Senior Data Engineer
Vālenz® Health
AzureETLNoSQLPySparkPythonRDBMS
Data Engineer II / Senior Data Engineer
Circle
full-time
Posted on:
Location Type: Remote
Location: Remote • California, Pennsylvania, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $147,500 - $195,000 per year
Job Level
Senior
Tech Stack
AirflowAWSAzureBigQueryCloudGoogle Cloud PlatformJavaPythonScalaSQL
About the role
- Collaborate with fellow data engineers, data analysts and data scientists produce useful data for crypto blockchain analytics to inform product decisions.
- Build and maintain ELT pipelines, parsing complex blockchain data, to source and aggregate the required data for analysis and reporting.
- Design data models and maintain reliable metadata to give context for improved data discoverability.
- Continually improve data warehouse operations, monitoring, and performance.
- Serve as a domain expert in blockchain data modeling, pipelines, quality, and warehousing.
- Leverage AI to increase your work efficiency in code development and transform old processes.
Requirements
- 2+ years of data engineering experience with strong data fundamentals.
- Skilled in SQL for data warehouse platforms such as Snowflake, BigQuery, Databricks, and more.
- Proficient in one or more programming languages (Python, Java, Scala).
- Experience with workflow orchestration (Airflow, Dagster, DBT) and cloud platforms (AWS, GCP, Azure).
- Background in blockchain or financial data is a plus.
- Self-starter with a proven ability to learn, collaborate remotely, and communicate effectively in fast-paced environments.
- For Senior Data Engineer (III), all the requirements of above and:
- 4+ years of data engineering experience with strong data fundamentals.
- Proficient in SQL within data warehouse systems like Snowflake, BigQuery, Databricks, etc.
- Skilled in building scalable infrastructure to support batch, micro-batch or stream processing for large volumes of data.
- Experience in data provenance, governance, and big data technologies (including open-source solutions).
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringSQLPythonJavaScalaELT pipelinesdata modelingdata warehousingworkflow orchestrationbig data technologies
Soft skills
collaborationcommunicationself-starterability to learnremote workadaptabilityproblem-solvingtime managementteamworkfast-paced environment
