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Contract Data Engineering Jobs in Dallas, TX (NOW HIRING)

Compunnel

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

... contracts and identity resolution. Support privacy and compliance requirements across all data ... Required Qualifications 3+ years of experience in a data engineering role required. Strong SQL and ...

NAAS Technologies LLC

Data Engineer / Dallas,TX

Dallas, TX · On-site

$113K - $136K/yr

Dallas,TX Duration : Long term contract Required Qualifications * 5+ years in data engineering, analytics, business intelligence, or data architecture roles. * Strong experience in Microsoft Azure ...

Staffingine LLC

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Contract * This list is intended to reflect the current job but there may be additional essential ... engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data ...

Valueprosite

Data Engineer / Java Developer

Dallas, TX · On-site

$50.75 - $65.50/hr

Contract **Manager Reference:** Required **Preferred Client Experience:** Ex-Fidelity or Ex-CVS candidates preferred We are looking for experienced **Data Engineers and Java Developers** with 8-9 ...

Upbound

Data Engineer IV

Plano, TX

$107K - $128K/yr

KEY RESPONSIBILITIES Platform Architecture & Engineering * Design and implement scalable cloud ... Establish API governance, schema standards, contract testing, and integration best practices.

ISOFT

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Duration : 7-Month Contract * Current Project : This is a migration project focused on placing ... The ideal candidate will have a strong Data Engineering background with extensive experience ...

Hermitage Infotech

Senior Data Engineer

Dallas, TX · On-site +1

$104K - $142K/yr

Dallas, TX or Mountain View, CA Duration: Long Term Contract As part of the Mail Analytics Data Engineering team, you will be working on large-scale batch pipelines, data serving, data lakehouse, and ...

Alpha Consulting Corp.

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... contract. The ideal candidate will have experience in the banking sector and possess a strong technical background in data engineering, cloud storage, and data processing technologies.

BC Forward

Senior Data Engineer / Data Architect

Plano, TX · On-site

$77.58 - $82.58/hr

Contract - 8 months Pay Range: $77.58 - $82.58 Job ID: 371932 About BCforward BCforward is a ... Exposure to test automation and performance engineering. Why BCforward? At BCforward, we believe in ...

Upbound

Data Engineer IV

Plano, TX · On-site

$109K - $131K/yr

KEY RESPONSIBILITIES Platform Architecture & Engineering * Design and implement scalable cloud ... Establish API governance, schema standards, contract testing, and integration best practices.

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Showing results 21-40

All JobsContract Data Engineering JobsContract Data Engineering Jobs in Dallas, TX

Contract Data Engineering information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do contract data engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for contract data engineering in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

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 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 are the key skills and qualifications needed to thrive as a contract data engineer?

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 are the most commonly searched types of Data Engineering jobs in Dallas, TX? The most popular types of Data Engineering jobs in Dallas, TX are:
What are popular job titles related to Contract Data Engineering jobs in Dallas, TX? For Contract Data Engineering jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Dallas, TX look for? The top searched job categories for Contract Data Engineering jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Contract Data Engineering jobs? Cities near Dallas, TX with the most Contract Data Engineering job openings:
Contract Data Engineering jobs near you
Infographic showing various Contract Data Engineering job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Sr. Manager Data Engineering

Charles Schwab Inc.

Southlake, TX • On-site

$170K - $180K/yr

Full-time

Posted 28 days ago

Job description

Your Opportunity
Do you want to be part of an enterprise data solutions organization managing over 4+ petabytes of data and powering the next-generation analytics and operational data platforms for a leading financial firm with over $10 trillion in assets under management?
At Schwab, the Operational Data Exchange (ODX) organization owns the strategy, architecture, implementation, delivery, and support of enterprise operational data platforms. These platforms are mission-critical to the Contact Center's ongoing modernization, supporting large-scale application transformations (e.g., movement from Genesys to NICE), increased adoption of AI-driven capabilities, and customer experience optimization.
We are seeking a Sr. Manager in a Technical Delivery Lead capacity to provide hands-on technical leadership across the Contact Center Data Exchange portfolio. This is a critical position and is responsible for ensuring that Contact Center data platform modernization keeps pace with application transformation and AI initiatives. The ideal candidate brings recent hands-on engineering experience, strong architectural judgment, and the ability to communicate complex technical topics clearly to senior leadership.
What you'll do:
  • Own end-to-end technical delivery for Contact Center operational data platforms, ensuring reliability, scalability, and alignment with evolving business priorities.
  • Provide technical leadership for the modernization of Contact Center data architecture, supporting application migrations, AI-driven capabilities, and real-time operational data use cases.
  • Lead the Oracle DB migration from on-prem to GCP, driving cloud-native design, resilience, performance optimization, and cost efficiency.
  • Design and oversee scalable batch and streaming data pipelines using Java, Spring, Kafka-based technologies, and GCP native services (Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud SQL, Cloud Storage).
  • Establish and enforce engineering best practices for coding standards, CI/CD, data quality, reliability, security, and observability.
  • Maintain hands-on involvement in solution design and complex problem-solving while providing technical direction to engineers across onshore and offshore teams.
  • Partner closely with Contact Center business leaders, platform teams, and upstream application owners to define data contracts, integration patterns, and delivery roadmaps.
  • Act as a technical liaison to senior leadership, clearly communicating risks, tradeoffs, modernization progress, and platform health.
  • Proactively identify and mitigate technical debt, delivery risks, and scalability constraints that could impact AI enablement or customer experience outcomes.
  • Support production operations by driving root-cause analysis, improving platform stability, and reducing incident recurrence through architectural improvements.
  • Lead, coach, and develop engineering managers and senior engineers, fostering a culture of accountability, inclusion, and continuous improvement.
  • Own talent strategy for the Contact Center Data Exchange domain, including hiring, onboarding, performance management, career development, and succession planning.
  • Set clear expectations and goals for teams, aligning individual development plans with organizational outcomes and delivery commitments.
  • Build sustainable delivery capacity by strengthening leadership bench, improving execution predictability, and promoting strong team ownership across the portfolio.

What you have
Required Qualifications
  • 15+ years of recent, hands-on data engineering experience, with a strong focus on real-time data ingestions, APIs, and distributed systems.
  • 5+ years of technical leadership experience, owning delivery for complex, business-critical platforms.
  • 5+ years of people leadership experience, leading multiple cross-functional engineering teams.
  • Demonstrated experience in building scalable data ingestion frameworks to acquire and integrate data from diverse source systems in real-time, near real-time, and batch modes into operational data stores and enterprise data warehouses for downstream consumption.
  • Strong understanding of data modeling and storage strategies optimized for both operational and analytical use cases, including designing data structures that support reporting, low-latency access, and high-performance analytics.
  • Hands-on experience leveraging AI-assisted development tools (e.g., Copilot or similar) to accelerate engineering productivity, automate code generation and testing, and drive measurable improvements in developer efficiency and delivery timelines.
  • Deep expertise with Java, Spring (Boot/Batch), REST APIs, Microservices, and SQL.
  • Strong public cloud experience (3+ years), with preference for GCP and cloud-native architecture patterns.
  • Hands-on experience with streaming technologies such as Kafka, Pub/Sub, Kinesis, or RabbitMQ.
  • Proven experience leading large-scale data platform migrations or modernization initiatives.
  • Strong CI/CD experience using tools such as GitHub, Jenkins, Bamboo, Bitbucket, and automated testing frameworks.
  • Demonstrated ability to communicate effectively with senior leadership, including presenting technical strategies, risks, and outcomes to non-technical audiences.
  • Recent hands-on experience is required-this role is expected to actively engage in design, troubleshooting, and critical technical decisions.
  • Demonstrated success building and scaling high-performing engineering organizations with strong retention and engagement.

Preferred Qualifications
  • Contact Center domain experience, particularly within a data organization, supporting platforms such as NICE, Cresta, or similar ecosystems.
  • Experience supporting AI-enabled operational use cases, real-time analytics, or intelligent routing systems.
  • Experience with Operational Data Stores / Exchanges, enterprise data integration, and high-availability data platforms.
  • Working knowledge of data warehousing concepts, Informatica IDMC / Power Center, or similar ETL technologies.
  • Prior experience serving as a technical lead for distributed, cross-geography teams.

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