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1099 Data Engineer Jobs (NOW HIRING)

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

They are seeking a Senior Data Engineer to own the consumer-data pipeline, responsible for ingesting and unifying behavioral data into a reliable identity graph that supports their AI-driven ...

Data Engineer

Urbandale, IA · On-site

$80K - $120K/yr

Data Engineer As a Data Engineer, you will enable engineers, analysts, and data scientists to more effectively access, explore, and leverage enterprise data to generate insights, build models, and ...

Data Engineer

Lubbock, TX · On-site

$78K - $90K/yr

The Data Engineer II plays an advanced individual contributor role in supporting these efforts by designing, building, and maintaining scalable data systems and developing software and tools that ...

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

They are seeking a Senior Data Engineer to own the technical core of their consumer-data pipeline, responsible for ingesting, cleaning, and unifying behavioral data into a reliable identity graph.

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

Data Engineers in this program support the command through a combination of data governance and data modernization efforts. Data Engineers will be embedded within AFSOC to provide subject matter ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title- Data Engineer Location- New York, NY 10112 Reporting Type- Onsite Duration: 10 months Summary This role involves building and delivering advanced data science and AI/ML solutions in an ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

Data Engineers in this program support the command through a combination of data integration and data modernization efforts. Data Engineers will be embedded within AFSOC to provide subject matter ...

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Data Engineer | Eagan, Minnesota, United States Data Engineer - Tech Lead (GCP, Apache Beam, Airflow) Location: Eagan, MN (Remote Eligible) | Job Type: C2C About the Role Join a dynamic Rebate Data ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar

Data Engineer

Charlotte, NC · On-site

$50 - $64/hr

AWS Data Engineer Location: Charlotte, NC (Onsite Tuesday & Wednesday) Duration: 18-Month Contract Openings: 3 Total (1 must be based in/near Charlotte, NC; 2 open to relocation) Compensation * Up to ...

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Showing results 1-20

1099 Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do 1099 data engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for 1099 data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by 1099 Data Engineers working as independent contractors?

As a 1099 Data Engineer, one of the main challenges is managing multiple client projects simultaneously while maintaining clear communication and meeting deadlines. Independent contractors are also responsible for their own tools, data security, and staying current with evolving technologies without direct employer support. Additionally, building trust with clients and consistently demonstrating value is essential, since contract extensions and new opportunities often depend on proven performance. Networking and self-promotion are key to securing a steady flow of projects.

What is a 1099 Data Engineer?

A 1099 Data Engineer is an independent contractor who designs, builds, and manages data systems for organizations, typically working on a project or freelance basis rather than as a full-time employee. The '1099' refers to the IRS tax form used for reporting income earned by self-employed individuals or contractors in the United States. Unlike traditional employees, 1099 Data Engineers are responsible for their own taxes and benefits, and they often work with multiple clients. Their duties may include data integration, pipeline development, database management, and ensuring data reliability. This role is ideal for those seeking flexible work arrangements and a variety of projects.

What are the key skills and qualifications needed to thrive as a 1099 Data Engineer, and why are they important?

To thrive as a 1099 Data Engineer, you need strong expertise in data modeling, SQL, ETL development, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in these technologies are highly valued. Excellent problem-solving, communication, and time-management skills are crucial for independently managing projects and client relationships. These competencies ensure efficient data solutions, reliable project delivery, and successful collaboration in a contract-based environment.

What is the difference between 1099 Data Engineer vs W-2 Data Engineer?

Aspect1099 Data EngineerW-2 Data Engineer
Employment StatusIndependent contractor, self-employedEmployee of the company
CredentialsTypically required to have relevant skills and certifications, but no employer-provided credentialsSame credentials as 1099, often with additional company-specific training
Work EnvironmentRemote or on-site, project-basedUsually on-site or hybrid, with company benefits
Tax & BenefitsResponsible for own taxes, no benefitsEmployer handles taxes, provides benefits

In summary, a 1099 Data Engineer works independently, managing their own taxes and benefits, while a W-2 Data Engineer is employed directly by a company with standard employee benefits. Both roles require similar skills and certifications, but differ mainly in employment status and associated responsibilities.

More about 1099 Data Engineer jobs
What cities are hiring for 1099 Data Engineer jobs? Cities with the most 1099 Data Engineer job openings:
What states have the most 1099 Data Engineer jobs? States with the most job openings for 1099 Data Engineer jobs include:
Infographic showing various 1099 Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 47% Full Time, 14% Part Time, and 37% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer - AI-Ready Enterprise-Scale Data Platforms

Data Engineer - AI-Ready Enterprise-Scale Data Platforms

ConglomerateIT LLC

Seattle, WA • On-site

$75/hr

Contractor

Re-posted 12 days ago


Job description

Job Title: Data Engineer - AI-Ready Enterprise-Scale Data Platforms
Tax Term: W2/1099 Only
Location: Seattle, WA
Employment Type: Contract
Senior Data Engineer – AI-Ready Data Platforms Conglomerate IT | Client: a leading global IT & digital engineering consultancy Location: Seattle, WA | Contract | W2 | $75/hr

About the role We're hiring a Senior Data Engineer to design and build enterprise-scale data platforms that power AI/ML and agentic systems. You'll engineer the AI-ready data foundations—high-quality, governed, and optimized—that advanced analytics and autonomous AI agents depend on.

What you'll do

  • Architect and build scalable, cloud-native data platforms powering AI/ML and agent-based applications

  • Design pipelines that deliver AI-ready data — curated, labeled, contextualized, and feature-rich

  • Build robust ingestion, transformation, and serving layers across batch and real-time

  • Stand up semantic data models, knowledge graphs, and vector databases to power LLMs and AI agents

  • Implement data quality, lineage, and governance frameworks for trust and compliance

  • Partner with AI/ML teams on feature engineering, model training, and inference pipelines

  • Optimize data architectures for performance, scale, and cost

  • Mentor engineers and set best practices for AI-driven data engineering

What you bring

  • 10+ years in data engineering and platform architecture

  • Deep expertise in a major cloud (Azure / AWS / GCP) and modern data ecosystems

  • Hands-on experience with AI/ML data pipelines, feature stores, and model lifecycle support

  • Experience with LLM data pipelines

  • Strong grounding in data governance, metadata management, and security frameworks

Nice to have

  • Data platforms for AI agents / agentic workflows

  • RAG architectures and semantic search

  • Data mesh / domain-oriented data architectures

  • Large-scale enterprise transformation programs

Founded in 2014, ConglomerateIT is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.