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Contract Data Pipeline Engineer Jobs (NOW HIRING)

Senior Pipeline Engineer

Houston, TX · On-site

$90 - $120/hr

Senior Pipeline Engineer Your work environment at EXP In this role, you will be a part of the ... Will provide direction to junior/intermediate engineers to complete data analysis, drawing and ...

We are seeking an exceptional Gas Pipeline Engineer to design, develop, and maintain high ... For details on data processing, view our Recruitment Privacy Notice.

Pipeline Engineering experience in: part 192 utility work Synergi modeling regulator station design ... Develops models and analyzes data to support improvement programs, techniques and solutions.

We are seeking an exceptional Gas Pipeline Engineer to design, develop, and maintain high ... Direct experience supporting natural gas turbine power plants or data center/ hyperscale backup ...

Be our next Senior Pipeline Engineer! Your work environment at EXP In this role, you will be a part ... Will provide direction to junior/intermediate engineers to complete data analysis, drawing and ...

We are seeking an exceptional Gas Pipeline Engineer to design, develop, and maintain high ... For details on data processing, view our Recruitment Privacy Notice.

Showing results 41-60

Contract Data Pipeline Engineer information

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$44.5K

$129.7K

$177.5K

How much do contract data pipeline engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for contract data pipeline 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 the key skills and qualifications needed to thrive as a contract data pipeline engineer, and why are they important?

To thrive as a Contract Data Pipeline Engineer, you need strong expertise in data engineering, ETL processes, and proficiency with programming languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with tools such as Apache Spark, Kafka, Airflow, and cloud platforms like AWS or GCP, as well as experience with SQL and big data technologies, is typically required. Excellent problem-solving skills, adaptability, and clear communication are vital soft skills for collaborating with diverse teams and responding to evolving project requirements. These skills and qualities are crucial for building reliable, scalable data pipelines that deliver accurate insights to drive business decisions.

What is the difference between Contract Data Pipeline Engineer vs Data Engineer?

AspectContract Data Pipeline EngineerData Engineer
CredentialsTypically requires a degree in computer science or related field, with experience in data pipeline toolsSimilar credentials, often with advanced certifications in data management or cloud platforms
Work EnvironmentContract roles, often project-based, working with teams on specific data pipeline tasksFull-time or contract, working within data teams on broader data infrastructure
Industry UsageUsed across industries for short-term data pipeline projectsCommon in tech, finance, healthcare, and other data-driven sectors
Search & Comparison IntentOften compared for project-based roles or freelance opportunitiesViewed for long-term data infrastructure roles

While both roles involve managing data pipelines, Contract Data Pipeline Engineers typically work on short-term, project-specific tasks, whereas Data Engineers focus on building and maintaining comprehensive data infrastructure for organizations. The choice depends on whether you seek contract work or a permanent data engineering position.

What is a contract data pipeline engineer?

Contract Data Pipeline Engineers are professionals hired on a temporary or project basis to design, build, and maintain systems that move and process large volumes of data. They develop data pipelines that extract data from various sources, transform it into usable formats, and load it into storage systems or databases. Their work ensures data is efficiently collected, processed, and made accessible for analysis or business operations. Contract roles typically require strong skills in programming, data architecture, and cloud technologies, and may focus on specific projects or timeframes rather than permanent employment.

What are some common challenges faced by contract data pipeline engineers when working with new clients or projects?

As a Contract Data Pipeline Engineer, one of the most common challenges is quickly understanding and adapting to the client's existing data infrastructure and business requirements. Each client may use different tools, data sources, and workflows, so it’s important to rapidly assess and integrate new technologies. Additionally, contract roles often have tight deadlines, requiring efficient communication with data engineers, analysts, and stakeholders to ensure deliverables meet expectations. Balancing the need for robust, scalable solutions with the constraints of a limited contract period is also a frequent consideration.
More about Contract Data Pipeline Engineer jobs

What cities are hiring for Contract Data Pipeline Engineer jobs?

Cities with the most Contract Data Pipeline Engineer job openings:

What are the most commonly searched types of Data Pipeline Engineer jobs?

The most popular types of Data Pipeline Engineer jobs are:

What states have the most Contract Data Pipeline Engineer jobs?

States with the most job openings for Contract Data Pipeline Engineer jobs include:

What job categories do people searching Contract Data Pipeline Engineer jobs look for?

The top searched job categories for Contract Data Pipeline Engineer jobs are:

Infographic showing various Contract Data Pipeline Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

SENIOR DATA ENGINEER with Security Clearance

Kforce Federal Solutions

Washington, DC • On-site

$129K - $155K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Data Pipeline Engineer (Palantir / Python / PySpark)
Location: Washington, DC (Onsite)
Clearance: TS/SCI Apply Now!
or Contact Recruiter: Brenton Anderson
Email:
LinkedIn: https://www.linkedin.com/in/myitrecruiterbrenton/ We are seeking a Data Pipeline Engineer to design, build, and maintain scalable data pipelines in support of mission-critical environments. This role focuses on working within the Palantir ecosystem to integrate, transform, and operationalize complex datasets while ensuring reliability, performance, and data integrity.
This is a highly technical, hands-on position ideal for engineers with experience in distributed data processing, backend systems, and troubleshooting complex data workflows. Key Responsibilities Design, develop, and maintain scalable data pipelines supporting structured and unstructured data
Build and optimize ETL/ELT workflows within Palantir Foundry or similar data platforms
Develop data processing solutions using Python, PySpark, Spark, and/or Polars
Debug and troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks
Build and integrate APIs and backend services to support data ingestion and transformation
Analyze and trace network traffic and data flows to support system-level troubleshooting
Reverse engineer backend processes and data services to resolve complex technical issues
Implement monitoring, logging, and data pipeline reliability improvements
Collaborate with cross-functional teams to enhance data workflows and platform usability
Ensure data quality, governance, and consistency across data systems Required Qualifications Active TS/SCI clearance
Strong proficiency in Python development
Hands-on experience with PySpark, Apache Spark, and/or Polars for distributed data processing
Experience building and maintaining data pipelines and ETL/ELT workflows [Submittal:...- Palantir | Outlook]
Experience working with Palantir Foundry or similar data platforms [Submittal:...- Palantir | Outlook]
Experience developing and debugging APIs, endpoints, and backend services
Ability to trace and analyze network traffic and system interactions
Experience troubleshooting complex, production-level data issues
Strong understanding of data structures, data modeling, and pipeline architecture
Experience with Git/version control and CI/CD practices Preferred Qualifications Experience working in high-reliability or production-critical environments
Knowledge of distributed systems and large-scale data processing frameworks
Experience with streaming pipelines (Kafka, Spark Streaming, etc.)
Familiarity with cloud platforms (AWS or similar)
Experience with data visualization or analytics tools
Background in software engineering or backend systems development Education Bachelor’s degree in Computer Science, Engineering, or related field
Equivalent hands-on experience may be considered Why This Role Work directly with cutting-edge data platforms and large-scale pipelines
Solve complex, real-world data engineering challenges
Highly technical environment with strong engineering ownership
Stable, long-term onsite work in the DC market The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.