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Contract Data Engineering Jobs in Nebraska (NOW HIRING)

Pae

Data Scientist - Expert

Omaha, NE

This position is contingent upon award of contract, business needs, and funding availability. The ... Advanced proficiency in major data science programming languages including Python, R, and SQL

Amentum

Data Scientist - Expert

Omaha, NE · On-site

This position is contingent upon award of contract, business needs, and funding availability. The ... Advanced proficiency in major data science programming languages including Python, R, and SQL

The Reserves Network Inc

Senior Data Architect

Omaha, NE · On-site

$45 - $67/hr

Omaha, NE * 1-Year Contract with the possibility of extension or hire-on * Weekly Pay with direct ... Provide technical leadership and guidance to development teams on data architecture and engineering ...

Agile Defense

ML Engineer

Omaha, NE · On-site

We are currently looking for an ML Engineer to support our contract with the DRAID CDAO ADA IR ... You will implement data engineering activities and develop and deploy pipelines and platforms that ...

Agile Defense

ML Engineer

Omaha, NE · On-site

We are currently looking for an ML Engineer to support our contract with the DRAID CDAO ADA IR ... You will implement data engineering activities and develop and deploy pipelines and platforms that ...

Peraton

Data Scientist (SME)

Offutt Air Force Base, NE · On-site

$135K - $216K/yr

Experience with programming languages such as Python , R , or SQL . * Familiarity with data ... and contract considerations. Depending on the position, employees may be eligible for overtime ...

Peraton

Data Scientist (SME)

Offutt Air Force Base, NE · On-site

$135K - $216K/yr

Experience with programming languages such as Python , R , or SQL . * Familiarity with data ... and contract considerations. Depending on the position, employees may be eligible for overtime ...

Peraton

Data Scientist (SME)

Offutt Air Force Base, NE

$135K - $216K/yr

Experience with programming languages such as Python , R , or SQL . * Familiarity with data ... and contract considerations. Depending on the position, employees may be eligible for overtime ...

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Contract Data Engineering information

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

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What are the most commonly searched types of Data Engineering jobs in Nebraska? The most popular types of Data Engineering jobs in Nebraska are:
What are popular job titles related to Contract Data Engineering jobs in Nebraska? For Contract Data Engineering jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Nebraska look for? The top searched job categories for Contract Data Engineering jobs in Nebraska are:
What cities in Nebraska are hiring for Contract Data Engineering jobs? Cities in Nebraska with the most Contract Data Engineering job openings:
Contract Data Engineering jobs near you
Data Platform & Engineering Specialist

Data Platform & Engineering Specialist

Molex

Lincoln, NE • On-site

Full-time

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

Molex rating

6.8

Company rating: 6.8 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

107th of 137 rated electronics manufacturers

Job description

Job Summary:
Molex is seeking a motivated and highly skilled Data Platform & Engineering Specialist to join our Lincoln Digital OpEx Team. This role combines data engineering expertise with platform reliability and cloud architecture skills, enabling you to own the end-to-end data lifecycle—from ingestion and transformation to infrastructure scalability and security within the plant, as part of our Transportation Innovative Solutions division (TIS).
Responsibilities:
• Design and implement ETL/ELT pipelines for batch and streaming data
• Optimize complex SQL queries and data models for performance and scalability
• Ensure data quality and governance through schema validation and data contracts
• Architect and maintain cloud-based data platforms (AWS/Azure)
• Implement systems for reproducible environments
• Manage networking while working with the Global IT team (VLANs)
• Build and operate event-driven pipelines using tools like Kafka/Kinesis/Event Hubs
• Monitor and tune streaming systems for throughput, latency, and reliability
• Set up logging, metrics, and alerting for data services
• Implement CI/CD for data pipelines and platform components
• Develop data storage and retention strategies along with recovery and backup
• Partner with application teams, network/security engineers, and analysts
• Document architecture, runbooks, and operational playbooks
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, and/ or 3+ years of experience in data engineering and platform/infrastructure roles
• SQL experience (complex queries, performance tuning, data modeling)
• Experience with Python for data workflows; familiarity with Java/Scala for streaming
• Hands-on experience with cloud platforms (AWS/Azure/GCP) and networking fundamentals
• Expertise in streaming technologies (Kafka, Kinesis, Event Hubs) and orchestration
• Familiarity with observability tools (Prometheus/Grafana, CloudWatch, Azure Monitor)
Preferred:
• Experience with Spark, Databricks, or dbt.
• Containerization and orchestration (Docker, Kubernetes)
• Certifications: AWS/Azure Data Engineering, Networking, or Kafka Confluent
Company:
Molex supplies electronic interconnect solutions and connectivity products for a broad range of industries. It is a sub-organization of Koch, Inc.. Founded in 1938, the company is headquartered in Lisle, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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