Data engineer

Chicago, Illinois, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & AnalyticsIndustries

Data Engineer

Position Overview

Location Type: Hybrid
Employment Type: Full-Time
Salary: Not specified

We are looking for a Data Engineer to join our small but mighty Data team. This role presents an extremely rare and unique opportunity to influence the architecture and tools that power our data analytics and reporting capabilities. You’ll be at the intersection of engineering, product, and data, leading the integration of our product, financial, and business systems. If you are passionate about data modeling and solving complex data problems, we want to hear from you!

Requirements

Experience

5+ years of hands-on experience in a data engineering role, ideally in a SaaS environment.

Technical Skills

Expert in SQL
Expertise in dbt
Proficiency in Python
Advanced knowledge of data engineering tools, frameworks, and languages (e.g., Airflow, Airbyte, Kafka, GitHub workflows)
Experience working with services in a cloud environment (e.g., AWS or GCP)

Attributes

Deep care about data quality, integrity, and security
Thrive in ambiguity and can create paved roads from dirt paths
Intrinsic motivation: sets the highest possible bar for what is built and shipped
Humility: recognizes the importance of even seemingly trivial tasks
Resilience and open to honest (and kind) feedback
Self-awareness and commitment to learning from successes and failures
Proactive communication skills (both synchronous and asynchronous)
Experience managing and building relationships across multiple departments and stakeholder levels

Responsibilities

Data Workflows: Own, build, and maintain data pipelines, ETL/reverse-ETL processes, and BigQuery environment.
Data Quality: Implement an orchestration tool. Design a suite of tests and validations to ensure data consistency, accuracy, and integrity.
Data Modeling: Develop reliable and lasting data models, while optimizing for scale.
Documentation: Catalog and document all aspects of our data pipelines. Create the foundation for a data governance program.
Collaboration: Partner with product and engineering teams to deliver data solutions that align with downstream use cases.
Data Leadership: Establish data engineering best practices and serve as a subject matter expert on our data architecture, models, and systems.

Application Instructions

Not specified.

Writer

AI platform for business process optimization

About Writer

Writer.com provides a platform that uses artificial intelligence to enhance business processes for various clients, including major companies. The platform integrates Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning (ML) to tailor AI solutions to a client's specific brand and knowledge. LLMs generate human-like text, NLP helps computers understand human language, and ML enables learning from data. Writer's platform is built on secure, enterprise-grade LLMs called Palmyra, which are designed to be open and transparent, ensuring that client data is never used for training. This allows clients to self-host the models, giving them control and visibility over their data. The platform assists businesses in speeding up processes and generating customized outputs, such as summaries and insights, while adhering to legal and brand guidelines. Writer.com operates on a subscription-based model, where clients pay a recurring fee for access to its features.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$317.1MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees