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1099 Data Engineer Jobs in Missouri (NOW HIRING)

Build-A-Bear Workshop

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

The Data Engineer helps design, build, and maintain pipelines and platforms that power our data-driven decisions across the enterprise. This role will work across cloud platforms, digital systems ...

Kanak Elite Services Inc

$109K - $130K/yr

Data Engineer The candidate must be committed to move to St. Louis and live here 100% from day 1. Work location Onsite Work onsite at either location * St. Louis, MO * Mt. Sterling, IL Open to a ...

iQuasar LLC

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Position: Data Engineer * Location: St. Louis, MO ( Onsite Mon-Fri) - Travel expenses will be paid * Clearance: Secret Role Overview: The Data Engineer plays a crucial role in the application ...

IQUASAR LLC

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Position: Data Engineer * Location: St. Louis, MO ( Onsite Mon-Fri) - Travel expenses will be paid * Clearance: Secret Role Overview: The Data Engineer plays a crucial role in the application ...

Jobgether

$88K - $106K/yr

Our partner is looking for a Data Engineer based in Netherlands. This is a hands-on data integration role focused on building and supporting reliable enterprise data pipelines and integration ...

CarShield

Data Engineer

Saint Peters, MO

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Description We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of handling data at scale. These are some of the duties you will be expected to perform. * Design new ...

CarShield

Data Engineer

Saint Peters, MO · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of handling data at scale. These are some of the duties you will be expected to perform. * Design new databases ...

CarShield

Data Engineer

Saint Peters, MO · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of handling data at scale. These are some of the duties you will be expected to perform. * Design new databases ...

Lindenwood University

Data Engineer

Saint Charles, MO · On-site

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Engineer Division: Information Technology Evaluation Group: Staff FLSA Status: Exempt Reports To: Director, Information Technology Enterprise Systems and Application Development Positions ...

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 ...

The Timberline Group

Data Engineer Manager

Saint Louis, MO · On-site +1

$111K - $133K/yr

The Cloud Data Engineering team within Data Engineering will oversee the analysis, development, implementation, and performance of our new cloud-based data solutions. This work is reflective of a ...

V-Soft Consulting Group, Inc

Data Engineer III

Saint Louis, MO · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Jobgether

$88K - $106K/yr

Our partner is looking for a Data Engineer, Sr. based in Netherlands. Join a high-impact engineering team focused on modernizing large-scale data infrastructure and supporting critical database ...

Bespoke Labs

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Columbia, MO · On-site

$109K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Jefferson City, MO · On-site

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Independence, MO · On-site

$104K - $125K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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1099 Data Engineer information

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?

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.

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

Data Engineer

Build-A-Bear Retail Management, Inc.

Saint Louis, MO

$110K - $133K/yr

Full-time

Posted 29 days ago

Job description

The Data Engineer helps design, build, and maintain pipelines and platforms that power our data-driven decisions across the enterprise. This role will work across cloud platforms, digital systems, and analytics tools to ensure our data is reliable, scalable, and ready for everything from business reporting to advanced AI applications.

At Build-A-Bear, our data fuels creativity, efficiency, and innovation, connecting millions of guests to memorable experiences. The Data Engineer will help build the foundation that powers these experiences.

Responsibilities:

  • Design, build, and maintain scalable data pipelines and integrations across multiple enterprise systems.
  • Develop and maintain data models, ETL/ELT workflows, and orchestration logic within cloud data environments.
  • Collaborate to define data requirements and ensure alignment between business needs and technical solutions.
  • Implement data quality validation, monitoring, and governance processes.
  • Optimize performance and efficiency of existing data processes, enabling faster insights and reduced latency.
  • Partner with IT Security and Privacy teams to enforce data access controls and compliance standards.
  • Support development of reusable frameworks for data ingestion, transformation, and storage.
  • Document technical designs, data dictionaries, and workflows for transparency and maintainability.
  • Stay current on data engineering best practices, tools, and emerging trends in analytics, AI, and automation.

Required Qualifications:

  • 5+ years of experience in data engineering, data warehousing, or analytics platform development
  • Bachelor’s degree in computer science, information systems, data engineering, or related field
  • Skilled in SQL and familiarity with Python, Spark, or other scripting languages for data manipulation
  • Expert with cloud-based data ecosystems, ideally Microsoft Azure (Data Factory, Synapse, Databricks, or Data Lake)
  • Skilled understanding of ETL/ELT design patterns, data modeling, and schema optimization
  • Proficient knowledge of API integrations and real-time data streaming
  • Basic knowledge of BI tools such as Power PI, Tableau, or Looker
  • Excellent communication and critical thinking skills, with the ability to translate technical concepts for business partners

Preferred Qualifications:

  • Experience with Microsoft Dynamics 365, Salesforce, or similar enterprise data sources
  • Understanding of data governance, lineage, and master data management frameworks
  • Exposure to DevOps principles, CI/CD pipelines, and version control
  • Familiarity with Agile or Scrum methodologies
  • Microsoft Certified: Azure Data Engineer Associate or similar certification

Behavioral Traits for Success:

  • Enjoys being recognized for the quality of their work
  • Willingness to work within established standards, guidelines, and procedures
  • Develops strong job knowledge and competency
  • Strong commitment to tasks being completed correctly and on time
  • Thrives in a structured environment
  • Happy accomplishing work as an individual
  • Can work harmoniously with others
  • Communication is factual, polite, and professional

Working Environment:

  • Typical office environment with climate control and sufficient lighting, ergonomic desk/chairs
  • Hybrid work schedule

Your Performance Will Be Measured On:

Your performance will be measured by your ability to achieve annual department objectives and corporate goals which include but are not limited to the following.

  • Decision-making, judgment, and execution
  • System reliability
  • Data throughput and performance metrics
  • Reduction of data defects
  • Accuracy and efficiency
  • Compliance adherence
  • Data integrity
  • Audit readiness
  • Stakeholder Feedback

Apply