32 applicants

Company

Coinbase · 8 hours ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

$175K/yr - $206K/yr

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BitcoinBlockchain

Comp. & Benefits

H1B Sponsor Likely

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Responsibilities

Enforce best practices: Introduce automation mechanisms to enforce data best practices and optimal design principles.

Data transformation tooling: Enhance our data transformation layer by adding new features and migrating data pipelines from legacy tools.

Data quality tooling: Build systems to automate monitoring, alerting and fixing data anomalies.

Productivity tooling: Build internal tools aimed at streamlining workflows, minimizing manual interventions and driving operational efficiencies.

Cross-Functional collaboration: Work alongside fellow data engineers and cross-functional partners from Data Science, Data Platform, Machine Learning, and various analytics teams to ensure alignment on priorities and deliverables.

Reliable data pipelines: Develop new data pipelines and ETL processes, while enhancing the efficiency of existing ones to reduce costs, improve landing times, and ensure reliability. This may involve indexing, partitioning, and tuning the underlying data models.

Semantic layer integration: Build the semantic layer to ensure it effectively translates complex data models from the data marts into business terms. This includes defining dimensions, measures, hierarchies, and business logic.

Self-serve analytics: Contribute to the self-serve analytics chatbot and its infrastructure by adding features, fixing bugs and promoting its use across the company.

Knowledge base: Maintain clear and comprehensive documentation of processes to facilitate smooth team collaboration and hand-offs.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonSQLETL/ELT ProcessesApache AirflowGitHubData VisualizationData ModelingFundamental DevOps PracticesDockerKubernetesAWSGCPPrompt Engineering for LLMs

Required

Must be adept at scripting in Python, particularly for data manipulation and integration tasks, with strong experience in Object-Oriented Programming (OOP).

Must have a solid grasp of advanced SQL techniques for querying, transformation, and performance optimization.

Experience in designing, building, and optimizing ETL/ELT data pipelines to process large datasets. Experience with both batch and streaming is a plus.

Experience in building, deploying, and optimizing DAGs in Airflow or a similar pipeline orchestration tool.

Experience with version control, branching, and collaboration on GitHub is a must-have.

Experience with tools like Superset, Looker, or Python visualization libraries (Matplotlib, Seaborn, Plotly…etc)

Understanding of best practices for data modeling, including star schemas, snowflake schemas, and data normalization techniques.

Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Strong documentation skills for pipeline design and data flow diagrams.

Knowledge of unit testing, CI/CD, and repository management.

Familiarity with Docker, Kubernetes, and cloud platforms such as AWS or GCP.

Preferred

Expertise in crafting, testing, and refining prompts for effective communication with LLMs, like GPT, to generate accurate and contextually relevant responses is a plus.

Benefits

Target bonus

Target equity

Benefits (including medical, dental, vision and 401(k))

Company

Coinbase

Glassdoor

3.7

Coinbase is a cryptocurrency exchange and cryptocurrency wallet platform that allows users to buy, sell, and store various cryptocurrencies.

Founded in 2012

San Francisco, California, USA

1,001-5,000 employees

http://www.coinbase.com

H1B Sponsorship

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2020 (75)