Futuremindz llc: Data Engineer (Part-Time, Remote)

CloudDevs; Town of Texas (WI); Remote; USD 80,000 - 120,000; Part time

Job summary

A leading tech company is seeking a senior Data Engineer for a part-time remote role. The ideal candidate should have 10-12 years of experience in data engineering, strong skills in Python and SQL, and familiarity with AWS Glue and other cloud data platforms. This position offers flexible hours and the chance to work with cloud-based data architecture. H-1B candidates are welcome to apply.

Qualifications

• 10-12 years of experience in data engineering or related roles.
• Strong hands-on skills in building and maintaining data pipelines.
• Familiarity with cloud data platforms.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines.
• Build and optimize data lakes and data warehouses.
• Collaborate with data scientists and product teams.

Skills

Python

SQL

ETL frameworks

AWS Glue

Redshift

GCP BigQuery

Azure Synapse

Kafka

Spark Streaming

Job description

###### LocationAnywhere, Latams**Headquarters:** TexasJob Title: Data Engineer (Part-Time, Remote) Experience: 10-12 years Work Type: Part-Time (Remote) Employment Type: W2 only (No OPT / CPT) Note: H-1B candidates are Also welcome to apply About the Role We’re looking for a senior Data Engineer with strong hands-on skills in building, optimizing, and maintaining data pipelines and platforms. This is a part-time remote role suited for experienced professionals who prefer flexible hours. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines and data workflows. • Build and optimize data lakes, warehouses, and streaming pipelines. • Work closely with data scientists, analysts, and product teams to ensure reliable data access. • Maintain data quality, lineage, and governance standards. • Monitor and improve pipeline performance and scalability. • Collaborate on cloud-based data architecture and best practices. Required Skills • 10-12 years of experience in data engineering or related roles. • Strong coding skills in Python, SQL, and at least one ETL framework (Airflow, dbt, etc.). • Hands-on experience with cloud data platforms (AWS Glue, Redshift, GCP BigQuery, Azure Synapse, etc.). • Solid understanding of data warehousing, partitioning, schema design, and optimization. • Familiarity with streaming technologies like Kafka or Spark Streaming. • Strong problem-solving, debugging, and communication skills. Please reach out to Sudheer Kumar.V Email: Phone: +1