Job Title: Data Engineer

Company Name: Calypso Way

Job Url: https://www.simplyhired.com/job/wQbZbY9XEgThJI81ZjZTQsXvurdCHxJsSmn6BSMzEQ949DocWjjASg

Job Description: Data Engineer with strong Python backend development expertise Plano, TX
Calypso Way
Remote

Job Details
Full-time | Contract
$40 - $60 an hour
Qualifications
Authentication
Data model design
Version control
Data Integration (Data management)
Azure
Continuous Delivery (CD) implementation
Cloud data warehouses
Data modeling projects
Spark
Git
Scalable systems
3 years
Snowflake
Automating deployment processes
Microservices
SQL
Data quality management
Data Architecture Design (Architecture design skills)
Analysis skills
Spark implementation
Docker
AWS Glue
Improving database performance
Implementing APIs
Django
Scalability
Developing and maintaining backend systems
S3
Kafka
Redshift
Flask
Senior level
Cross-functional collaboration
BigQuery
Debugging
Cross-functional communication
AWS Lambda
Full Job Description
Data Engineer with strong Python backend development expertise

Plano, TX (Remote– 5 days/week)

Job Summary:

We are seeking a highly skilled Data Engineer with strong Python backend development expertise to join our team in Plano, TX. The ideal candidate will have hands-on experience designing and building scalable data pipelines, integrating with APIs and databases, and developing robust backend systems. This role requires close collaboration with data scientists, analysts, and application developers to deliver high-performance data-driven solutions.

Key Responsibilities:

Design, build, and maintain scalable data pipelines and ETL/ELT processes for large-scale data integration.
Develop and optimize Python-based backend services, APIs, and microservices for data processing and delivery.
Work with data ingestion frameworks to extract data from multiple structured and unstructured sources.
Implement data transformation and cleansing logic to ensure data quality, accuracy, and consistency.
Collaborate with cross-functional teams to define data architecture, schemas, and performance improvements.
Deploy, monitor, and maintain backend and data processing applications in cloud environments (AWS/Azure/GCP).
Optimize queries and pipelines for performance, reliability, and scalability.
Implement CI/CD automation, testing, and documentation for data and backend workflows.
Integrate security, logging, and error-handling best practices into all backend components.
Required Skills & Experience:

5+ years of experience in Python development with solid knowledge of backend frameworks such as FastAPI, Flask, or Django.
3–5 years of experience as a Data Engineer, building and maintaining production-grade ETL pipelines.
Strong proficiency in SQL and data modeling (Relational & NoSQL).
Experience with Cloud platforms (AWS, Azure, or GCP) and data services (S3, Lambda, Redshift, BigQuery, Snowflake, etc.).
Solid understanding of data processing frameworks (e.g., Spark, Airflow, Kafka, Glue).
Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
Strong experience with API design, authentication, and integration.
Knowledge of Git, CI/CD pipelines, and DevOps practices.
Excellent debugging, optimization, and analytical skills
Job Types: Full-time, Contract

Pay: $40.00 - $60.00 per hour

Expected hours: 40 per week

Work Location: Remote