
Senior Data Engineer
Clera · Remote
- Internet & E-commerce
- 11–50 employees
- San Francisco
Mixed hiring record · median 4 days open
All reasons
- This role has been posted 5 times
- 34% of this employer's openings are over 60 days old
In its favour
- Posted today
- Still listed on the employer's own board
- Publishes a salary range
About the Role
Join the data products team at a fintech company building commercial banking technology. You will create reusable data and machine learning products that help teams across the business discover, trust, and use data.
What You'll Do
- Design, build, and own reliable, scalable, well-documented data products, pipelines, and datasets for other teams to use.
- Apply software engineering practices such as testing, version control, and CI/CD to production data and machine learning systems.
- Build reusable machine learning products, including document processing, transaction coding suggestions, and retrieval-augmented or agentic tools.
- Establish data quality checks, monitoring, alerts, and service-level expectations for data products.
- Partner with data consumers to understand their needs, gather feedback, and improve products over time.
- Work with analytics and business intelligence teams to make data easier to find, understand, and use independently.
- Improve the data platform and expand the suite of products available to other teams.
What We're Looking For
- At least 5 years of experience in data engineering, software engineering, or DevOps.
- Advanced Python and Go skills, or Java experience, along with strong SQL.
- Experience with a workflow orchestrator such as Airflow, Dagster, or Prefect, and a data platform such as Snowflake, Databricks, BigQuery, or HDFS-based systems.
- Experience building data infrastructure on GCP, AWS, or a similar cloud platform, including services on Kubernetes and infrastructure managed with Terraform or Pulumi.
- A track record of building reusable data products for other teams. Experience developing a data platform or product suite from the ground up is beneficial.
- Production machine learning or RAG and agentic system experience, including vector databases, is beneficial.
- Knowledge of data modeling approaches or streaming systems is beneficial.
Compensation & Benefits
Salary range
€70,000 to €95,000 annually. Equity and visa sponsorship details were not provided.
Location
Remote within Europe.
Skills
- Machine Learning
- Python
- Go
- Java
- SQL
- Airflow
- Dagster
- Prefect
- Snowflake
- Databricks
- BigQuery
- HDFS
- GCP
- AWS
- Kubernetes
- Terraform
- Pulumi
- Retrieval-Augmented Generation
- Vector Databases
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