Remote Data Engineer — End-to-End Pipelines & Analytics

Jobsforhumanity; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Sign up bonus

Job summary

Jobsforhumanity is seeking a data engineer to design, build, and scale batch and streaming data pipelines across distributed frameworks. You will model data, optimize queries, and collaborate with analytics, data science, product, and infra teams to deliver robust platforms.

The role emphasizes reliability, security, compliance, and autonomous, remote-first work. Strong Python/Scala, SQL, and cloud skills on AWS/GCP are required, with hands-on experience in Airflow, Kafka, Spark/Flink, and

Qualifications

• Familiarity with cryptocurrency, Web3/blockchain data structures or Coinbase ecosystem.
• Advanced proficiency in Python or Scala with strong SQL optimization and DB design.
• Deep hands-on experience with cloud infrastructure (AWS/GCP), orchestration (Airflow/Prefect), data lakes, and stream processing (Kafka, Spark Streaming, Flink).
• Strong software engineering fundamentals: Git, CI/CD, testing, code reviews, and infrastructure as code.
• Ability to work autonomously in a remote-first environment.

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines using distributed frameworks (e.g., Spark, Flink, Kafka, Airflow).
• Architect robust data models and storage strategies for analytical queries in data warehouses/lakes (e.g., Snowflake, BigQuery, AWS S3/Redshift).
• Monitor pipeline health, implement automated testing and data validation, optimize throughput, latency, and query performance.
• Ensure data practices comply with security and regulatory requirements for financial infrastructure.
• Collaborate with Analytics, Data Science, Product, and Infra to translate telemetry into reliable data platforms.

Skills

Python

Scala

SQL optimization

Database design

Remote work autonomy

Tools

Airflow

Prefect

Kafka

Spark Streaming

Flink

AWS

GCP

Git

CI/CD

IaC

Job description

Jobsforhumanity is seeking a data engineer to design, build, and scale batch and streaming data pipelines across distributed frameworks. You will model data, optimize queries, and collaborate with analytics, data science, product, and infra teams to deliver robust platforms.

The role emphasizes reliability, security, compliance, and autonomous, remote-first work. Strong Python/Scala, SQL, and cloud skills on AWS/GCP are required, with hands-on experience in Airflow, Kafka, Spark/Flink, and