Data Engineer
BloomerangSalary not specified
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
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.
Company Information
- Not specified.
Skills
SQL
dbt
Python
Airflow
Airbyte
Kafka
GitHub workflows
AWS
GCP
Data quality
Data security
Data modeling
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