanding and contextual relevance
Monitor and troubleshoot data pipelines to ensure performance, scalability, and reliability

Skills

Key technologies and capabilities for this role

Data IntegrationMicrosoft 365AIWorkflow AutomationPredictive Analytics

Questions & Answers

Common questions about this position

What is the work arrangement for this position?

This is a hybrid role located in the Denver office, requiring on-site presence at least three days per week. Candidates should reside within reasonable commuting distance to support collaboration and work-life balance.

What are the key responsibilities of a Data Integration Engineer?

Key responsibilities include designing data pipelines for legal data integration, collaborating with AI/ML teams on datasets, developing ETL/ELT workflows, ensuring data quality and compliance, building APIs, and working with legal experts on data modeling.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Litera?

Litera fosters a dynamic, collaborative, and innovative environment passionate about legal technology innovation, with a hybrid model to support productivity and work-life balance.

What makes a strong candidate for this Data Integration Engineer role?

Strong candidates have experience in data pipelines, ETL/ELT workflows, cloud platforms, AI/ML data preparation, API integration, and understanding of legal data domains to ensure quality, governance, and compliance.

Literati

Curated book subscription service for all ages

About Literati

Literati offers a subscription service for curated book selections aimed at both adults and children. Each month, subscribers receive a new hardcover book chosen by influential figures, known as Luminaries, from various fields such as business, sports, and the arts. This approach provides readers with enriching and inspiring content. For children, Literati features a 'try before you buy' option, allowing parents to receive a selection of expertly reviewed books to ensure quality and age-appropriateness. The company differentiates itself by combining celebrity involvement with expert curation, appealing to those seeking intellectual and inspirational reading experiences. Literati's goal is to foster a love for reading through high-quality literature while generating revenue through subscription fees and book sales.

Austin, TexasHeadquarters

2017Year Founded

$89.5MTotal Funding

SERIES_BCompany Stage

Education, Consumer GoodsIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Short-term Disability Insurance

Parental Leave

Flexible Work Hours

Unlimited Paid Time Off

Company Equity

Risks

Increased competition from companies like Book of the Month challenges Literati's market share.

Celebrity involvement risks brand reputation if associated figures face controversies.

Integration challenges from Follett Book Fairs acquisition may disrupt Literati's operations.

Differentiation

Literati offers curated book selections with celebrity involvement, enhancing its unique market position.

The 'try before you buy' model for children's books sets Literati apart from competitors.

Literati's platform includes exclusive content and discussions, enriching the reader's experience.

Upsides

Rising interest in personalized content boosts demand for Literati's curated book services.

AI-driven personalization can enhance Literati's book selection process, improving customer satisfaction.

Celebrity and influencer marketing trends align with Literati's Luminary-curated adult book offerings.

Land your dream remote job 3x faster with AI

Try Jobo Free