1

1099 Data Engineer Jobs in Silver Spring, MD (NOW HIRING)

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and ...

Senior Data Engineer

Herndon, VA ยท Hybrid

$150K - $175K/yr

The Data Engineer will be responsible for designing, building, and optimizing robust data pipelines ... We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this ...

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and ...

Junior Data Engineer

Chantilly, VA ยท On-site

$90 - $130/hr

Dark Wolf is seeking a Junior / Entry-Level Data Engineer to support the development, maintenance ... We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this ...

Data Engineer

Washington, DC ยท On-site

$78 - $176/hr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers ...

Junior Data Engineer

Herndon, VA ยท On-site

$90 - $130/hr

Dark Wolf is seeking a Junior / Entry-Level Data Engineer to support the development, maintenance ... We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this ...

Data Engineer

Fort George G Meade, MD ยท On-site

$77.60 - $176/hr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data professional like you to help our clients find ...

New

Role: Data Engineer. Location: McLean VA -hybrid Duration : Contract Tech stack: Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Engineer

Mclean, VA ยท On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One Employee / Contractor About the Role: We are seeking an experienced Data Engineer to join our team ...

Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

Data Engineer General Information Requisition #710 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Engineer

Mclean, VA ยท On-site

$80 - $100/hr

R0229283 Data Engineer The Opportunity Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

New

Data Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure that provide ...

Data Engineer

Falls Church, VA ยท Hybrid

$81K - $105K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Governance, Python Software Development, SQL Query Development, Unstructured Data Certifications: None Experience: 2 + years of ...

Data Engineer

Arlington, VA ยท On-site

$100K - $155K/yr

The Data Engineer will work closely with software engineers, the Chief Engineer, product teams, analysts, and the AI/ML Engineer to build reliable data pipelines, data models, integrations, and ...

New

Showing results 21-40

1099 Data Engineer information

See Silver Spring, MD salary details

$46K

$134.1K

$183.5K

How much do 1099 data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for 1099 data engineer in Silver Spring, MD is $134,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,100.00 per year, depending on experience, location, and employer.

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 Silver Spring, MD?

For 1099 Data Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching 1099 Data Engineer jobs in Silver Spring, MD look for?

The top searched job categories for 1099 Data Engineer jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for 1099 Data Engineer jobs?

Cities near Silver Spring, MD with the most 1099 Data Engineer job openings:

$117K - $141K/yr

Full-time

Posted 24 days ago


Job description

Who we are.
Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products - we want to hear from you.
We lead with technical expertise, but that is just the tip of the iceberg - the 'Why' matters. At Platinum, we don't hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.
This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.
You.
Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and optimization of enterprise data engineering solutions supporting Object-Based Intelligence (OBI) mission requirements, ontology-driven data integration, and advanced analytics.
The Data Engineering Subject Matter Expert serves as the senior technical authority for developing and implementing scalable data architectures, pipelines, and integration frameworks that enable the ingestion, transformation, management, and delivery of structured, semi-structured, and unstructured data. This position applies data engineering best practices to support enterprise ontologies, knowledge graphs, Semantic Web technologies, and AI/ML applications while ensuring data quality, governance, interoperability, and security across diverse mission systems. Working closely with ontology engineers, software engineers, database engineers, data scientists, and Government stakeholders, the Data Engineering SME develops modern data solutions that support mission analytics, knowledge discovery, and decision advantage.
What you get to do.
  • Lead the design, development, and implementation of enterprise data engineering solutions supporting Object-Based Intelligence mission requirements.
  • Design and optimize scalable data pipelines for ingesting, transforming, validating, and integrating data from multiple internal and external sources.
  • Develop data integration frameworks that support enterprise ontologies, knowledge graphs, and Semantic Web technologies, including RDF, OWL, and SPARQL.
  • Collaborate with ontology engineers, software engineers, database engineers, analysts, and Government stakeholders to translate mission requirements into scalable data engineering solutions.
  • Design and implement data architectures supporting cloud-native, distributed, and hybrid computing environments.
  • Establish data quality, metadata management, lineage, and governance processes to ensure consistency, traceability, and interoperability across enterprise data assets.
  • Optimize data processing performance using modern distributed processing frameworks and scalable storage technologies.
  • Support AI/ML initiatives by developing reliable, high-quality data pipelines that provide curated datasets and semantic context for model training, inference, and decision support.
  • Develop automated monitoring, validation, and testing capabilities to ensure data accuracy, completeness, and operational reliability.
  • Produce and maintain technical documentation, data flow diagrams, interface specifications, data dictionaries, and engineering standards.
  • Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding data engineering best practices, modern data architectures, and enterprise integration strategies.

Required Skills.
  • Must be a U.S. citizen and have an active TS/SCI with CI polygraph.
  • Minimum twelve (12) years of experience and an advanced degree or 17 years of experience with a bachelor's degree.
  • Demonstrated experience designing and implementing enterprise-scale data engineering solutions and data integration architectures.
  • Experience developing ETL/ELT pipelines using modern data engineering tools and frameworks.
  • Experience integrating structured, semi-structured, and unstructured data from heterogeneous enterprise data sources.
  • Experience with relational databases, NoSQL databases, graph databases, and distributed data processing platforms.
  • Knowledge of data modeling, metadata management, data governance, and enterprise data architecture principles.
  • Familiarity with Semantic Web technologies, knowledge graphs, or ontology-based data integration.
  • Experience supporting cloud-based or containerized data platforms, including Kubernetes and OpenShift.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.