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1099 Data Engineer Jobs in Missouri (NOW HIRING)

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Job Title: Biotech Data Engineer Job Type: FTE Work Mode: Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and ...

V-Soft Consulting Group, Inc

Data Engineer III

Saint Louis, MO · On-site

$108K - $130K/yr

Data Engineer III (Hybrid) Primary Location: St. Louis, Missouri V-Soft Consulting is currently hiring for a Data Engineer III for our premier client in St. Louis, Missouri . Education and Experience ...

Navtech, Inc.

Sr Data Engineer

Lake Saint Louis, MO · On-site

$108K - $130K/yr

Senior Data Engineer Position Purpose: This position will provide the IT Shared Services with a platform for real-time stream processing by performing application and production support to help ...

Jobgether

$88K - $106K/yr

Our partner is looking for an Azure Data Engineer based in Netherlands. This role offers the opportunity to strengthen cybersecurity operations by engineering reliable, scalable security data ...

PayIt

Data Engineer

Kansas City, MO

$100K - $125K/yr

In this position, you will work closely with other Data Engineers on your team and members of the broader Engineering organization to ensure that the business has access to high-quality, accurate ...

Focus Financial Partners

BI & Data Engineer

Saint Louis, MO · Hybrid

$111K - $133K/yr

Position Summary The BI & Data Applications Engineer is an experienced BI and data engineering professional responsible for building and maintaining Focus's data consumption layer - the reports ...

Focus Financial Partners

BI & Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Position Summary The BI & Data Applications Engineer is an experienced BI and data engineering professional responsible for building and maintaining Focus's data consumption layer - the reports ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$113K - $136K/yr

As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust ...

Children's Mercy KC

Data Engineer - ICS

Kansas City, MO · On-site

$41.57/hr

Overview The Data Engineer is responsible for building and maintaining reliable data pipelines that support Children's Mercy Integrated Care Solutions analytics and operational needs. This role ...

Pwc

Data Engineer - Senior Manager

Kansas City, MO

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Manager

Saint Louis, MO · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Deloitte

Data Engineer II

Kansas City, MO · On-site

$111K - $134K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

Deloitte

Data Engineer II

Saint Louis, MO · On-site

$111K - $133K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

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All Jobs1099 Data Engineer Jobs1099 Data Engineer Jobs in Missouri

1099 Data Engineer information

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?

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 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 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.

What are popular job titles related to 1099 Data Engineer jobs in Missouri?

For 1099 Data Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching 1099 Data Engineer jobs in Missouri look for?

The top searched job categories for 1099 Data Engineer jobs in Missouri are:

1099 Data Engineer jobs near you

BioTech Data Engineer

Stellar IT Group

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Re-posted yesterday

Job description

Overview:
Job Title: Biotech Data Engineer
Job Type: FTE
Work Mode: Remote
The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across commercial functions. It involves leading data engineering initiatives, ensuring governance and compliance, optimizing performance and costs, and collaborating across teams to advance the company's data and AI strategy. The role reports to the Director of Business Intelligence.
Roles & Responsibilities
  • Design, build, and maintain scalable, reliable, and cost-efficient data pipelines using Azure Databricks in support of analytics, machine learning, data science, and operational use cases
  • Lead data engineering initiatives that enable AI/ML model development, LLM integrations, and AI-driven applications while ensuring scalability and alignment with enterprise and business priorities
  • Architect and implement data integration frameworks across diverse Adtech and Martech ecosystems, incorporating Google Analytics, media campaign data, and third-party marketing APIs like Salesforce
  • Manage and optimize data ingestion, transformation, and storage processes using SQL, Python, and PySpark to integrate structured and unstructured data sources
  • Design and maintain API integrations with internal and external systems, including Python- and PySpark-based services and AI/LLM-powered APIs for advanced analytics and automation
  • Administer and maintain Azure-based data tools and platforms (e.g., Databricks, ADF) to ensure operational excellence, reliability, and security
  • Collaborate with internal stakeholders and external partners to evolve data platform design and architecture that supports advanced analytics, personalization, marketing intelligence, and marketing automation
  • Execute against the company's data and AI strategy by translating strategic goals into technical architecture, design and requirement documents, and implementation roadmaps
  • Ensure data quality, integrity, and consistency through robust validation, monitoring, and alerting mechanisms within Azure Databricks
  • Implement and enforce data governance, security, and compliance standards in collaboration with IT, InfoSec, and data governance teams
  • Partner with analytics, marketing, commercial operations, and core technology/cybersecurity teams to deliver fit-for-purpose commercial data products
  • Monitor and optimize data infrastructure costs, performance, and scalability across Azure cloud environments
  • Develop and maintain architecture documentation, pipeline specifications, and design diagrams for transparency and knowledge sharing with technical and business stakeholders
  • Participate in architecture discussions, design reviews, and CI/CD workflows to ensure high-quality engineering and deployment practices as part of an Agile engineering team
  • Continuously evaluate and recommend new Azure services, designs, improvements, frameworks, and AI integration tools to enhance our data platform
  • Drive automation, observability, and standardization across data workflows to improve efficiency and reduce manual intervention
  • Complete all job duties in compliance with company policy, SOPs, safety rules, and applicable federal, state, and local regulations

Education & Licenses And Experience
Bachelor of science degree required. A minimum of 5 years transferable working experience in the area of operational support of a Data Engineering, Data Architecture, or Cloud Platforms function preferred. The ideal candidate will have recent and relevant experience in the pharma or biotech industry.
Required Competencies & Skills
  • Experience with Azure Cloud (Databricks, DevOps, DataFactory)
  • Pharma / biotech domain experience, specifically within the commercial data space (sales, market access / payer, marketing)
  • Strong hands-on python, pyspark, and SQL skills
  • Direct experience with building and leveraging API integrations in ETL pipeline development
  • Experience integrating with current best-in-class AI models and APIs like OpenAI API, Databricks AI models, etc.
  • Self-driven with ability to independently design end-to-end data pipelines while ensuring architectural best practices
  • Ability to collaborate with a broad set of stakeholders to evaluate the business need and construct a technical design that can enable stakeholder priorities
  • Travel up to 20%

Preferred Competencies & Skills
  • Strong knowledge of and experience with maximizing business value using Databricks Unity Catalog or Databricks One capabilities
  • Familiarity with tools and practices in the Martech and Adtech landscape
  • Knowledge of Consumer, Patient, or HCP data ecosystems
  • Experience with identity providers like LiveRamp, Acxiom, Experian, etc.
  • Experience with custom-built or third-party Customer Data Platforms (CDP)
  • Experience with marketing automation tools

Skills:
Data Engineering

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