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Part Time Remote Macos Engineer Jobs (NOW HIRING)

Service Engineer Location: Newark, DE Employment Type: Contract (7 months with possible extension ... After training, position is 100% remote with part-time hours. Willing to travel up to 20% About the ...

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Part Time Remote Macos Engineer information

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$59.5K

$111.6K

$203K

How much do part time remote macos engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for part time remote macos engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Remote Macos Engineer jobs? The most popular types of Remote Macos Engineer jobs are:
Futuremindz llc: Data Engineer (Part-Time, Remote)

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

CloudDevs

Wausau, WI • Remote

$122.70K - $147.40K/yr

Part-time

Posted 3 days ago


Job description

LocationAnywhere, LatamsHeadquarters: 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 #J-18808-Ljbffr