ZipRecruiter

Log In

3

Part Time Work From Home Etl Developer Jobs (NOW HIRING)

Cars and Bids LLC

Senior Data Engineer - Contractor

$80 - $120/hr

We're the fastest-growing online auction platform for enthusiast vehicles from every era, paired ... reverse ETL - as our sole dedicated data practitioner, on a part-time retainer basis. The ...

previous pagenext page

Showing results 21-40

All JobsEtl Developer JobsPart Time Work From Home Etl Developer Jobs

Part Time Work From Home Etl Developer information

See salary details

$31

$57

$81

How much do part time work from home etl developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for part time work from home etl developer in the United States is $57.38, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $64.18 per hour, depending on experience, location, and employer.

What are some common challenges faced by part time work from home ETL developers, and how can they be addressed?

Part-time, remote ETL Developers often encounter challenges such as coordinating with team members across different time zones, managing asynchronous communication, and balancing workloads due to limited hours. To address these, it's important to establish clear communication channels (like Slack or Teams), set regular check-ins or updates, and prioritize tasks effectively. Leveraging project management tools and maintaining thorough documentation can also help ensure smooth collaboration and project continuity.

What are the key skills and qualifications needed to thrive as a part time work from home ETL developer?

To thrive as a Part Time Work From Home ETL Developer, you need strong SQL skills, data warehousing knowledge, and experience with ETL processes, typically backed by a degree in computer science or related field. Familiarity with ETL tools such as Informatica, Talend, or Microsoft SSIS, as well as cloud platforms like AWS or Azure, is commonly required. Excellent problem-solving, time management, and communication skills help you collaborate remotely and deliver results independently. These capabilities ensure data is accurately integrated and transformed to support business intelligence and decision-making in a remote work environment.

What is a part time work from home ETL developer?

A Part Time Work From Home ETL Developer is a technology professional who designs, develops, and manages processes for extracting, transforming, and loading (ETL) data, all while working remotely and typically on a reduced schedule. They are responsible for integrating data from various sources, ensuring data quality, and supporting data warehousing solutions. Working part-time allows flexibility in hours, making this role suitable for those seeking work-life balance or supplemental income. These developers use tools like Informatica, Talend, or SQL Server Integration Services (SSIS) to automate data workflows and support business intelligence initiatives.

What is the difference between Part Time Work From Home ETL Developer vs Part Time Work From Home Data Analyst?

AspectPart Time Work From Home ETL DeveloperPart Time Work From Home Data Analyst
Required SkillsETL tools, SQL, data warehousingData analysis, Excel, SQL, visualization tools
Work EnvironmentRemote, project-basedRemote, reporting-focused
Industry UsageData integration, database managementBusiness insights, reporting
CertificationsETL tools certifications, SQLData analysis certifications, SQL

While both roles are remote and involve SQL, ETL Developers focus on data extraction, transformation, and loading processes, whereas Data Analysts primarily analyze data and create reports. The choice depends on whether you prefer building data pipelines or interpreting data for insights.

What cities are hiring for Part Time Work From Home Etl Developer jobs?

Cities with the most Part Time Work From Home Etl Developer job openings:

Part Time Work From Home Etl Developer jobs near you
Infographic showing various Part Time Work From Home Etl Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $119,346 per year, or $57.4 per hour.

Senior Data Engineer - Contractor

Cars and Bids LLC

Remote

$80 - $120/hr

Part-time

Re-posted 3 days ago

Job description

Senior Data Engineer - Fractional / Contract (Retainer)
Cars & Bids is where automotive enthusiasts find, engage with, and sell great cars. We're the fastest-growing online auction platform for enthusiast vehicles from every era, paired with a scaled media business across YouTube, the #1 automotive podcast (THIS Car Pod!), social, and events that reach over 50 million enthusiasts each month. Since launching in 2020, we've hosted over 34K auctions and sold more than $740 million in vehicles.
We are looking for an experienced data engineer to support our entire data stack - from ingestion through warehousing, transformation, modeling, and reverse ETL - as our sole dedicated data practitioner, on a part-time retainer basis.
The engagement
  • Structure: Independent contractor (1099/B2B) on a monthly retainer. You invoice us monthly; you are responsible for your own taxes, equipment, and benefits. This is not a W-2 or employee role, and it does not include company benefits or equity.
  • Commitment: Approximately 20 hours per week, retained monthly. We care about outcomes and the running health of the data stack, not hours logged or tickets closed.
  • Rate: $80-$120 per hour, depending on experience.
  • Autonomy: You set your own schedule and choose your own tools and methods. We'll align on priorities and outcomes; how and when you deliver is yours to run. You're free to maintain other clients.
  • Location: Remote. 5 hour overlap with PT working hours for collaboration.
  • Term: Ongoing retainer with a clear, mutual off-ramp. We expect a long-term relationship, but either side can adjust or wind down with reasonable notice.

What you'll support
  • The full data lifecycle: ingestion (Hevo/OpenFlow), warehousing (Snowflake), transformation (tasks and dynamic tables), light modeling and batch inference, and reverse ETL into our operational tools.
  • Turn business questions into trustworthy data products that downstream users - both humans and AI - can rely on without second-guessing.
  • Build and maintain the bespoke and SaaS-based syncs that move modeled data from Snowflake into the tools where the business operates (HubSpot CRM, Iterable/Braze, support tools, and others as we grow).
  • Keep our feature pipelines fresh, our models trained, and our inference flowing to where it creates business value.
  • Navigate ambiguity and make two-way-door decisions quickly using data.
  • Make pragmatic build-vs-buy calls and resist tool sprawl. Complexity is a choice, and we choose less of it.
  • Maintain Snowflake cost discipline - warehouse sizing, query performance, and refresh cadences are your responsibility.
  • Strategically take on good tech-debt and pay it down when business-justified.
  • Investigate data quality issues and remediate them at the root.
  • Join our team syncs when necessary to align on priorities, surface ideas, and propose solutions.

Qualifications
Required:
  • Snowflake practitioner - you have strong opinions about warehouse design, query optimization, dynamic tables, tasks, and cost management.
  • Experience owning data ingestion in production (OpenFlow, NiFi, Fivetran, Airbyte, or equivalent flow-based or managed ingestion tools).
  • Comfort with the full analytics engineering workflow: modeling, testing, documentation, and exposing trustworthy datasets to downstream consumers.
  • Experience building and maintaining reverse ETL syncs, both bespoke (API integrations, stored procedures) and via SaaS tools (Hightouch, Census, native CDP integrations).
  • Working knowledge of MLOps fundamentals: keeping training pipelines running, feature tables fresh, and batch inference flowing reliably. You don't need to be an ML researcher, but you need to be the person who keeps models in production healthy.
  • Proficiency in SQL and Python.
  • Proven experience as the only data person on a team, or clear evidence you'd thrive without a peer in your domain.
  • Detail-oriented with excellent analytical and communication skills, including the ability to explain data tradeoffs to non-technical stakeholders.
  • Full professional proficiency in English.
  • Bachelor's degree in Computer Science, a related quantitative field, or equivalent experience.

Nice-to-have:
  • Experience with Snowpark, Cortex, or similar in-warehouse ML capabilities.
  • Experience supporting AI-driven analytics workflows (business users querying data via LLMs) and the modeling discipline that makes those workflows reliable.
  • Experience in marketplace, e-commerce, or auction businesses.

Compensation
This is a fractional, contract engagement compensated at $80-$120 per hour, retained monthly at roughly 20 hours per week, depending on experience. As an independent contractor, you are responsible for your own taxes, equipment, insurance, and benefits; this engagement does not include employee benefits or equity.

Apply